nips/nips2012.json

[
    {
        "title": "3D Gaze Concurrences from Head-mounted Cameras",
        "status": "Poster",
        "authors": "Hyun Soo Park, eakta Jain, Yaser Sheikh"
    },
    {
        "title": "3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model",
        "status": "Spotlight",
        "authors": "Sanja Fidler, Sven Dickinson, Raquel Urtasun"
    },
    {
        "title": "A Bayesian Approach for Policy Learning from Trajectory Preference Queries",
        "status": "Poster",
        "authors": "Aaron Wilson, Alan Fern, Prasad Tadepalli"
    },
    {
        "title": "A Better Way to Pre-Train Deep Boltzmann Machines",
        "status": "Poster",
        "authors": "Russ Salakhutdinov, Geoffrey E Hinton"
    },
    {
        "title": "A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation",
        "status": "Spotlight",
        "authors": "Aaron Defazio, Tiberio Caetano"
    },
    {
        "title": "A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation",
        "status": "Poster",
        "authors": "Cho-Jui Hsieh, Inderjit Dhillon, Pradeep Ravikumar, Arindam Banerjee"
    },
    {
        "title": "A Generative Model for Parts-based Object Segmentation",
        "status": "Poster",
        "authors": "S. M. Ali Eslami, Chris Williams"
    },
    {
        "title": "A Geometric take on Metric Learning",
        "status": "Poster",
        "authors": "S\u00f8ren Hauberg, Oren Freifeld, Michael J Black"
    },
    {
        "title": "A Linear Time Active Learning Algorithm for Link Classification",
        "status": "Poster",
        "authors": "Nicol\u00f2 Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella"
    },
    {
        "title": "A Marginalized Particle Gaussian Process Regression",
        "status": "Poster",
        "authors": "Yali Wang, Brahim Chaib-draa"
    },
    {
        "title": "A Neural Autoregressive Topic Model",
        "status": "Poster",
        "authors": "Hugo Larochelle, Stanislas Lauly"
    },
    {
        "title": "A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function",
        "status": "Poster",
        "authors": "Pedro Ortega, Tim Genewein, Jordi Grau-Moya, David Balduzzi, Daniel A Braun"
    },
    {
        "title": "A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling",
        "status": "Poster",
        "authors": "Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen"
    },
    {
        "title": "A Polylog Pivot Steps Simplex Algorithm for Classification",
        "status": "Poster",
        "authors": "Elad Hazan, Zohar S Karnin"
    },
    {
        "title": "A Polynomial-time Form of Robust Regression",
        "status": "Poster",
        "authors": "Yao-Liang Yu, \u00d6zlem Aslan, Dale Schuurmans"
    },
    {
        "title": "A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound",
        "status": "Poster",
        "authors": "Shusen Wang, Zhihua Zhang"
    },
    {
        "title": "A Simple and Practical Algorithm for Differentially Private Data Release",
        "status": "Poster",
        "authors": "Moritz Hardt, Katrina Ligett, Frank McSherry"
    },
    {
        "title": "A Spectral Algorithm for Latent Dirichlet Allocation",
        "status": "Spotlight",
        "authors": "Anima Anandkumar, Dean P Foster, Daniel Hsu, Sham M Kakade, Yi-Kai Liu"
    },
    {
        "title": "A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets",
        "status": "Oral",
        "authors": "Nicolas Le Roux, Mark Schmidt, Francis Bach"
    },
    {
        "title": "A System for Predicting Action Content On-Line and in Real Time before Action Onset in Humans \u2013 an Intracranial Study",
        "status": "Poster",
        "authors": "Uri M Maoz, Shengxuan Ye, Ian Ross, Adam Mamelak, Christof Koch"
    },
    {
        "title": "A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes",
        "status": "Oral",
        "authors": "Thomas Furmston, David Barber"
    },
    {
        "title": "A latent factor model for highly multi-relational data",
        "status": "Poster",
        "authors": "Rodolphe Jenatton, Nicolas Le Roux, Antoine Bordes, Guillaume R Obozinski"
    },
    {
        "title": "A lattice filter model of the visual pathway",
        "status": "Poster",
        "authors": "Karol Gregor, Dmitri B Chklovskii"
    },
    {
        "title": "A mechanistic model of early sensory processing based on subtracting sparse representations",
        "status": "Poster",
        "authors": "Shaul Druckmann, Tao Hu, Dmitri B Chklovskii"
    },
    {
        "title": "A new metric on the manifold of kernel matrices with application to matrix geometric means",
        "status": "Poster",
        "authors": "Suvrit Sra"
    },
    {
        "title": "A nonparametric variable clustering model",
        "status": "Poster",
        "authors": "David A Knowles, Konstantina Palla, Zoubin Ghahramani"
    },
    {
        "title": "A quasi-Newton proximal splitting method",
        "status": "Spotlight",
        "authors": "Stephen Becker, Jalal Fadili"
    },
    {
        "title": "A systematic approach to extracting semantic information from functional MRI data",
        "status": "Poster",
        "authors": "Francisco Pereira, Matthew Botvinick"
    },
    {
        "title": "Accelerated Training for Matrix-norm Regularization: A Boosting Approach",
        "status": "Poster",
        "authors": "Xinhua Zhang, Yao-Liang Yu, Dale Schuurmans"
    },
    {
        "title": "Accuracy at the Top",
        "status": "Poster",
        "authors": "Stephen Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic"
    },
    {
        "title": "Action-Model Based Multi-agent Plan Recognition",
        "status": "Poster",
        "authors": "Hankz Hankui Zhuo, Qiang Yang, Subbarao Kambhampati"
    },
    {
        "title": "Active Comparison of Prediction Models",
        "status": "Spotlight",
        "authors": "Christoph Sawade, Niels Landwehr, Tobias Scheffer"
    },
    {
        "title": "Active Learning of Model Evidence Using Bayesian Quadrature",
        "status": "Poster",
        "authors": "Michael A Osborne, David Duvenaud, Roman Garnett, Carl Edward Rasmussen, Stephen J Roberts, Zoubin Ghahramani"
    },
    {
        "title": "Active Learning of Multi-Index Function Models",
        "status": "Poster",
        "authors": "Hemant Tyagi, Volkan Cevher"
    },
    {
        "title": "Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting",
        "status": "Poster",
        "authors": "Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey"
    },
    {
        "title": "Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions",
        "status": "Poster",
        "authors": "Alexandra Carpentier, Remi Munos"
    },
    {
        "title": "Affine Independent Variational Inference",
        "status": "Poster",
        "authors": "Edward Challis, David Barber"
    },
    {
        "title": "Algorithms for Learning Markov Field Policies",
        "status": "Poster",
        "authors": "Abdeslam Boularias, Oliver Kroemer, Jan Peters"
    },
    {
        "title": "Analog readout for optical reservoir computers",
        "status": "Poster",
        "authors": "Anteo Smerieri, Fran\u00e7ois Duport, Yvan Paquot, Marc Haelterman, Serge Massar"
    },
    {
        "title": "Analyzing 3D Objects in Cluttered Images",
        "status": "Spotlight",
        "authors": "Mohsen Hejrati, Deva Ramanan"
    },
    {
        "title": "Ancestor Sampling for Particle Gibbs",
        "status": "Poster",
        "authors": "Fredrik Lindsten, Michael Jordan, Thomas Sch\u00f6n"
    },
    {
        "title": "Angular Quantization based Binary Codes for Fast Similarity Search",
        "status": "Poster",
        "authors": "Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik"
    },
    {
        "title": "Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning",
        "status": "Poster",
        "authors": "Ulugbek S Kamilov, Sundeep Rangan, Alyson Fletcher, MIchael Unser"
    },
    {
        "title": "Approximating Concavely Parameterized Optimization Problems",
        "status": "Oral",
        "authors": "Joachim Giesen, Jens K Mueller, S\u00f6ren Laue, Sascha Swiercy"
    },
    {
        "title": "Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand",
        "status": "Poster",
        "authors": "Amy Greenwald, Jiacui Li, Eric Sodomka"
    },
    {
        "title": "Assessing Blinding in Clinical Trials",
        "status": "Poster",
        "authors": "Ognjen Arandjelovic"
    },
    {
        "title": "Augment-and-Conquer Negative Binomial Processes",
        "status": "Spotlight",
        "authors": "Mingyuan Zhou, Lawrence Carin"
    },
    {
        "title": "Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics",
        "status": "Oral",
        "authors": "Ashwini Shukla, Aude Billard"
    },
    {
        "title": "Automatic Feature Induction for Stagewise Collaborative Filtering",
        "status": "Poster",
        "authors": "Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon"
    },
    {
        "title": "Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button",
        "status": "Poster",
        "authors": "Joan Fruitet, Alexandra Carpentier, Remi Munos, Maureen Clerc"
    },
    {
        "title": "Bayesian Hierarchical Reinforcement Learning",
        "status": "Poster",
        "authors": "Feng Cao, Soumya Ray"
    },
    {
        "title": "Bayesian Nonparametric Maximum Margin Matrix Factorization for Collaborative Prediction",
        "status": "Poster",
        "authors": "Minjie Xu, Jun Zhu, Bo Zhang"
    },
    {
        "title": "Bayesian Nonparametric Modeling of Suicide Attempts",
        "status": "Spotlight",
        "authors": "Francisco Ruiz, Isabel Valera, Carlos Blanco, Fernando Perez-Cruz"
    },
    {
        "title": "Bayesian Pedigree Analysis using Measure Factorization",
        "status": "Poster",
        "authors": "Bonnie Kirkpatrick, Alexandre Bouchard-C\u00f4t\u00e9"
    },
    {
        "title": "Bayesian Probabilistic Co-Subspace Addition",
        "status": "Poster",
        "authors": "Lei Shi"
    },
    {
        "title": "Bayesian Warped Gaussian Processes",
        "status": "Poster",
        "authors": "Miguel Lazaro-Gredilla"
    },
    {
        "title": "Bayesian active learning with localized priors for fast receptive field characterization",
        "status": "Poster",
        "authors": "Mijung Park, Jonathan W Pillow"
    },
    {
        "title": "Bayesian estimation of discrete entropy with mixtures of stick-breaking priors",
        "status": "Poster",
        "authors": "Evan Archer, Jonathan W Pillow, Il Memming Park"
    },
    {
        "title": "Bayesian models for Large-scale Hierarchical Classification",
        "status": "Poster",
        "authors": "Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil"
    },
    {
        "title": "Bayesian n-Choose-k Models for Classification and Ranking",
        "status": "Poster",
        "authors": "Kevin Swersky, Danny Tarlow, Richard Zemel, Ryan Adams, Brendan J Frey"
    },
    {
        "title": "Bayesian nonparametric models for bipartite graphs",
        "status": "Oral",
        "authors": "Francois Caron"
    },
    {
        "title": "Bayesian nonparametric models for ranked data",
        "status": "Poster",
        "authors": "Francois Caron, Yee Whye Teh"
    },
    {
        "title": "Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence",
        "status": "Poster",
        "authors": "Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric"
    },
    {
        "title": "Burn-in, bias, and the rationality of anchoring",
        "status": "Poster",
        "authors": "Falk Lieder, Tom Griffiths, Noah Goodman"
    },
    {
        "title": "CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem",
        "status": "Poster",
        "authors": "Henrik Ohlsson, Allen Y Yang, Roy Dong, Shankar Sastry"
    },
    {
        "title": "Calibrated Elastic Regularization in Matrix Completion",
        "status": "Poster",
        "authors": "Cun-Hui Zhang, Tingni Sun"
    },
    {
        "title": "Cardinality Restricted Boltzmann Machines",
        "status": "Poster",
        "authors": "Kevin Swersky, Danny Tarlow, Ilya Sutskever, Richard Zemel, Russ Salakhutdinov, Ryan Adams"
    },
    {
        "title": "Causal discovery with scale-mixture model for spatiotemporal variance dependencies",
        "status": "Poster",
        "authors": "Zhitang Chen, Kun Zhang, Laiwan CHAN"
    },
    {
        "title": "Classification Calibration Dimension for General Multiclass Losses",
        "status": "Spotlight",
        "authors": "Harish G Ramaswamy, Shivani Agarwal"
    },
    {
        "title": "Clustering Aggregation as Maximum-Weight Independent Set",
        "status": "Poster",
        "authors": "Nan Li, Longin Jan J Latecki"
    },
    {
        "title": "Clustering Sparse Graphs",
        "status": "Poster",
        "authors": "Yudong Chen, Sujay Sanghavi, Huan Xu"
    },
    {
        "title": "Clustering by Nonnegative Matrix Factorization Using Graph Random Walk",
        "status": "Poster",
        "authors": "Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja"
    },
    {
        "title": "Co-Regularized Hashing for Multimodal Data",
        "status": "Poster",
        "authors": "Yi Zhen, Dit-Yan Yeung"
    },
    {
        "title": "Cocktail Party Processing via Structured Prediction",
        "status": "Poster",
        "authors": "Yuxuan Wang, DeLiang Wang"
    },
    {
        "title": "Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing",
        "status": "Poster",
        "authors": "Shinsuke Koyama"
    },
    {
        "title": "Collaborative Gaussian Processes for Preference Learning",
        "status": "Poster",
        "authors": "Neil Houlsby, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Ferenc Huszar, Zoubin Ghahramani"
    },
    {
        "title": "Collaborative Ranking With 17 Parameters",
        "status": "Poster",
        "authors": "Maksims Volkovs, Richard Zemel"
    },
    {
        "title": "Communication-Efficient Algorithms for Statistical Optimization",
        "status": "Poster",
        "authors": "Yuchen Zhang, John Duchi, Martin J Wainwright"
    },
    {
        "title": "Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization",
        "status": "Poster",
        "authors": "Konstantinos Tsianos, Sean Lawlor, Michael Rabbat"
    },
    {
        "title": "Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models",
        "status": "Spotlight",
        "authors": "Jeff Beck, Katherine Heller, Alexandre Pouget"
    },
    {
        "title": "Compressive Sensing MRI with Wavelet Tree Sparsity",
        "status": "Poster",
        "authors": "Chen Chen, Junzhou Huang"
    },
    {
        "title": "Compressive neural representation of sparse, high-dimensional probabilities",
        "status": "Spotlight",
        "authors": "Xaq S Pitkow"
    },
    {
        "title": "Confusion-Based Online Learning and a Passive-Aggressive Scheme",
        "status": "Spotlight",
        "authors": "Liva Ralaivola"
    },
    {
        "title": "Context-Sensitive Decision Forests for Object Detection",
        "status": "Poster",
        "authors": "Peter Kontschieder, Samuel Rota Bul\u00f2, Antonio Criminisi, Pushmeet Kohli, Marcello Pelillo, Horst Bischof"
    },
    {
        "title": "Continuous Relaxations for Discrete Hamiltonian Monte Carlo",
        "status": "Spotlight",
        "authors": "Zoubin Ghahramani, Yichuan Zhang, Charles Sutton, Amos Storkey"
    },
    {
        "title": "Controlled Recognition Bounds for Visual Learning and Exploration",
        "status": "Poster",
        "authors": "Vasiliy Karasev, Chiuso Alessandro c/o Dip. I Informazione, Stefano Soatto"
    },
    {
        "title": "Convergence Rate Analysis of MAP Coordinate Minimization Algorithms",
        "status": "Poster",
        "authors": "Ofer Meshi, Tommi Jaakkola, Amir Globerson"
    },
    {
        "title": "Convergence and Energy Landscape for Cheeger Cut Clustering",
        "status": "Poster",
        "authors": "Xavier Bresson, Thomas Laurent, David Uminsky, James von Brecht"
    },
    {
        "title": "Convex Multi-view Subspace Learning",
        "status": "Poster",
        "authors": "Martha White, Yao-Liang Yu, Xinhua Zhang, Dale Schuurmans"
    },
    {
        "title": "Cost-Sensitive Exploration in Bayesian Reinforcement Learning",
        "status": "Poster",
        "authors": "Dongho Kim, Kee-Eung Kim, Pascal Poupart"
    },
    {
        "title": "Coupling Nonparametric Mixtures via Latent Dirichlet Processes",
        "status": "Poster",
        "authors": "Dahua Lin, John Fisher III"
    },
    {
        "title": "Deep Learning of invariant features via tracked video sequences",
        "status": "Poster",
        "authors": "Will Y Zou, Andrew Y Ng, Shenghuo Zhu, Kai Yu"
    },
    {
        "title": "Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images",
        "status": "Poster",
        "authors": "Dan Ciresan, Alessandro Giusti, luca Maria Gambardella, J\u00fcrgen Schmidhuber"
    },
    {
        "title": "Deep Representations and Codes for Image Auto-Annotation",
        "status": "Poster",
        "authors": "Jamie Kiros, Csaba Szepesvari"
    },
    {
        "title": "Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction",
        "status": "Spotlight",
        "authors": "Pietro Di Lena, Pierre Baldi, Ken Nagata"
    },
    {
        "title": "Delay Compensation with Dynamical Synapses",
        "status": "Spotlight",
        "authors": "C. C. Alan Fung, K. Y. Michael Wong, Si Wu"
    },
    {
        "title": "Density Propagation and Improved Bounds on the Partition Function",
        "status": "Poster",
        "authors": "Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman"
    },
    {
        "title": "Density-Difference Estimation",
        "status": "Poster",
        "authors": "Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus C du Plessis, Song Liu, Ichiro Takeuchi"
    },
    {
        "title": "Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification",
        "status": "Poster",
        "authors": "Yung-Kyun Noh, Frank Park, Daniel Lee"
    },
    {
        "title": "Dimensionality Dependent PAC-Bayes Margin Bound",
        "status": "Poster",
        "authors": "Chi Jin, Liwei Wang"
    },
    {
        "title": "Dip-means: an incremental clustering method for estimating the number of clusters",
        "status": "Poster",
        "authors": "Argyris Kalogeratos, Aristidis Likas"
    },
    {
        "title": "Discriminative Learning of Sum-Product Networks",
        "status": "Oral",
        "authors": "Robert Gens, Pedro Domingos"
    },
    {
        "title": "Discriminatively Trained Sparse Code Gradients for Contour Detection",
        "status": "Spotlight",
        "authors": "Xiaofeng Ren, Liefeng Bo"
    },
    {
        "title": "Distributed Non-Stochastic Experts",
        "status": "Poster",
        "authors": "Varun Kanade, Zhenming Liu, Bozidar Radunovic"
    },
    {
        "title": "Distributed Probabilistic Learning for Camera Networks with Missing Data",
        "status": "Poster",
        "authors": "Sejong Yoon, Vladimir Pavlovic"
    },
    {
        "title": "Dual-Space Analysis of the Sparse Linear Model",
        "status": "Poster",
        "authors": "David P Wipf"
    },
    {
        "title": "Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction",
        "status": "Poster",
        "authors": "Christoph Lampert"
    },
    {
        "title": "Dynamical And-Or Graph Learning for Object Shape Modeling and Detection",
        "status": "Poster",
        "authors": "Xiaolong Wang, Liang Lin"
    },
    {
        "title": "Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data",
        "status": "Poster",
        "authors": "Michael Hughes, Emily Fox, Erik Sudderth"
    },
    {
        "title": "Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search",
        "status": "Poster",
        "authors": "Arthur Guez, David Silver, Peter Dayan"
    },
    {
        "title": "Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions",
        "status": "Poster",
        "authors": "Richard G Gibson, Marc Lanctot, Neil Burch, Duane Szafron"
    },
    {
        "title": "Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems",
        "status": "Poster",
        "authors": "Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy"
    },
    {
        "title": "Efficient Sampling for Bipartite Matching Problems",
        "status": "Poster",
        "authors": "Maksims Volkovs, Richard Zemel"
    },
    {
        "title": "Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model",
        "status": "Spotlight",
        "authors": "Sander M Bohte"
    },
    {
        "title": "Efficient and direct estimation of a neural subunit model for sensory coding",
        "status": "Poster",
        "authors": "Brett Vintch, Andrew Zaharia, J Movshon, Eero Simoncelli"
    },
    {
        "title": "Efficient coding connects prior and likelihood function in perceptual Bayesian inference",
        "status": "Poster",
        "authors": "Xue-Xin Wei, Alan A Stocker"
    },
    {
        "title": "Efficient high dimensional maximum entropy modeling via symmetric partition functions",
        "status": "Spotlight",
        "authors": "Paul Vernaza, Drew Bagnell"
    },
    {
        "title": "Emergence of Object-Selective Features in Unsupervised Feature Learning",
        "status": "Poster",
        "authors": "Adam Coates, Andrej Karpathy, Andrew Y Ng"
    },
    {
        "title": "Ensemble weighted kernel estimators for multivariate entropy estimation",
        "status": "Poster",
        "authors": "Kumar Sricharan, Alfred Hero"
    },
    {
        "title": "Entangled Monte Carlo",
        "status": "Spotlight",
        "authors": "Seong-Hwan Jun, Liangliang Wang, Alexandre Bouchard-C\u00f4t\u00e9"
    },
    {
        "title": "Entropy Estimations Using Correlated Symmetric Stable Random Projections",
        "status": "Poster",
        "authors": "Ping Li, Cun-Hui Zhang"
    },
    {
        "title": "Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential \u21131-Minimization",
        "status": "Spotlight",
        "authors": "Demba Ba, Behtash Babadi, Patrick Purdon, Emery Brown"
    },
    {
        "title": "Expectation Propagation in Gaussian Process Dynamical Systems",
        "status": "Poster",
        "authors": "Marc Deisenroth, Shakir Mohamed"
    },
    {
        "title": "Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress",
        "status": "Poster",
        "authors": "Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer"
    },
    {
        "title": "Exponential Concentration for Mutual Information Estimation with Application to Forests",
        "status": "Poster",
        "authors": "Han Liu, John Lafferty, Larry Wasserman"
    },
    {
        "title": "Factorial LDA: Sparse Multi-Dimensional Text Models",
        "status": "Poster",
        "authors": "Michael J Paul, Mark Dredze"
    },
    {
        "title": "Factoring nonnegative matrices with linear programs",
        "status": "Spotlight",
        "authors": "Benjamin Recht, Christopher Re, Joel A Tropp, Victor Bittorf"
    },
    {
        "title": "Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression",
        "status": "Poster",
        "authors": "Mohammad Emtiyaz Khan, Shakir Mohamed, Kevin Murphy"
    },
    {
        "title": "Fast Resampling Weighted v-Statistics",
        "status": "Spotlight",
        "authors": "Chunxiao Zhou, jiseong Park, Yun Fu"
    },
    {
        "title": "Fast Variational Inference in the Conjugate Exponential Family",
        "status": "Poster",
        "authors": "James Hensman, Magnus Rattray, Neil D Lawrence"
    },
    {
        "title": "FastEx: Fast Clustering with Exponential Families",
        "status": "Poster",
        "authors": "Amr Ahmed, Sujith Ravi, Shravan M Narayanamurthy, Alexander Smola"
    },
    {
        "title": "Feature Clustering for Accelerating Parallel Coordinate Descent",
        "status": "Poster",
        "authors": "Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David Haglin"
    },
    {
        "title": "Feature-aware Label Space Dimension Reduction for Multi-label Classification",
        "status": "Poster",
        "authors": "Yao-Nan Chen, Hsuan-Tien Lin"
    },
    {
        "title": "Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling",
        "status": "Poster",
        "authors": "Antonino Freno, Mikaela Keller, Marc Tommasi"
    },
    {
        "title": "Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery",
        "status": "Poster",
        "authors": "Ehsan Elhamifar, Guillermo Sapiro, Ren\u00e9 Vidal"
    },
    {
        "title": "Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods",
        "status": "Poster",
        "authors": "John Duchi, Michael Jordan, Martin J Wainwright, Andre Wibisono"
    },
    {
        "title": "Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach",
        "status": "Poster",
        "authors": "Dijun Luo, Chris Ding, Heng Huang"
    },
    {
        "title": "Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models",
        "status": "Poster",
        "authors": "Kei Wakabayashi, Takao Miura"
    },
    {
        "title": "From Deformations to Parts: Motion-based Segmentation of 3D Objects",
        "status": "Poster",
        "authors": "Soumya Ghosh, Erik Sudderth, Matthew Loper, Michael J Black"
    },
    {
        "title": "Fully Bayesian inference for neural models with negative-binomial spiking",
        "status": "Poster",
        "authors": "Jonathan W Pillow, James Scott"
    },
    {
        "title": "Fused sparsity and robust estimation for linear models with unknown variance",
        "status": "Poster",
        "authors": "Arnak Dalalyan, Yin Chen"
    },
    {
        "title": "Fusion with Diffusion for Robust Visual Tracking",
        "status": "Poster",
        "authors": "Yu Zhou, Xiang Bai, Wenyu Liu, Longin Jan J Latecki"
    },
    {
        "title": "GenDeR: A Generic Diversified Ranking Algorithm",
        "status": "Poster",
        "authors": "Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw K Szymanski"
    },
    {
        "title": "Generalization Bounds for Domain Adaptation",
        "status": "Poster",
        "authors": "Chao Zhang, Jieping Ye, Lei Zhang"
    },
    {
        "title": "Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins",
        "status": "Poster",
        "authors": "Alex Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun"
    },
    {
        "title": "Gradient Weights help Nonparametric Regressors",
        "status": "Oral",
        "authors": "Samory Kpotufe, Abdeslam Boularias"
    },
    {
        "title": "Gradient-based kernel method for feature extraction and variable selection",
        "status": "Poster",
        "authors": "Kenji Fukumizu, Chenlei Leng"
    },
    {
        "title": "Graphical Gaussian Vector for Image Categorization",
        "status": "Poster",
        "authors": "Tatsuya Harada"
    },
    {
        "title": "Graphical Models via Generalized Linear Models",
        "status": "Oral",
        "authors": "Eunho Yang, Pradeep Ravikumar, Genevera I Allen, zhandong Liu"
    },
    {
        "title": "Hamming Distance Metric Learning",
        "status": "Poster",
        "authors": "Mohammad Norouzi, Russ Salakhutdinov, David Fleet"
    },
    {
        "title": "Hierarchical Optimistic Region Selection driven by Curiosity",
        "status": "Poster",
        "authors": "Odalric-Ambrym Maillard"
    },
    {
        "title": "Hierarchical spike coding of sound",
        "status": "Spotlight",
        "authors": "yan karklin, Chaitanya Ekanadham, Eero Simoncelli"
    },
    {
        "title": "High Dimensional Semiparametric Scale-invariant Principal Component Analysis",
        "status": "Poster",
        "authors": "Fang Han, Han Liu"
    },
    {
        "title": "High Dimensional Transelliptical Graphical Models",
        "status": "Poster",
        "authors": "Han Liu, Fang Han"
    },
    {
        "title": "High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer Disease Progression Prediction",
        "status": "Oral",
        "authors": "Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen"
    },
    {
        "title": "High-dimensional Nonparanormal Graph Estimation via Smooth-projected Neighborhood Pursuit",
        "status": "Poster",
        "authors": "Tuo Zhao, Kathryn Roeder, Han Liu"
    },
    {
        "title": "Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints",
        "status": "Poster",
        "authors": "Stefan Habenschuss, Johannes Bill, Bernhard Nessler"
    },
    {
        "title": "How Prior Probability Influences Decision Making: A Unifying Probabilistic Model",
        "status": "Poster",
        "authors": "Yanping Huang, Abram Friesen, Timothy Hanks, Michael N Shadlen, Rajesh PN Rao"
    },
    {
        "title": "How They Vote: Issue-Adjusted Models of Legislative Behavior",
        "status": "Poster",
        "authors": "Sean Gerrish, David Blei"
    },
    {
        "title": "Human memory search as a random walk in a semantic network",
        "status": "Spotlight",
        "authors": "Joshua T Abbott, Joseph L Austerweil, Tom Griffiths"
    },
    {
        "title": "Identifiability and Unmixing of Latent Parse Trees",
        "status": "Poster",
        "authors": "Percy Liang, Sham M Kakade, Daniel Hsu"
    },
    {
        "title": "Identification of Recurrent Patterns in the Activation of Brain Networks",
        "status": "Spotlight",
        "authors": "Firdaus Janoos, Weichang Li, Niranjan Subrahmanya, Istvan Morocz, William Wells"
    },
    {
        "title": "Image Denoising and Inpainting with Deep Neural Networks",
        "status": "Poster",
        "authors": "Junyuan Xie, Linli Xu, Enhong Chen"
    },
    {
        "title": "ImageNet Classification with Deep Convolutional Neural Networks",
        "status": "Spotlight",
        "authors": "Alex Krizhevsky, Ilya Sutskever, Geoffrey E Hinton"
    },
    {
        "title": "Imitation Learning by Coaching",
        "status": "Poster",
        "authors": "He He, Hal Daum\u00e9 III, Jason Eisner"
    },
    {
        "title": "Interpreting prediction markets: a stochastic approach",
        "status": "Poster",
        "authors": "Nicol\u00e1s Della Penna, Mark Reid, Rafael Frongillo"
    },
    {
        "title": "Inverse Reinforcement Learning through Structured Classification",
        "status": "Poster",
        "authors": "Edouard Klein, Matthieu Geist, BILAL PIOT, Olivier Pietquin"
    },
    {
        "title": "Isotropic Hashing",
        "status": "Poster",
        "authors": "Weihao Kong, Wu-Jun Li"
    },
    {
        "title": "Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation",
        "status": "Poster",
        "authors": "Benjamin Rolfs, Bala Rajaratnam, Dominique Guillot, Arian Maleki, Ian Wong"
    },
    {
        "title": "Iterative ranking from pair-wise comparisons",
        "status": "Spotlight",
        "authors": "Sahand N Negahban, Sewoong Oh, Devavrat Shah"
    },
    {
        "title": "Joint Modeling of a Matrix with Associated Text via Latent Binary Features",
        "status": "Poster",
        "authors": "XianXing Zhang, Lawrence Carin"
    },
    {
        "title": "Kernel Hyperalignment",
        "status": "Spotlight",
        "authors": "Alexander Lorbert, Peter J Ramadge"
    },
    {
        "title": "Kernel Latent SVM for Visual Recognition",
        "status": "Poster",
        "authors": "Weilong Yang, Yang Wang, Arash Vahdat, Greg Mori"
    },
    {
        "title": "LUCID: Locally Uniform Comparison Image Descriptor",
        "status": "Poster",
        "authors": "Andrew M Ziegler, Eric Christiansen, David Kriegman, Serge Belongie"
    },
    {
        "title": "Label Ranking with Partial Abstention based on Thresholded Probabilistic Models",
        "status": "Poster",
        "authors": "Weiwei Cheng, Eyke Huellermeier, Willem Waegeman, Volkmar Welker"
    },
    {
        "title": "Large Scale Distributed Deep Networks",
        "status": "Poster",
        "authors": "Jeff Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V Le, Mark Mao, Marc'Aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Andrew Y Ng"
    },
    {
        "title": "Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning",
        "status": "Poster",
        "authors": "Matthew F Der, Lawrence Saul"
    },
    {
        "title": "Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs",
        "status": "Poster",
        "authors": "Anima Anandkumar, Ragupathyraj Valluvan"
    },
    {
        "title": "Learned Prioritization for Trading Off Accuracy and Speed",
        "status": "Poster",
        "authors": "Jiarong Jiang, Adam Teichert, Hal Daum\u00e9 III, Jason Eisner"
    },
    {
        "title": "Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs",
        "status": "Poster",
        "authors": "Aharon Birnbaum, Shai Shalev-Shwartz"
    },
    {
        "title": "Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data",
        "status": "Poster",
        "authors": "Assaf Glazer, Michael Lindenbaum, Shaul Markovitch"
    },
    {
        "title": "Learning Image Descriptors with the Boosting-Trick",
        "status": "Poster",
        "authors": "Tomasz Trzcinski, Christos M Christoudias, Vincent Lepetit, Pascal Fua"
    },
    {
        "title": "Learning Invariant Representations of Molecules for Atomization Energy Prediction",
        "status": "Poster",
        "authors": "Gr\u00e9goire Montavon, Katja Hansen, Siamac Fazli, Matthias Rupp, Franziska Biegler, Andreas Ziehe, Alexandre Tkatchenko, Anatole von Lilienfeld, Klaus-Robert M\u00fcller"
    },
    {
        "title": "Learning Label Trees for Probabilistic Modelling of Implicit Feedback",
        "status": "Poster",
        "authors": "Andriy Mnih, Yee Whye Teh"
    },
    {
        "title": "Learning Manifolds with K-Means and K-Flats",
        "status": "Poster",
        "authors": "Guillermo D Canas, Tomaso Poggio, Lorenzo Rosasco"
    },
    {
        "title": "Learning Mixtures of Tree Graphical Models",
        "status": "Poster",
        "authors": "Anima Anandkumar, Daniel Hsu, Furong Huang, Sham M Kakade"
    },
    {
        "title": "Learning Multiple Tasks using Shared Hypotheses",
        "status": "Poster",
        "authors": "Yacov Crammer, Yishay Mansour"
    },
    {
        "title": "Learning Networks of Heterogeneous Influence",
        "status": "Spotlight",
        "authors": "Nan Du, Le Song, Alexander Smola, Ming Yuan"
    },
    {
        "title": "Learning Partially Observable Models Using Temporally Abstract Decision Trees",
        "status": "Poster",
        "authors": "Erik Talvitie"
    },
    {
        "title": "Learning Probability Measures with respect to Optimal Transport Metrics",
        "status": "Poster",
        "authors": "Guillermo D Canas, Lorenzo Rosasco"
    },
    {
        "title": "Learning about Canonical Views from Internet Image Collections",
        "status": "Poster",
        "authors": "Elad Mezuman, Yair Weiss"
    },
    {
        "title": "Learning as MAP Inference in Discrete Graphical Models",
        "status": "Poster",
        "authors": "Tiberio Caetano, Xianghang Liu, James Petterson"
    },
    {
        "title": "Learning curves for multi-task Gaussian process regression",
        "status": "Poster",
        "authors": "Peter Sollich, Simon R Ashton"
    },
    {
        "title": "Learning from Distributions via Support Measure Machines",
        "status": "Spotlight",
        "authors": "Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "Learning from the Wisdom of Crowds by Minimax Entropy",
        "status": "Poster",
        "authors": "Denny Zhou, John C Platt, Sumit Basu, Yi Mao"
    },
    {
        "title": "Learning optimal spike-based representations",
        "status": "Poster",
        "authors": "Ralph Bourdoukan, David Barrett, Christian Machens, Sophie Den\u00e8ve"
    },
    {
        "title": "Learning the Architecture of Sum-Product Networks Using Clustering on Variables",
        "status": "Poster",
        "authors": "Aaron Dennis, Dan Ventura"
    },
    {
        "title": "Learning the Dependency Structure of Latent Factors",
        "status": "Poster",
        "authors": "Yunlong He, Yanjun Qi, koray kavukcuoglu, Haesun Park"
    },
    {
        "title": "Learning to Align from Scratch",
        "status": "Poster",
        "authors": "Gary B Huang, Marwan A Mattar, Honglak Lee, Erik Learned-Miller"
    },
    {
        "title": "Learning to Discover Social Circles in Ego Networks",
        "status": "Poster",
        "authors": "Julian J McAuley, Jure Leskovec"
    },
    {
        "title": "Learning visual motion in recurrent neural networks",
        "status": "Poster",
        "authors": "Marius Pachitariu, Maneesh Sahani"
    },
    {
        "title": "Learning with Partially Absorbing Random Walks",
        "status": "Poster",
        "authors": "Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang, John Wright, Anthony Man-Cho So"
    },
    {
        "title": "Learning with Recursive Perceptual Representations",
        "status": "Poster",
        "authors": "Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell"
    },
    {
        "title": "Learning with Target Prior",
        "status": "Poster",
        "authors": "Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji"
    },
    {
        "title": "Link Prediction in Graphs with Autoregressive Features",
        "status": "Poster",
        "authors": "Emile Richard, Stephane Gaiffas, Nicolas Vayatis"
    },
    {
        "title": "Local Supervised Learning through Space Partitioning",
        "status": "Poster",
        "authors": "Joseph Wang, Venkatesh Saligrama"
    },
    {
        "title": "Localizing 3D cuboids in single-view images",
        "status": "Poster",
        "authors": "Jianxiong Xiao, Bryan C Russell, Antonio Torralba"
    },
    {
        "title": "Locating Changes in Highly Dependent Data with Unknown Number of Change Points",
        "status": "Spotlight",
        "authors": "Azadeh Khaleghi, Daniil Ryabko"
    },
    {
        "title": "MAP Inference in Chains using Column Generation",
        "status": "Poster",
        "authors": "David Belanger, Alexandre T Passos, Sebastian Riedel, Andrew McCallum"
    },
    {
        "title": "MCMC for continuous-time discrete-state systems",
        "status": "Poster",
        "authors": "Vinayak Rao, Yee Whye Teh"
    },
    {
        "title": "Majorization for CRFs and Latent Likelihoods",
        "status": "Spotlight",
        "authors": "Tony Jebara, Anna Choromanska"
    },
    {
        "title": "Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification",
        "status": "Poster",
        "authors": "Wei Bi, James Kwok"
    },
    {
        "title": "Matrix reconstruction with the local max norm",
        "status": "Poster",
        "authors": "Rina Foygel, Nati Srebro, Russ Salakhutdinov"
    },
    {
        "title": "Max-Margin Structured Output Regression for Spatio-Temporal Action Localization",
        "status": "Poster",
        "authors": "Du Tran, Junsong Yuan"
    },
    {
        "title": "Meta-Gaussian Information Bottleneck",
        "status": "Poster",
        "authors": "Melanie Rey, Volker Roth"
    },
    {
        "title": "Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL",
        "status": "Poster",
        "authors": "Nishant A Mehta, Dongryeol Lee, Alexander Gray"
    },
    {
        "title": "Minimization of Continuous Bethe Approximations: A Positive Variation",
        "status": "Poster",
        "authors": "Jason Pacheco, Erik Sudderth"
    },
    {
        "title": "Minimizing Sparse High-Order Energies by Submodular Vertex-Cover",
        "status": "Poster",
        "authors": "Andrew Delong, Olga Veksler, Anton Osokin, Yuri Boykov"
    },
    {
        "title": "Minimizing Uncertainty in Pipelines",
        "status": "Poster",
        "authors": "Nilesh Dalvi, Aditya Parameswaran, Vibhor Rastogi"
    },
    {
        "title": "Mirror Descent Meets Fixed Share (and feels no regret)",
        "status": "Poster",
        "authors": "Nicol\u00f2 Cesa-Bianchi, Pierre Gaillard, Gabor Lugosi, Gilles Stoltz"
    },
    {
        "title": "Mixability in Statistical Learning",
        "status": "Poster",
        "authors": "Tim van Erven, Peter Gr\u00fcnwald, Mark Reid, Robert Williamson"
    },
    {
        "title": "Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions",
        "status": "Poster",
        "authors": "Mathieu Sinn, Bei Chen"
    },
    {
        "title": "Modeling the Forgetting Process using Image Regions",
        "status": "Poster",
        "authors": "Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva"
    },
    {
        "title": "Modelling Reciprocating Relationships with Hawkes processes",
        "status": "Spotlight",
        "authors": "Charles Blundell, Katherine Heller, Jeff Beck"
    },
    {
        "title": "Monte Carlo Methods for Maximum Margin Supervised Topic Models",
        "status": "Poster",
        "authors": "Qixia Jiang, Jun Zhu, Maosong Sun, Eric Xing"
    },
    {
        "title": "Multi-Stage Multi-Task Feature Learning",
        "status": "Spotlight",
        "authors": "Pinghua Gong, Jieping Ye, Changshui Zhang"
    },
    {
        "title": "Multi-Task Averaging",
        "status": "Poster",
        "authors": "Sergey Feldman, Maya R Gupta, Bela A Frigyik"
    },
    {
        "title": "Multi-criteria Anomaly Detection using Pareto Depth Analysis",
        "status": "Spotlight",
        "authors": "Ko-Jen Hsiao, Kevin S Xu, Jeff Calder, Alfred Hero"
    },
    {
        "title": "Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA",
        "status": "Poster",
        "authors": "Chuanxin Niu, Sirish Nandyala, Won Joon Sohn, Terence Sanger"
    },
    {
        "title": "Multi-task Vector Field Learning",
        "status": "Poster",
        "authors": "Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He"
    },
    {
        "title": "Multiclass Learning Approaches: A Theoretical Comparison with Implications",
        "status": "Spotlight",
        "authors": "Amit Daniely, Sivan Sabato, Shai Shalev-Shwartz"
    },
    {
        "title": "Multiclass Learning with Simplex Coding",
        "status": "Poster",
        "authors": "Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco, Jean-Jacques Slotine"
    },
    {
        "title": "Multilabel Classification using Bayesian Compressed Sensing",
        "status": "Poster",
        "authors": "Ashish Kapoor, Raajay Viswanathan, Prateek Jain"
    },
    {
        "title": "Multimodal Learning with Deep Boltzmann Machines",
        "status": "Oral",
        "authors": "Nitish Srivastava, Russ Salakhutdinov"
    },
    {
        "title": "Multiple Choice Learning: Learning to Produce Multiple Structured Outputs",
        "status": "Poster",
        "authors": "Abner Guzm\u00e1n-Rivera, Dhruv Batra, Pushmeet Kohli"
    },
    {
        "title": "Multiple Operator-valued Kernel Learning",
        "status": "Poster",
        "authors": "Hachem Kadri, Alain Rakotomamonjy, Francis Bach, philippe preux"
    },
    {
        "title": "Multiplicative Forests for Continuous-Time Processes",
        "status": "Poster",
        "authors": "Jeremy C Weiss, Sriraam Natarajan, David Page"
    },
    {
        "title": "Multiresolution Gaussian Processes",
        "status": "Poster",
        "authors": "Emily Fox, David B Dunson"
    },
    {
        "title": "Multiresolution analysis on the symmetric group",
        "status": "Poster",
        "authors": "Risi Kondor, Walter H Dempsey"
    },
    {
        "title": "Natural Images, Gaussian Mixtures and Dead Leaves",
        "status": "Poster",
        "authors": "Daniel Zoran, Yair Weiss"
    },
    {
        "title": "Near Optimal Chernoff Bounds for Markov Decision Processes",
        "status": "Spotlight",
        "authors": "Teodor Mihai Moldovan, Pieter Abbeel"
    },
    {
        "title": "Near-Optimal MAP Inference for Determinantal Point Processes",
        "status": "Oral",
        "authors": "Alex Kulesza, Jennifer A Gillenwater, Ben Taskar"
    },
    {
        "title": "Near-optimal Differentially Private Principal Components",
        "status": "Poster",
        "authors": "Kamalika Chaudhuri, Anand D Sarwate, Kaushik Sinha"
    },
    {
        "title": "Neurally Plausible Reinforcement Learning of Working Memory Tasks",
        "status": "Poster",
        "authors": "Jaldert Rombouts, Sander M Bohte, Pieter Roelfsema"
    },
    {
        "title": "Neuronal spike generation mechanism as an oversampling, noise-shaping A-to-D converter",
        "status": "Poster",
        "authors": "Dmitri B Chklovskii"
    },
    {
        "title": "Newton-Like Methods for Sparse Inverse Covariance Estimation",
        "status": "Poster",
        "authors": "Peder A Olsen, Figen Oztoprak, Jorge Nocedal, Steven J Rennie"
    },
    {
        "title": "No voodoo here! Learning discrete graphical models via inverse covariance estimation",
        "status": "Oral",
        "authors": "Po-Ling Loh, Martin J Wainwright"
    },
    {
        "title": "No-Regret Algorithms for Unconstrained Online Convex Optimization",
        "status": "Poster",
        "authors": "Matthew Streeter, Brendan McMahan"
    },
    {
        "title": "Non-linear Metric Learning",
        "status": "Poster",
        "authors": "Dor Kedem, Stephen Tyree, Kilian Q Weinberger, Fei Sha, Gert Lanckriet"
    },
    {
        "title": "Non-parametric Approximate Dynamic Programming via the Kernel Method",
        "status": "Poster",
        "authors": "Nikhil Bhat, Ciamac C Moallemi, Vivek Farias"
    },
    {
        "title": "Nonconvex Penalization, Levy Processes and Concave Conjugates",
        "status": "Poster",
        "authors": "Zhihua Zhang, Bojun Tu"
    },
    {
        "title": "Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions",
        "status": "Poster",
        "authors": "Jaedeug Choi, Kee-Eung Kim"
    },
    {
        "title": "Nonparametric Reduced Rank Regression",
        "status": "Poster",
        "authors": "Rina Foygel, Michael Horrell, Mathias Drton, John Lafferty"
    },
    {
        "title": "Nonparanormal Belief Propagation (NPBP)",
        "status": "Poster",
        "authors": "Gal Elidan, Cobi Cario"
    },
    {
        "title": "Nystr{\u00f6}m Method vs Random Fourier Features: A Theoretical and Empirical Comparison",
        "status": "Poster",
        "authors": "Tianbao Yang, Yu-Feng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou"
    },
    {
        "title": "On Lifting the Gibbs Sampling Algorithm",
        "status": "Poster",
        "authors": "Deepak Venugopal, Vibhav Gogate"
    },
    {
        "title": "On Multilabel Classification and Ranking with Partial Feedback",
        "status": "Spotlight",
        "authors": "Claudio Gentile, Francesco Orabona"
    },
    {
        "title": "On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks",
        "status": "Poster",
        "authors": "Qirong Ho, Junming Yin, Eric Xing"
    },
    {
        "title": "On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking",
        "status": "Oral",
        "authors": "Cl\u00e9ment Calauz\u00e8nes, Nicolas Usunier, Patrick Gallinari"
    },
    {
        "title": "On the Sample Complexity of Robust PCA",
        "status": "Poster",
        "authors": "Matthew Coudron, Gilad Lerman"
    },
    {
        "title": "On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes",
        "status": "Oral",
        "authors": "Bruno Scherrer, Boris Lesner"
    },
    {
        "title": "On the connections between saliency and tracking",
        "status": "Poster",
        "authors": "Vijay Mahadevan, Nuno Vasconcelos"
    },
    {
        "title": "On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization",
        "status": "Poster",
        "authors": "Andre S Barreto, Doina Precup, Joelle Pineau"
    },
    {
        "title": "One Permutation Hashing",
        "status": "Poster",
        "authors": "Ping Li, Art B Owen, Cun-Hui Zhang"
    },
    {
        "title": "Online L1-Dictionary Learning with Application to Novel Document Detection",
        "status": "Poster",
        "authors": "Shiva Kasiviswanathan, Huahua Wang, Arindam Banerjee, Prem Melville"
    },
    {
        "title": "Online Regret Bounds for Undiscounted Continuous Reinforcement Learning",
        "status": "Poster",
        "authors": "Ronald Ortner, Daniil Ryabko"
    },
    {
        "title": "Online Sum-Product Computation",
        "status": "Poster",
        "authors": "Mark Herbster, Fabio Vitale, Stephen Pasteris"
    },
    {
        "title": "Online allocation and homogeneous partitioning for piecewise constant mean-approximation",
        "status": "Poster",
        "authors": "Alexandra Carpentier, Odalric-Ambrym Maillard"
    },
    {
        "title": "Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss",
        "status": "Poster",
        "authors": "Zhuo Wang, Alan A Stocker, Daniel Lee"
    },
    {
        "title": "Optimal Regularized Dual Averaging Methods for Stochastic Optimization",
        "status": "Poster",
        "authors": "Xi Chen, Qihang Lin, Javier Pena"
    },
    {
        "title": "Optimal kernel choice for large-scale two-sample tests",
        "status": "Poster",
        "authors": "Arthur Gretton, Bharath Sriperumbudur, Dino Sejdinovic, Heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu"
    },
    {
        "title": "Parametric Local Metric Learning for Nearest Neighbor Classification",
        "status": "Poster",
        "authors": "Jun Wang, Alexandros Kalousis, Adam Woznica"
    },
    {
        "title": "Patient Risk Stratification for Hospital-Associated C. Diff as a Time-Series Classification Task",
        "status": "Spotlight",
        "authors": "Jenna Wiens, John Guttag, Eric Horvitz"
    },
    {
        "title": "Perceptron Learning of SAT",
        "status": "Poster",
        "authors": "Alex Flint, Matthew B Blaschko"
    },
    {
        "title": "Perfect Dimensionality Recovery by Variational Bayesian PCA",
        "status": "Poster",
        "authors": "Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan"
    },
    {
        "title": "Persistent Homology for Learning Densities with Bounded Support",
        "status": "Poster",
        "authors": "Florian T Pokorny, Carl Henrik Ek, Hedvig Kjellstr\u00f6m, Danica Kragic"
    },
    {
        "title": "Phoneme Classification using Constrained Variational Gaussian Process Dynamical System",
        "status": "Poster",
        "authors": "Hyunsin Park, Jongmin Kim, Sanghyuk Park, Sungrack Yun, Chang D. D Yoo"
    },
    {
        "title": "Pointwise Tracking the Optimal Regression Function",
        "status": "Spotlight",
        "authors": "Yair Wiener, Ran El-Yaniv"
    },
    {
        "title": "Practical Bayesian Optimization of Machine Learning Algorithms",
        "status": "Poster",
        "authors": "Jasper Snoek, Hugo Larochelle, Ryan Adams"
    },
    {
        "title": "Priors for Diversity in Generative Latent Variable Models",
        "status": "Poster",
        "authors": "James Y Zou, Ryan Adams"
    },
    {
        "title": "Privacy Aware Learning",
        "status": "Oral",
        "authors": "John Duchi, Michael Jordan, Martin J Wainwright"
    },
    {
        "title": "Probabilistic Event Cascades for Alzheimer's disease",
        "status": "Poster",
        "authors": "Jonathan Huang, Daniel C Alexander"
    },
    {
        "title": "Probabilistic Low-Rank Subspace Clustering",
        "status": "Poster",
        "authors": "S. Derin Babacan, Shinichi Nakajima, Minh Do"
    },
    {
        "title": "Probabilistic Topic Coding for Superset Label Learning",
        "status": "Poster",
        "authors": "Liping Liu, Thomas Dietterich"
    },
    {
        "title": "Projection Retrieval for Classification",
        "status": "Poster",
        "authors": "Madalina Fiterau, Artur Dubrawski"
    },
    {
        "title": "Proper losses for learning from partial labels",
        "status": "Poster",
        "authors": "Jesus Cid-Sueiro"
    },
    {
        "title": "Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders",
        "status": "Poster",
        "authors": "Sanjeev Arora, Rong Ge, Ankur Moitra, Sushant Sachdeva"
    },
    {
        "title": "Proximal Newton-type Methods for Minimizing Convex Objective Functions in Composite Form",
        "status": "Poster",
        "authors": "Jason D Lee, Yuekai Sun, Michael Saunders"
    },
    {
        "title": "Putting Bayes to sleep",
        "status": "Spotlight",
        "authors": "Wouter M Koolen, Dmitri Adamskiy, Manfred K. Warmuth"
    },
    {
        "title": "Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging",
        "status": "Poster",
        "authors": "Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C Johnson"
    },
    {
        "title": "Query Complexity of Derivative-Free Optimization",
        "status": "Poster",
        "authors": "Kevin G Jamieson, Rob Nowak, Benjamin Recht"
    },
    {
        "title": "Random Utility Theory for Social Choice: Theory and Algorithms",
        "status": "Poster",
        "authors": "Hossein Azari Soufiani, David C Parkes, Lirong Xia"
    },
    {
        "title": "Random function priors for exchangeable graphs and arrays",
        "status": "Poster",
        "authors": "James R Lloyd, Daniel Roy, Peter Orbanz, Zoubin Ghahramani"
    },
    {
        "title": "Rational inference of relative preferences",
        "status": "Poster",
        "authors": "Nisheeth Srivastava, Paul R Schrater"
    },
    {
        "title": "Recognizing Activities by Attribute Dynamics",
        "status": "Poster",
        "authors": "Weixin Li, Nuno Vasconcelos"
    },
    {
        "title": "Recovery of Sparse Probability Measures via Convex Programming",
        "status": "Poster",
        "authors": "Mert Pilanci, Laurent El Ghaoui, Venkat Chandrasekaran"
    },
    {
        "title": "Recursive Deep Learning on 3D Point Clouds",
        "status": "Poster",
        "authors": "Richard Socher, Bharath Bath, Brody Huval, Christopher D Manning, Andrew Y Ng"
    },
    {
        "title": "Reducing statistical time-series problems to binary classification",
        "status": "Poster",
        "authors": "Daniil Ryabko, Jeremie Mary"
    },
    {
        "title": "Regularized Off-Policy TD-Learning",
        "status": "Spotlight",
        "authors": "Bo Liu, Sridhar Mahadevan, Ji Liu"
    },
    {
        "title": "Relax and Randomize : From Value to Algorithms",
        "status": "Oral",
        "authors": "Sasha Rakhlin, Ohad Shamir, Karthik Sridharan"
    },
    {
        "title": "Repulsive Mixtures",
        "status": "Poster",
        "authors": "FRANCESCA PETRALIA, Vinayak Rao, David B Dunson"
    },
    {
        "title": "Risk-Aversion in Multi-armed Bandits",
        "status": "Poster",
        "authors": "Amir Sani, Alessandro Lazaric, Remi Munos"
    },
    {
        "title": "Robustness and risk-sensitivity in Markov decision processes",
        "status": "Poster",
        "authors": "Takayuki Osogami"
    },
    {
        "title": "Scalable Inference of Overlapping Communities",
        "status": "Spotlight",
        "authors": "Prem Gopalan, David Mimno, Sean Gerrish, Michael Freedman, David Blei"
    },
    {
        "title": "Scalable imputation of genetic data with a discrete fragmentation-coagulation process",
        "status": "Poster",
        "authors": "Lloyd T Elliott, Yee Whye Teh"
    },
    {
        "title": "Scalable nonconvex inexact proximal splitting",
        "status": "Poster",
        "authors": "Suvrit Sra"
    },
    {
        "title": "Scaled Gradients on Grassmann Manifolds for Matrix Completion",
        "status": "Spotlight",
        "authors": "Thanh Ngo, Yousef Saad"
    },
    {
        "title": "Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization",
        "status": "Poster",
        "authors": "Stephen H Bach, Matthias Broecheler, Lise Getoor, Dianne P O'Leary"
    },
    {
        "title": "Searching for objects driven by context",
        "status": "Spotlight",
        "authors": "Bogdan Alexe, Nicolas Heess, Yee Whye Teh, Vittorio Ferrari"
    },
    {
        "title": "Selecting Diverse Features via Spectral Regularization",
        "status": "Spotlight",
        "authors": "Abhimanyu Das, Anirban Dasgupta, Ravi Kumar"
    },
    {
        "title": "Selective Labeling via Error Bound Minimization",
        "status": "Poster",
        "authors": "Quanquan Gu, Tong Zhang, Chris Ding, Jiawei Han"
    },
    {
        "title": "Semantic Kernel Forests from Multiple Taxonomies",
        "status": "Poster",
        "authors": "Sung Ju Hwang, Kristen Grauman, Fei Sha"
    },
    {
        "title": "Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning",
        "status": "Poster",
        "authors": "Jinfeng Yi, Rong Jin, Anil K Jain, Shaili Jain"
    },
    {
        "title": "Semi-Supervised Domain Adaptation with Non-Parametric Copulas",
        "status": "Spotlight",
        "authors": "David Lopez-Paz, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "Semi-supervised Eigenvectors for Locally-biased Learning",
        "status": "Poster",
        "authors": "Toke Jansen Hansen, Michael W Mahoney"
    },
    {
        "title": "Shifting Weights: Adapting Object Detectors from Image to Video",
        "status": "Poster",
        "authors": "Kevin Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller"
    },
    {
        "title": "Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression",
        "status": "Poster",
        "authors": "Piyush Rai, Abhishek Kumar, Hal Daum\u00e9 III"
    },
    {
        "title": "Sketch-Based Linear Value Function Approximation",
        "status": "Poster",
        "authors": "Marc Bellemare, Joel Veness, Michael Bowling"
    },
    {
        "title": "Slice Normalized Dynamic Markov Logic Networks",
        "status": "Poster",
        "authors": "Tivadar Papai, Henry Kautz, Daniel Stefankovic"
    },
    {
        "title": "Slice sampling normalized kernel-weighted completely random measure mixture models",
        "status": "Poster",
        "authors": "Nick Foti, Sinead Williamson"
    },
    {
        "title": "Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models",
        "status": "Poster",
        "authors": "Ke Jiang, Brian Kulis, Michael Jordan"
    },
    {
        "title": "Sparse Approximate Manifolds for Differential Geometric MCMC",
        "status": "Poster",
        "authors": "Ben Calderhead, Matyas A Sustik"
    },
    {
        "title": "Sparse Prediction with the $k$-Support Norm",
        "status": "Spotlight",
        "authors": "Andreas Argyriou, Rina Foygel, Nati Srebro"
    },
    {
        "title": "Spectral Learning of General Weighted Automata via Constrained Matrix Completion",
        "status": "Oral",
        "authors": "Borja Balle, Mehryar Mohri"
    },
    {
        "title": "Spectral learning of linear dynamics from generalised-linear observations with application to neural population data",
        "status": "Oral",
        "authors": "Lars Buesing, Jakob H Macke, Maneesh Sahani"
    },
    {
        "title": "Spiking and saturating dendrites differentially expand single neuron computation capacity.",
        "status": "Poster",
        "authors": "Romain Caz\u00e9, Mark Humphries, Boris S Gutkin"
    },
    {
        "title": "Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space",
        "status": "Spotlight",
        "authors": "Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-Yan Liu"
    },
    {
        "title": "Stochastic Gradient Descent with Only One Projection",
        "status": "Poster",
        "authors": "Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu"
    },
    {
        "title": "Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions",
        "status": "Poster",
        "authors": "Alekh Agarwal, Sahand N Negahban, Martin J Wainwright"
    },
    {
        "title": "Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making",
        "status": "Oral",
        "authors": "Pradeep Shenoy, Angela Yu"
    },
    {
        "title": "Structured learning of Gaussian graphical models",
        "status": "Poster",
        "authors": "Karthik Mohan, Michael J Chung, Seungyeop Han, Daniela Witten, Su-In Lee, Maryam Fazel"
    },
    {
        "title": "Submodular Bregman Divergences with Applications",
        "status": "Poster",
        "authors": "Rishabh K Iyer, Jeffrey A Bilmes"
    },
    {
        "title": "Super-Bit Locality-Sensitive Hashing",
        "status": "Poster",
        "authors": "Jianqiu Ji, Jianmin Li, shuicheng yan, Bo Zhang, Qi Tian"
    },
    {
        "title": "Supervised Learning with Similarity Functions",
        "status": "Poster",
        "authors": "Purushottam Kar, Prateek Jain"
    },
    {
        "title": "Symbolic Dynamic Programming for Continuous State and Observation POMDPs",
        "status": "Poster",
        "authors": "Zahra Zamani, Scott Sanner, Pascal Poupart, Kristian Kersting"
    },
    {
        "title": "Symmetric Correspondence Topic Models for Multilingual Text Analysis",
        "status": "Spotlight",
        "authors": "Kosuke Fukumasu, Koji Eguchi, Eric Xing"
    },
    {
        "title": "Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes",
        "status": "Poster",
        "authors": "Jake Bouvrie, Jean-Jacques Slotine"
    },
    {
        "title": "TCA: High Dimensional Principal Component Analysis for non-Gaussian Data",
        "status": "Oral",
        "authors": "Fang Han, Han Liu"
    },
    {
        "title": "Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs",
        "status": "Poster",
        "authors": "Shay Cohen, Michael Collins"
    },
    {
        "title": "The Bethe Partition Function of Log-supermodular Graphical Models",
        "status": "Poster",
        "authors": "Nicholas Ruozzi"
    },
    {
        "title": "The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes",
        "status": "Poster",
        "authors": "Simon Lyons, Amos Storkey, Simo Sarkka"
    },
    {
        "title": "The Lovasz $\\theta$ function, SVMs and finding large dense subgraphs",
        "status": "Poster",
        "authors": "Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt Dubhashi"
    },
    {
        "title": "The Perturbed Variation",
        "status": "Poster",
        "authors": "Maayan Harel, Shie Mannor"
    },
    {
        "title": "The Time-Marginalized Coalescent Prior for Hierarchical Clustering",
        "status": "Poster",
        "authors": "Levi Boyles, Max Welling"
    },
    {
        "title": "The representer theorem for Hilbert spaces: a necessary and sufficient condition",
        "status": "Poster",
        "authors": "Francesco Dinuzzo, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "The topographic unsupervised learning of natural sounds in the auditory cortex",
        "status": "Poster",
        "authors": "Hiroki Terashima, Masato Okada"
    },
    {
        "title": "The variational hierarchical EM algorithm for clustering hidden Markov models.",
        "status": "Poster",
        "authors": "Emanuele Coviello, Antoni Chan, Gert Lanckriet"
    },
    {
        "title": "Tight Bounds on Redundancy and Distinguishability of Label-Invariant Distributions",
        "status": "Poster",
        "authors": "Jayadev Acharya, Hirakendu Das, Alon Orlitsky"
    },
    {
        "title": "Timely Object Recognition",
        "status": "Poster",
        "authors": "Sergey K Karayev, Tobi Baumgartner, Mario Fritz, Trevor Darrell"
    },
    {
        "title": "Topic-Partitioned Multinetwork Embeddings",
        "status": "Poster",
        "authors": "Peter Krafft, Juston S Moore, Hanna Wallach, Bruce Desmarais"
    },
    {
        "title": "Topology Constraints in Graphical Models",
        "status": "Poster",
        "authors": "Marcelo Fiori, Pablo Muse, Guillermo Sapiro"
    },
    {
        "title": "Towards a learning-theoretic analysis of spike-timing dependent plasticity",
        "status": "Poster",
        "authors": "David Balduzzi, Michel Besserve"
    },
    {
        "title": "Tractable Objectives for Robust Policy Optimization",
        "status": "Poster",
        "authors": "Katherine Chen, Michael Bowling"
    },
    {
        "title": "Training sparse natural image models with a fast Gibbs sampler of an extended state space",
        "status": "Poster",
        "authors": "Lucas Theis, Jascha Sohl-Dickstein, Matthias Bethge"
    },
    {
        "title": "Trajectory-Based Short-Sighted Probabilistic Planning",
        "status": "Poster",
        "authors": "Felipe Trevizan, Manuela Veloso"
    },
    {
        "title": "Transferring Expectations in Model-based Reinforcement Learning",
        "status": "Poster",
        "authors": "Trung T Nguyen, Tomi Silander, Tze Yun Leong"
    },
    {
        "title": "Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes",
        "status": "Poster",
        "authors": "Michael Bryant, Erik Sudderth"
    },
    {
        "title": "Truncation-free Online Variational Inference for Bayesian Nonparametric Models",
        "status": "Poster",
        "authors": "Chong Wang, David Blei"
    },
    {
        "title": "Unsupervised Structure Discovery for Semantic Analysis of Audio",
        "status": "Poster",
        "authors": "Sourish Chaudhuri, Bhiksha Raj"
    },
    {
        "title": "Unsupervised template learning for fine-grained object recognition",
        "status": "Poster",
        "authors": "Shulin Yang, Liefeng Bo, Jue Wang, Linda Shapiro"
    },
    {
        "title": "Value Pursuit Iteration",
        "status": "Poster",
        "authors": "Amir-massoud Farahmand, Doina Precup"
    },
    {
        "title": "Variational Inference for Crowdsourcing",
        "status": "Poster",
        "authors": "Qiang Liu, Jian Peng, Alexander Ihler"
    },
    {
        "title": "Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity",
        "status": "Poster",
        "authors": "Angela Eigenstetter, Bjorn Ommer"
    },
    {
        "title": "Volume Regularization for Binary Classification",
        "status": "Spotlight",
        "authors": "Yacov Crammer, Tal Wagner"
    },
    {
        "title": "Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation",
        "status": "Poster",
        "authors": "Christian Mayr, Paul St\u00e4rke, Johannes Partzsch, Love Cederstroem, Rene Sch\u00fcffny, Yao Shuai, Nan Du, Heidemarie Schmidt"
    },
    {
        "title": "Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination",
        "status": "Poster",
        "authors": "Won Hwa Kim, Deepti Pachauri, Charles R Hatt, Moo. K Chung, Sterling C Johnson, Vikas Singh"
    },
    {
        "title": "Weighted Likelihood Policy Search with Model Selection",
        "status": "Poster",
        "authors": "Tsuyoshi Ueno, Yoshinobu Kawahara, Kohei Hayashi, Takashi Washio"
    },
    {
        "title": "Why MCA? Nonlinear Spike-and-slab Sparse Coding for Neurally Plausible Image Encoding",
        "status": "Poster",
        "authors": "Jacquelyn A Shelton, Philip Sterne, J\u00f6rg Bornschein, Abdul Saboor Sheikh, J\u00f6rg L\u00fccke"
    }
]