nips/nips2011.json

[
    {
        "title": "$\\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding",
        "status": "Poster",
        "authors": "Congcong Li, Ashutosh Saxena, Tsuhan Chen"
    },
    {
        "title": "A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm",
        "status": "Poster",
        "authors": "Julie Dethier, Paul Nuyujukian, Chris Eliasmith, Terrence C Stewart, Shauki A Elasaad, Krishna V Shenoy, Kwabena A Boahen"
    },
    {
        "title": "A Collaborative Mechanism for Crowdsourcing Prediction Problems",
        "status": "Oral",
        "authors": "Jacob D Abernethy, Rafael Frongillo"
    },
    {
        "title": "A Convergence Analysis of Log-Linear Training",
        "status": "Poster",
        "authors": "Simon Wiesler, Hermann Ney"
    },
    {
        "title": "A Denoising View of Matrix Completion",
        "status": "Poster",
        "authors": "Weiran Wang, Miguel A. Carreira-Perpinan, Zhengdong Lu"
    },
    {
        "title": "A Global Structural EM Algorithm for a Model of Cancer Progression",
        "status": "Poster",
        "authors": "Ali Tofigh, Erik Sj\u0326lund, Mattias H\u0326glund, Jens Lagergren"
    },
    {
        "title": "A Machine Learning Approach to Predict Chemical Reactions",
        "status": "Poster",
        "authors": "Matthew A Kayala, Pierre Baldi"
    },
    {
        "title": "A Maximum Margin Multi-Instance Learning Framework for Image Categorization",
        "status": "Poster",
        "authors": "Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris Ding"
    },
    {
        "title": "A Model for Temporal Dependencies in Event Streams",
        "status": "Poster",
        "authors": "Asela Gunawardana, Christopher Meek, Puyang Xu"
    },
    {
        "title": "A More Powerful Two-Sample Test in High Dimensions using Random Projection",
        "status": "Poster",
        "authors": "Miles Lopes, Laurent Jacob, Martin J Wainwright"
    },
    {
        "title": "A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions",
        "status": "Spotlight",
        "authors": "Qibin Zhao, Cesar F Caiafa, Danilo Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-bonhage, Andrzej S CICHOCKI"
    },
    {
        "title": "A Non-Parametric Approach to Dynamic Programming",
        "status": "Oral",
        "authors": "Oliver Kroemer, Jan Peters"
    },
    {
        "title": "A Reinforcement Learning Theory for Homeostatic Regulation",
        "status": "Poster",
        "authors": "Mehdi Keramati, Boris S Gutkin"
    },
    {
        "title": "A Two-Stage Weighting Framework for Multi-Source Domain Adaptation",
        "status": "Poster",
        "authors": "Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan, Jieping Ye"
    },
    {
        "title": "A blind sparse deconvolution method for neural spike identification",
        "status": "Spotlight",
        "authors": "Chaitanya Ekanadham, Daniel Tranchina, Eero Simoncelli"
    },
    {
        "title": "A concave regularization technique for sparse mixture models",
        "status": "Poster",
        "authors": "Martin O Larsson, Johan Ugander"
    },
    {
        "title": "A rational model of causal inference with continuous causes",
        "status": "Poster",
        "authors": "M Pacer, Tom Griffiths"
    },
    {
        "title": "A reinterpretation of the policy oscillation phenomenon in approximate policy iteration",
        "status": "Poster",
        "authors": "Paul Wagner"
    },
    {
        "title": "Accelerated Adaptive Markov Chain for Partition Function Computation",
        "status": "Spotlight",
        "authors": "Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman"
    },
    {
        "title": "Action-Gap Phenomenon in Reinforcement Learning",
        "status": "Spotlight",
        "authors": "Amir-massoud Farahmand"
    },
    {
        "title": "Active Classification based on Value of Classifier",
        "status": "Spotlight",
        "authors": "Tianshi Gao, Daphne Koller"
    },
    {
        "title": "Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity",
        "status": "Poster",
        "authors": "Nir Ailon"
    },
    {
        "title": "Active Learning with a Drifting Distribution",
        "status": "Poster",
        "authors": "Liu Yang"
    },
    {
        "title": "Active Ranking using Pairwise Comparisons",
        "status": "Poster",
        "authors": "Kevin G Jamieson, Rob Nowak"
    },
    {
        "title": "Active dendrites: adaptation to spike-based communication",
        "status": "Spotlight",
        "authors": "Balazs B Ujfalussy, Mate Lengyel"
    },
    {
        "title": "Active learning of neural response functions with Gaussian processes",
        "status": "Spotlight",
        "authors": "Mijung Park, Greg Horwitz, Jonathan W Pillow"
    },
    {
        "title": "Adaptive Hedge",
        "status": "Poster",
        "authors": "Tim van Erven, Peter Gr\u00fcnwald, Wouter M Koolen, Steven D Rooij"
    },
    {
        "title": "Additive Gaussian Processes",
        "status": "Poster",
        "authors": "David Duvenaud, Hannes Nickisch, Carl Edward Rasmussen"
    },
    {
        "title": "Advice Refinement in Knowledge-Based SVMs",
        "status": "Poster",
        "authors": "Gautam Kunapuli, Richard Maclin, Jude W Shavlik"
    },
    {
        "title": "Agnostic Selective Classification",
        "status": "Poster",
        "authors": "Yair Wiener, Ran El-Yaniv"
    },
    {
        "title": "Algorithms and hardness results for parallel large margin learning",
        "status": "Spotlight",
        "authors": "Rocco A Servedio, Phil Long"
    },
    {
        "title": "Algorithms for Hyper-Parameter Optimization",
        "status": "Poster",
        "authors": "James Bergstra, R\u00e9mi Bardenet, Yoshua Bengio, Bal\u00e1zs K\u00e9gl"
    },
    {
        "title": "An Application of Tree-Structured Expectation Propagation for Channel Decoding",
        "status": "Poster",
        "authors": "Pablo M Olmos, Luis Salamanca, Juan J. Murillo-Fuentes, Fernando Perez-Cruz"
    },
    {
        "title": "An Empirical Evaluation of Thompson Sampling",
        "status": "Poster",
        "authors": "Olivier Chapelle, Lihong Li"
    },
    {
        "title": "An Exact Algorithm for F-Measure Maximization",
        "status": "Poster",
        "authors": "Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hullermeier"
    },
    {
        "title": "An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments",
        "status": "Poster",
        "authors": "Michael Mozer, Benjamin Link, Harold Pashler"
    },
    {
        "title": "An ideal observer model for identifying the reference frame of objects",
        "status": "Poster",
        "authors": "Joseph L Austerweil, Abram Friesen, Tom Griffiths"
    },
    {
        "title": "Analysis and Improvement of Policy Gradient Estimation",
        "status": "Poster",
        "authors": "Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama"
    },
    {
        "title": "Analytical Results for the Error in Filtering of Gaussian Processes",
        "status": "Poster",
        "authors": "Alex K Susemihl, Ron Meir, Manfred Opper"
    },
    {
        "title": "Approximating Semidefinite Programs in Sublinear Time",
        "status": "Poster",
        "authors": "Dan Garber, Elad Hazan"
    },
    {
        "title": "Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints",
        "status": "Poster",
        "authors": "Omar Z Khan, Pascal Poupart, John Agosta"
    },
    {
        "title": "Autonomous Learning of Action Models for Planning",
        "status": "Poster",
        "authors": "Neville Mehta, Prasad Tadepalli, Alan Fern"
    },
    {
        "title": "Bayesian Bias Mitigation for Crowdsourcing",
        "status": "Poster",
        "authors": "Fabian L Wauthier, Michael Jordan"
    },
    {
        "title": "Bayesian Partitioning of Large-Scale Distance Data",
        "status": "Poster",
        "authors": "David Adametz, Volker Roth"
    },
    {
        "title": "Bayesian Spike-Triggered Covariance Analysis",
        "status": "Poster",
        "authors": "Il Memming Park, Jonathan W Pillow"
    },
    {
        "title": "Beating SGD: Learning SVMs in Sublinear Time",
        "status": "Poster",
        "authors": "Elad Hazan, Tomer Koren, Nati Srebro"
    },
    {
        "title": "Better Mini-Batch Algorithms via Accelerated Gradient Methods",
        "status": "Poster",
        "authors": "Andrew Cotter, Ohad Shamir, Nati Srebro, Karthik Sridharan"
    },
    {
        "title": "Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts",
        "status": "Poster",
        "authors": "Matthias Hein, Simon Setzer"
    },
    {
        "title": "Blending Autonomous Exploration and Apprenticeship Learning",
        "status": "Poster",
        "authors": "Thomas Walsh, Daniel K Hewlett, Clayton T Morrison"
    },
    {
        "title": "Boosting with Maximum Adaptive Sampling",
        "status": "Poster",
        "authors": "Charles Dubout, Fran\u00e7ois Fleuret"
    },
    {
        "title": "Budgeted Optimization with Concurrent Stochastic-Duration Experiments",
        "status": "Spotlight",
        "authors": "Javad Azimi, Alan Fern, Xiaoli Fern"
    },
    {
        "title": "Causal Discovery with Cyclic Additive Noise Models",
        "status": "Poster",
        "authors": "Joris M Mooij, Dominik Janzing, Tom Heskes, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "Clustered Multi-Task Learning Via Alternating Structure Optimization",
        "status": "Poster",
        "authors": "Jiayu Zhou, Jianhui Chen, Jieping Ye"
    },
    {
        "title": "Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery",
        "status": "Poster",
        "authors": "Scott Niekum, Andrew G Barto"
    },
    {
        "title": "Co-Training for Domain Adaptation",
        "status": "Poster",
        "authors": "Minmin Chen, Kilian Q Weinberger, John Blitzer"
    },
    {
        "title": "Co-regularized Multi-view Spectral Clustering",
        "status": "Poster",
        "authors": "Abhishek Kumar, Piyush Rai, Hal Daum\u00e9 III"
    },
    {
        "title": "Collective Graphical Models",
        "status": "Poster",
        "authors": "Daniel Sheldon, Thomas Dietterich"
    },
    {
        "title": "Committing Bandits",
        "status": "Poster",
        "authors": "Loc X Bui, Ramesh Johari, Shie Mannor"
    },
    {
        "title": "Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs",
        "status": "Poster",
        "authors": "Armen Allahverdyan, Aram Galstyan"
    },
    {
        "title": "Complexity of Inference in Latent Dirichlet Allocation",
        "status": "Spotlight",
        "authors": "David Sontag, Daniel Roy"
    },
    {
        "title": "Composite Multiclass Losses",
        "status": "Poster",
        "authors": "Elodie Vernet, Robert Williamson, Mark Reid"
    },
    {
        "title": "Confidence Sets for Network Structure",
        "status": "Poster",
        "authors": "David S Choi, Patrick J Wolfe, Edo M Airoldi"
    },
    {
        "title": "Contextual Gaussian Process Bandit Optimization",
        "status": "Poster",
        "authors": "Andreas Krause, Cheng Soon Ong"
    },
    {
        "title": "Continuous-Time Regression Models for Longitudinal Networks",
        "status": "Oral",
        "authors": "Duy Q Vu, Arthur Asuncion, David Hunter, Padhraic Smyth"
    },
    {
        "title": "Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization",
        "status": "Oral",
        "authors": "Mark Schmidt, Nicolas Le Roux, Francis Bach"
    },
    {
        "title": "Convergent Bounds on the Euclidean Distance",
        "status": "Poster",
        "authors": "Yoonho Hwang, Hee-Kap Ahn"
    },
    {
        "title": "Convergent Fitted Value Iteration with Linear Function Approximation",
        "status": "Poster",
        "authors": "Daniel Lizotte"
    },
    {
        "title": "Crowdclustering",
        "status": "Poster",
        "authors": "Ryan G Gomes, Peter Welinder, Andreas Krause, Pietro Perona"
    },
    {
        "title": "Data Skeletonization via Reeb Graphs",
        "status": "Poster",
        "authors": "Xiaoyin Ge, Issam I Safa, Mikhail Belkin, Yusu Wang"
    },
    {
        "title": "Decoding of Finger Flexion from Electrocorticographic Signals Using Switching Non-Parametric Dynamic Systems",
        "status": "Spotlight",
        "authors": "Zuoguan Wang, Gerwin Schalk, Qiang Ji"
    },
    {
        "title": "Demixed Principal Component Analysis",
        "status": "Poster",
        "authors": "Wieland Brendel, Ranulfo Romo, Christian Machens"
    },
    {
        "title": "Differentially Private M-Estimators",
        "status": "Poster",
        "authors": "Jing Lei"
    },
    {
        "title": "Dimensionality Reduction Using the Sparse Linear Model",
        "status": "Poster",
        "authors": "Ioannis A Gkioulekas, Todd Zickler"
    },
    {
        "title": "Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators",
        "status": "Spotlight",
        "authors": "Dominique C Perrault-Joncas, Marina Meila"
    },
    {
        "title": "Distributed Delayed Stochastic Optimization",
        "status": "Poster",
        "authors": "Alekh Agarwal, John Duchi"
    },
    {
        "title": "Divide-and-Conquer Matrix Factorization",
        "status": "Poster",
        "authors": "Lester W Mackey, Ameet S Talwalkar, Michael Jordan"
    },
    {
        "title": "Dynamical segmentation of single trials from population neural data",
        "status": "Poster",
        "authors": "Biljana Petreska, Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani"
    },
    {
        "title": "Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials",
        "status": "Oral",
        "authors": "Philipp Kr\u00e4henb\u00fchl, Vladlen Koltun"
    },
    {
        "title": "Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression",
        "status": "Poster",
        "authors": "Sham M Kakade, Adam Kalai, Varun Kanade, Ohad Shamir"
    },
    {
        "title": "Efficient Methods for Overlapping Group Lasso",
        "status": "Poster",
        "authors": "Lei Yuan, Jun Liu, Jieping Ye"
    },
    {
        "title": "Efficient Offline Communication Policies for Factored Multiagent POMDPs",
        "status": "Poster",
        "authors": "Jo\u00e3o V Messias, Matthijs Spaan, Pedro U Lima"
    },
    {
        "title": "Efficient Online Learning via Randomized Rounding",
        "status": "Oral",
        "authors": "Nicol\u00f2 Cesa-Bianchi, Ohad Shamir"
    },
    {
        "title": "Efficient anomaly detection using bipartite k-NN graphs",
        "status": "Poster",
        "authors": "Kumar Sricharan, Alfred Hero"
    },
    {
        "title": "Efficient coding with a population of Linear-Nonlinear neurons",
        "status": "Poster",
        "authors": "yan karklin, Eero Simoncelli"
    },
    {
        "title": "EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning",
        "status": "Poster",
        "authors": "Yuan Qi, Feng Yan"
    },
    {
        "title": "Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits",
        "status": "Poster",
        "authors": "Matthias S Keil"
    },
    {
        "title": "Empirical models of spiking in neural populations",
        "status": "Oral",
        "authors": "Jakob H Macke, Lars Buesing, John P Cunningham, Byron M Yu, Krishna V Shenoy, Maneesh Sahani"
    },
    {
        "title": "Energetically Optimal Action Potentials",
        "status": "Poster",
        "authors": "Martin B Stemmler, Biswa Sengupta, Simon Laughlin, Jeremy Niven"
    },
    {
        "title": "Environmental statistics and the trade-off between model-based and TD learning in humans",
        "status": "Poster",
        "authors": "Dylan A Simon, Nathaniel D Daw"
    },
    {
        "title": "Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron",
        "status": "Poster",
        "authors": "Ryota Kobayashi, Yasuhiro Tsubo, Petr Lansky, Shigeru Shinomoto"
    },
    {
        "title": "Evaluating computational models of preference learning",
        "status": "Spotlight",
        "authors": "Alan Jern, Christopher G Lucas, Charles Kemp"
    },
    {
        "title": "Exploiting spatial overlap to efficiently compute appearance distances between image windows",
        "status": "Poster",
        "authors": "Bogdan Alexe, Viviana Petrescu, Vittorio Ferrari"
    },
    {
        "title": "Expressive Power and Approximation Errors of Restricted Boltzmann Machines",
        "status": "Poster",
        "authors": "Guido F Montufar, Johannes Rauh, Nihat Ay"
    },
    {
        "title": "Extracting Speaker-Specific Information with a Regularized Siamese Deep Network",
        "status": "Poster",
        "authors": "Ke Chen, Ahmad Salman"
    },
    {
        "title": "Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines",
        "status": "Poster",
        "authors": "Matthew D Zeiler, Graham Taylor, Leonid Sigal, Iain Matthews, Rob Fergus"
    },
    {
        "title": "Fast and Accurate k-means For Large Datasets",
        "status": "Oral",
        "authors": "Michael Shindler, Alex Wong, Adam W Meyerson"
    },
    {
        "title": "Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition",
        "status": "Poster",
        "authors": "Jia Deng, Sanjeev Satheesh, Alexander C Berg, Li Fei-Fei"
    },
    {
        "title": "Fast approximate submodular minimization",
        "status": "Poster",
        "authors": "Stefanie Jegelka, Hui Lin, Jeffrey A Bilmes"
    },
    {
        "title": "Finite Time Analysis of Stratified Sampling for Monte Carlo",
        "status": "Poster",
        "authors": "Alexandra Carpentier, Remi Munos"
    },
    {
        "title": "From Bandits to Experts: On the Value of Side-Observations",
        "status": "Spotlight",
        "authors": "Shie Mannor, Ohad Shamir"
    },
    {
        "title": "From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models",
        "status": "Poster",
        "authors": "Skander Mensi, Richard Naud, Wulfram Gerstner"
    },
    {
        "title": "Gaussian Process Training with Input Noise",
        "status": "Poster",
        "authors": "Andrew McHutchon, Carl Edward Rasmussen"
    },
    {
        "title": "Gaussian process modulated renewal processes",
        "status": "Poster",
        "authors": "Vinayak Rao, Yee Whye Teh"
    },
    {
        "title": "Generalised Coupled Tensor Factorisation",
        "status": "Poster",
        "authors": "Kenan Y Y\u0131lmaz, Taylan Cemgil, Umut Simsekli"
    },
    {
        "title": "Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss",
        "status": "Oral",
        "authors": "David Mcallester, Joseph Keshet"
    },
    {
        "title": "Generalized Beta Mixtures of Gaussians",
        "status": "Poster",
        "authors": "Artin Armagan, David B Dunson, Merlise Clyde"
    },
    {
        "title": "Generalized Lasso based Approximation of Sparse Coding for Visual Recognition",
        "status": "Poster",
        "authors": "Nobuyuki Morioka, Shin'ichi Satoh"
    },
    {
        "title": "Generalizing from Several Related Classification Tasks to a New Unlabeled Sample",
        "status": "Poster",
        "authors": "Gilles Blanchard, Gyemin Lee, Clayton Scott"
    },
    {
        "title": "Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent",
        "status": "Poster",
        "authors": "Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan"
    },
    {
        "title": "Greedy Algorithms for Structurally Constrained High Dimensional Problems",
        "status": "Poster",
        "authors": "Ambuj Tewari, Pradeep Ravikumar, Inderjit Dhillon"
    },
    {
        "title": "Greedy Model Averaging",
        "status": "Poster",
        "authors": "Dong Dai, Tong Zhang"
    },
    {
        "title": "Group Anomaly Detection using Flexible Genre Models",
        "status": "Poster",
        "authors": "Liang Xiong, Barnabas Poczos, Jeff Schneider"
    },
    {
        "title": "Hashing Algorithms for Large-Scale Learning",
        "status": "Poster",
        "authors": "Ping Li, Anshumali Shrivastava, Joshua L Moore, Arnd C K\u00f6nig"
    },
    {
        "title": "Heavy-tailed Distances for Gradient Based Image Descriptors",
        "status": "Poster",
        "authors": "Yangqing Jia, Trevor Darrell"
    },
    {
        "title": "Hierarchical Matching Pursuit for Recognition: Architecture and Fast Algorithms",
        "status": "Poster",
        "authors": "Liefeng Bo, Xiaofeng Ren, Dieter Fox"
    },
    {
        "title": "Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation",
        "status": "Poster",
        "authors": "Nico Goernitz, Christian Widmer, Georg Zeller, Andre Kahles, Soeren Sonnenburg, Gunnar R\u00e4tsch"
    },
    {
        "title": "Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices",
        "status": "Poster",
        "authors": "XianXing Zhang, David B Dunson, Lawrence Carin"
    },
    {
        "title": "Hierarchically Supervised Latent Dirichlet Allocation",
        "status": "Poster",
        "authors": "Adler J Perotte, Frank Wood, Noemie Elhadad, Nicholas Bartlett"
    },
    {
        "title": "High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions",
        "status": "Oral",
        "authors": "Animashree Anandkumar, Vincent Tan, Alan S Willsky"
    },
    {
        "title": "High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity",
        "status": "Oral",
        "authors": "Po-Ling Loh, Martin J Wainwright"
    },
    {
        "title": "Higher-Order Correlation Clustering for Image Segmentation",
        "status": "Poster",
        "authors": "Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. D Yoo"
    },
    {
        "title": "History distribution matching method for predicting effectiveness of HIV combination therapies",
        "status": "Poster",
        "authors": "Jasmina Bogojeska"
    },
    {
        "title": "Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent",
        "status": "Poster",
        "authors": "Benjamin Recht, Christopher Re, Stephen Wright, Feng Niu"
    },
    {
        "title": "How Do Humans Teach: On Curriculum Learning and Teaching Dimension",
        "status": "Poster",
        "authors": "Faisal Khan, Jerry Zhu, Bilge Mutlu"
    },
    {
        "title": "How biased are maximum entropy models?",
        "status": "Poster",
        "authors": "Jakob H Macke, Iain Murray, Peter E Latham"
    },
    {
        "title": "ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning",
        "status": "Poster",
        "authors": "Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam, Andrew Y Ng"
    },
    {
        "title": "Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis",
        "status": "Spotlight",
        "authors": "Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman"
    },
    {
        "title": "Im2Text: Describing Images Using 1 Million Captioned Photographs",
        "status": "Spotlight",
        "authors": "Vicente Ordonez, Girish Kulkarni, Tamara L Berg"
    },
    {
        "title": "Image Parsing with Stochastic Scene Grammar",
        "status": "Poster",
        "authors": "Yibiao Zhao, Song-Chun Zhu"
    },
    {
        "title": "Improved Algorithms for Linear Stochastic Bandits",
        "status": "Spotlight",
        "authors": "Yasin Abbasi Yadkori, David Pal, Csaba Szepesvari"
    },
    {
        "title": "Improving Topic Coherence with Regularized Topic Models",
        "status": "Poster",
        "authors": "David Newman, Edwin Bonilla, Wray Buntine"
    },
    {
        "title": "Inductive reasoning about chimeric creatures",
        "status": "Spotlight",
        "authors": "Charles Kemp"
    },
    {
        "title": "Inference in continuous time changepoint point models",
        "status": "Poster",
        "authors": "Florian Stimberg, Manfred Opper, Guido Sanguinetti, Andreas Ruttor"
    },
    {
        "title": "Inferring Interaction Networks using the IBP applied to microRNA Target Prediction",
        "status": "Poster",
        "authors": "Hai-Son P Le, Ziv Bar-Joseph"
    },
    {
        "title": "Inferring spike-timing-dependent plasticity from spike train data",
        "status": "Poster",
        "authors": "Ian H Stevenson, Konrad Koerding"
    },
    {
        "title": "Infinite Latent SVM for Classification and Multi-task Learning",
        "status": "Poster",
        "authors": "Jun Zhu, Ning Chen, Eric Xing"
    },
    {
        "title": "Information Rates and Optimal Decoding in Large Neural Populations",
        "status": "Spotlight",
        "authors": "Kamiar Rahnama Rad, Liam Paninski"
    },
    {
        "title": "Inverting Grice's Maxims to Learn Rules from Natural Language Extractions",
        "status": "Poster",
        "authors": "M. Shahed Sorower, Thomas Dietterich, Janardhan Rao Doppa, Walker Orr, Prasad Tadepalli, Xiaoli Fern"
    },
    {
        "title": "Iterative Learning for Reliable Crowdsourcing Systems",
        "status": "Oral",
        "authors": "David R Karger, Sewoong Oh, Devavrat Shah"
    },
    {
        "title": "Joint 3D Estimation of Objects and Scene Layout",
        "status": "Poster",
        "authors": "Andreas Geiger, Christian Wojek, Raquel Urtasun"
    },
    {
        "title": "Kernel Bayes' Rule",
        "status": "Poster",
        "authors": "Kenji Fukumizu, Le Song, Arthur Gretton"
    },
    {
        "title": "Kernel Embeddings of Latent Tree Graphical Models",
        "status": "Poster",
        "authors": "Le Song, Ankur P Parikh, Eric Xing"
    },
    {
        "title": "Large-Scale Category Structure Aware Image Categorization",
        "status": "Poster",
        "authors": "Bin Zhao, Li Fei-Fei, Eric Xing"
    },
    {
        "title": "Large-Scale Sparse Principal Component Analysis with Application to Text Data",
        "status": "Poster",
        "authors": "Youwei Zhang, Laurent El Ghaoui"
    },
    {
        "title": "Learning Anchor Planes for Classification",
        "status": "Poster",
        "authors": "Ziming Zhang, Lubor Ladicky, Philip Torr, Amir Saffari"
    },
    {
        "title": "Learning Auto-regressive Models from Sequence and Non-sequence Data",
        "status": "Poster",
        "authors": "Tzu-Kuo Huang, Jeff Schneider"
    },
    {
        "title": "Learning Eigenvectors for Free",
        "status": "Poster",
        "authors": "Wouter M Koolen, Wojciech Kotlowski, Manfred K. Warmuth"
    },
    {
        "title": "Learning Higher-Order Graph Structure with Features by Structure Penalty",
        "status": "Poster",
        "authors": "Shilin Ding, Grace Wahba, Jerry Zhu"
    },
    {
        "title": "Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors",
        "status": "Poster",
        "authors": "Chun-Nam Yu, Russell Greiner, Hsiu-Chin Lin, Vickie Baracos"
    },
    {
        "title": "Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities",
        "status": "Poster",
        "authors": "Angela Yao, Juergen Gall, Luc V Gool, Raquel Urtasun"
    },
    {
        "title": "Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries",
        "status": "Oral",
        "authors": "Zhen James Xiang, Hao Xu, Peter J Ramadge"
    },
    {
        "title": "Learning a Distance Metric from a Network",
        "status": "Poster",
        "authors": "Blake Shaw, Bert Huang, Tony Jebara"
    },
    {
        "title": "Learning a Tree of Metrics with Disjoint Visual Features",
        "status": "Poster",
        "authors": "Sung Ju Hwang, Kristen Grauman, Fei Sha"
    },
    {
        "title": "Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint",
        "status": "Poster",
        "authors": "Bharath Sriperumbudur, Kenji Fukumizu, Gert Lanckriet"
    },
    {
        "title": "Learning large-margin halfspaces with more malicious noise",
        "status": "Poster",
        "authors": "Phil Long, Rocco A Servedio"
    },
    {
        "title": "Learning person-object interactions for action recognition in still images",
        "status": "Poster",
        "authors": "Vincent Delaitre, Josef Sivic, Ivan Laptev"
    },
    {
        "title": "Learning sparse inverse covariance matrices in the presence of confounders",
        "status": "Poster",
        "authors": "Oliver Stegle, Christoph Lippert, Joris M Mooij, Neil D Lawrence, Karsten Borgwardt"
    },
    {
        "title": "Learning to Agglomerate Superpixel Hierarchies",
        "status": "Poster",
        "authors": "Viren Jain, Srinivas C Turaga, K Briggman, Moritz N Helmstaedter, Winfried Denk, H. Sebastian Seung"
    },
    {
        "title": "Learning to Learn with Compound HD Models",
        "status": "Spotlight",
        "authors": "Russ Salakhutdinov, Josh Tenenbaum, Antonio Torralba"
    },
    {
        "title": "Learning to Search Efficiently in High Dimensions",
        "status": "Poster",
        "authors": "Zhen Li, Huazhong Ning, Liangliang Cao, Tong Zhang, Yihong Gong, Thomas S Huang"
    },
    {
        "title": "Learning unbelievable marginal probabilities",
        "status": "Poster",
        "authors": "Xaq S Pitkow, Yashar Ahmadian, Ken D Miller"
    },
    {
        "title": "Learning with the weighted trace-norm under arbitrary sampling distributions",
        "status": "Poster",
        "authors": "Rina Foygel, Russ Salakhutdinov, Ohad Shamir, Nati Srebro"
    },
    {
        "title": "Linear Submodular Bandits and their Application to Diversified Retrieval",
        "status": "Poster",
        "authors": "Yisong Yue, Carlos Guestrin"
    },
    {
        "title": "Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation",
        "status": "Poster",
        "authors": "Zhouchen Lin, Risheng Liu, Zhixun Su"
    },
    {
        "title": "Lower Bounds for Passive and Active Learning",
        "status": "Spotlight",
        "authors": "Maxim Raginsky, Sasha Rakhlin"
    },
    {
        "title": "MAP Inference for Bayesian Inverse Reinforcement Learning",
        "status": "Poster",
        "authors": "Jaedeug Choi, Kee-Eung Kim"
    },
    {
        "title": "Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds",
        "status": "Poster",
        "authors": "Nitesh Shroff, Pavan Turaga, Rama Chellappa"
    },
    {
        "title": "Matrix Completion for Image Classification",
        "status": "Poster",
        "authors": "Ricardo S Cabral, Fernando D De la Torre, Joao P Costeira, Alexandre Bernardino"
    },
    {
        "title": "Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning",
        "status": "Poster",
        "authors": "Xinggang Wang, Xiang Bai, Xingwei Yang, Wenyu Liu, Longin Jan J Latecki"
    },
    {
        "title": "Maximum Covariance Unfolding : Manifold Learning for Bimodal Data",
        "status": "Poster",
        "authors": "Vijay Mahadevan, Chi Wah Wong, Jose Costa Pereira, Tom Liu, Nuno Vasconcelos, Lawrence Saul"
    },
    {
        "title": "Maximum Margin Multi-Label Structured Prediction",
        "status": "Poster",
        "authors": "Christoph Lampert"
    },
    {
        "title": "Message-Passing for Approximate MAP Inference with Latent Variables",
        "status": "Poster",
        "authors": "Jiarong Jiang, Piyush Rai, Hal Daum\u00e9 III"
    },
    {
        "title": "Metric Learning with Multiple Kernels",
        "status": "Poster",
        "authors": "Jun Wang, Huyen T Do, Adam Woznica, Alexandros Kalousis"
    },
    {
        "title": "Minimax Localization of Structural Information in Large Noisy Matrices",
        "status": "Spotlight",
        "authors": "Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh"
    },
    {
        "title": "Modelling Genetic Variations using Fragmentation-Coagulation Processes",
        "status": "Oral",
        "authors": "Yee Whye Teh, Charles Blundell, Lloyd T Elliott"
    },
    {
        "title": "Monte Carlo Value Iteration with Macro-Actions",
        "status": "Poster",
        "authors": "Zhan Wei Lim, David Hsu, Wee Sun Lee"
    },
    {
        "title": "Multi-Bandit Best Arm Identification",
        "status": "Poster",
        "authors": "Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric, Sebastien Bubeck"
    },
    {
        "title": "Multi-View Learning of Word Embeddings via CCA",
        "status": "Poster",
        "authors": "Paramveer Dhillon, Dean P Foster, Lyle Ungar"
    },
    {
        "title": "Multi-armed bandits on implicit metric spaces",
        "status": "Poster",
        "authors": "Aleksandrs Slivkins"
    },
    {
        "title": "Multiclass Boosting: Theory and Algorithms",
        "status": "Poster",
        "authors": "Mohammad J Saberian, Nuno Vasconcelos"
    },
    {
        "title": "Multiple Instance Filtering",
        "status": "Poster",
        "authors": "Kamil A Wnuk, Stefano Soatto"
    },
    {
        "title": "Multiple Instance Learning on Structured Data",
        "status": "Poster",
        "authors": "Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D Lawrence"
    },
    {
        "title": "Nearest Neighbor based Greedy Coordinate Descent",
        "status": "Poster",
        "authors": "Inderjit Dhillon, Pradeep Ravikumar, Ambuj Tewari"
    },
    {
        "title": "Neural Reconstruction with Approximate Message Passing (NeuRAMP)",
        "status": "Poster",
        "authors": "Alyson Fletcher, Sundeep Rangan, Lav R Varshney, Aniruddha Bhargava"
    },
    {
        "title": "Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability",
        "status": "Spotlight",
        "authors": "David Reichert, Peggy Series, Amos Storkey"
    },
    {
        "title": "Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction",
        "status": "Poster",
        "authors": "Elad Hazan, Satyen Kale"
    },
    {
        "title": "Noise Thresholds for Spectral Clustering",
        "status": "Spotlight",
        "authors": "Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy, Aarti Singh"
    },
    {
        "title": "Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning",
        "status": "Spotlight",
        "authors": "Francis Bach, Eric Moulines"
    },
    {
        "title": "Non-conjugate Variational Message Passing for Multinomial and Binary Regression",
        "status": "Poster",
        "authors": "David A Knowles, Tom Minka"
    },
    {
        "title": "Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels",
        "status": "Poster",
        "authors": "Vikas Sindhwani, Aurelie Lozano"
    },
    {
        "title": "Nonlinear Inverse Reinforcement Learning with Gaussian Processes",
        "status": "Poster",
        "authors": "Sergey Levine, Zoran Popovic, Vladlen Koltun"
    },
    {
        "title": "Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation",
        "status": "Poster",
        "authors": "Onur Dikmen, C\u00e9dric F\u00e9votte"
    },
    {
        "title": "Nonstandard Interpretations of Probabilistic Programs for Efficient Inference",
        "status": "Poster",
        "authors": "David Wingate, Noah Goodman, Andreas Stuhlmueller, Jeffrey Siskind"
    },
    {
        "title": "Object Detection with Grammar Models",
        "status": "Spotlight",
        "authors": "Ross B Girshick, Pedro Felzenszwalb, David Mcallester"
    },
    {
        "title": "On Learning Discrete Graphical Models using Greedy Methods",
        "status": "Spotlight",
        "authors": "Ali Jalali, Christopher C Johnson, Pradeep Ravikumar"
    },
    {
        "title": "On Strategy Stitching in Large Extensive Form Multiplayer Games",
        "status": "Poster",
        "authors": "Richard G Gibson, Duane Szafron"
    },
    {
        "title": "On Tracking The Partition Function",
        "status": "Poster",
        "authors": "Guillaume Desjardins, Aaron Courville, Yoshua Bengio"
    },
    {
        "title": "On U-processes and clustering performance",
        "status": "Spotlight",
        "authors": "St\u00e9phan Cl\u00e9men\u00e7on"
    },
    {
        "title": "On the Analysis of Multi-Channel Neural Spike Data",
        "status": "Poster",
        "authors": "Bo Chen, David Carlson, Lawrence Carin"
    },
    {
        "title": "On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference",
        "status": "Oral",
        "authors": "Guy Van den Broeck"
    },
    {
        "title": "On the Universality of Online Mirror Descent",
        "status": "Poster",
        "authors": "Nati Srebro, Karthik Sridharan, Ambuj Tewari"
    },
    {
        "title": "On the accuracy of l1-filtering of signals with block-sparse structure",
        "status": "Spotlight",
        "authors": "Anatoli Juditsky, Fatma Kilinc Karzan, Arkadi S Nemirovski, Boris T Polyak"
    },
    {
        "title": "Online Learning: Stochastic, Constrained, and Smoothed Adversaries",
        "status": "Poster",
        "authors": "Sasha Rakhlin, Karthik Sridharan, Ambuj Tewari"
    },
    {
        "title": "Online Submodular Set Cover, Ranking, and Repeated Active Learning",
        "status": "Spotlight",
        "authors": "Andrew Guillory, Jeffrey A Bilmes"
    },
    {
        "title": "Optimal Reinforcement Learning for Gaussian Systems",
        "status": "Poster",
        "authors": "Philipp Hennig"
    },
    {
        "title": "Optimal learning rates for least squares SVMs using Gaussian kernels",
        "status": "Poster",
        "authors": "Mona Eberts, Ingo Steinwart"
    },
    {
        "title": "Optimistic Optimization of Deterministic Functions",
        "status": "Poster",
        "authors": "Remi Munos"
    },
    {
        "title": "Orthogonal Matching Pursuit with Replacement",
        "status": "Poster",
        "authors": "Prateek Jain, Ambuj Tewari, Inderjit Dhillon"
    },
    {
        "title": "PAC-Bayesian Analysis of Contextual Bandits",
        "status": "Poster",
        "authors": "Yevgeny Seldin, Peter Auer, Francois Laviolette, John Shawe-Taylor, Ronald Ortner"
    },
    {
        "title": "Penalty Decomposition Methods for Rank Minimization",
        "status": "Poster",
        "authors": "Yong Zhang, Zhaosong Lu"
    },
    {
        "title": "Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning",
        "status": "Poster",
        "authors": "Joni Pajarinen, Jaakko Peltonen"
    },
    {
        "title": "Phase transition in the family of p-resistances",
        "status": "Spotlight",
        "authors": "Morteza Alamgir, Ulrike von Luxburg"
    },
    {
        "title": "PiCoDes: Learning a Compact Code for Novel-Category Recognition",
        "status": "Poster",
        "authors": "Alessandro Bergamo, Lorenzo Torresani, Andrew Fitzgibbon"
    },
    {
        "title": "Policy Gradient Coagent Networks",
        "status": "Poster",
        "authors": "Philip Thomas"
    },
    {
        "title": "Portmanteau Vocabularies for Multi-Cue Image Representation",
        "status": "Poster",
        "authors": "Fahad S Khan, Joost van de Weijer, Andrew D Bagdanov, Maria Vanrell"
    },
    {
        "title": "Practical Variational Inference for Neural Networks",
        "status": "Spotlight",
        "authors": "Alex Graves"
    },
    {
        "title": "Predicting Dynamic Difficulty",
        "status": "Poster",
        "authors": "Olana Missura, Thomas Gaertner"
    },
    {
        "title": "Predicting response time and error rates in visual search",
        "status": "Poster",
        "authors": "Bo Chen, Vidhya Navalpakkam, Pietro Perona"
    },
    {
        "title": "Prediction strategies without loss",
        "status": "Poster",
        "authors": "Michael Kapralov, Rina Panigrahy"
    },
    {
        "title": "Priors over Recurrent Continuous Time Processes",
        "status": "Oral",
        "authors": "Ardavan Saeedi, Alexandre Bouchard-C\u00f4t\u00e9"
    },
    {
        "title": "Prismatic Algorithm for Discrete D.C. Programming Problem",
        "status": "Poster",
        "authors": "Yoshinobu Kawahara, Takashi Washio"
    },
    {
        "title": "Probabilistic Joint Image Segmentation and Labeling",
        "status": "Spotlight",
        "authors": "Adrian Ion, Joao Carreira, Cristian Sminchisescu"
    },
    {
        "title": "Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations",
        "status": "Poster",
        "authors": "Emin Orhan, Robert A Jacobs"
    },
    {
        "title": "Probabilistic amplitude and frequency demodulation",
        "status": "Spotlight",
        "authors": "Richard Turner, Maneesh Sahani"
    },
    {
        "title": "Projection onto A Nonnegative Max-Heap",
        "status": "Spotlight",
        "authors": "Jun Liu, Liang Sun, Jieping Ye"
    },
    {
        "title": "Pylon Model for Semantic Segmentation",
        "status": "Poster",
        "authors": "Victor Lempitsky, Andrea Vedaldi, Andrew Zisserman"
    },
    {
        "title": "Quasi-Newton Methods for Markov Chain Monte Carlo",
        "status": "Poster",
        "authors": "Yichuan Zhang, Charles Sutton"
    },
    {
        "title": "Query-Aware MCMC",
        "status": "Poster",
        "authors": "Michael Wick, Andrew McCallum"
    },
    {
        "title": "RTRMC: A Riemannian trust-region method for low-rank matrix completion",
        "status": "Poster",
        "authors": "Nicolas Boumal, Pierre-Antoine Absil"
    },
    {
        "title": "Randomized Algorithms for Comparison-based Search",
        "status": "Poster",
        "authors": "Dominique Tschopp, Suhas Diggavi, Payam Delgosha, Soheil Mohajer"
    },
    {
        "title": "Ranking annotators for crowdsourced labeling tasks",
        "status": "Poster",
        "authors": "Vikas C Raykar, Shipeng Yu"
    },
    {
        "title": "Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound",
        "status": "Spotlight",
        "authors": "Iasonas Kokkinos"
    },
    {
        "title": "Reconstructing Patterns of Information Diffusion from Incomplete Observations",
        "status": "Oral",
        "authors": "Flavio Chierichetti, Jon Kleinberg, David Liben-Nowell"
    },
    {
        "title": "Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance",
        "status": "Poster",
        "authors": "Peter Gehler, Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "Regularized Laplacian Estimation and Fast Eigenvector Approximation",
        "status": "Poster",
        "authors": "Patrick O Perry, Michael W Mahoney"
    },
    {
        "title": "Reinforcement Learning using Kernel-Based Stochastic Factorization",
        "status": "Poster",
        "authors": "Andre S Barreto, Doina Precup, Joelle Pineau"
    },
    {
        "title": "Relative Density-Ratio Estimation for Robust Distribution Comparison",
        "status": "Poster",
        "authors": "Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama"
    },
    {
        "title": "Robust Lasso with missing and grossly corrupted observations",
        "status": "Poster",
        "authors": "Nam H Nguyen, Nasser M Nasrabadi, Trac D Tran"
    },
    {
        "title": "Robust Multi-Class Gaussian Process Classification",
        "status": "Poster",
        "authors": "Daniel Hern\u00e1ndez-lobato, Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Pierre Dupont"
    },
    {
        "title": "Scalable Training of Mixture Models via Coresets",
        "status": "Oral",
        "authors": "Dan Feldman, Matthew Faulkner, Andreas Krause"
    },
    {
        "title": "See the Tree Through the Lines: The Shazoo Algorithm",
        "status": "Spotlight",
        "authors": "Fabio Vitale, Nicol\u00f2 Cesa-Bianchi, Claudio Gentile, Giovanni Zappella"
    },
    {
        "title": "Select and Sample:\u0097 A Model of Efficient Neural Inference and Learning",
        "status": "Poster",
        "authors": "Jacquelyn A Shelton, J\u00f6rg Bornschein, Abdul Saboor Sheikh, Pietro Berkes, J\u00f6rg L\u00fccke"
    },
    {
        "title": "Selecting Receptive Fields in Deep Networks",
        "status": "Poster",
        "authors": "Adam Coates, Andrew Y Ng"
    },
    {
        "title": "Selecting the State-Representation in Reinforcement Learning",
        "status": "Poster",
        "authors": "Odalric-Ambrym Maillard, Remi Munos, Daniil Ryabko"
    },
    {
        "title": "Selective Prediction of Financial Trends with Hidden Markov Models",
        "status": "Poster",
        "authors": "Dmitry Pidan, Ran El-Yaniv"
    },
    {
        "title": "Semantic Labeling of 3D Point Clouds for Indoor Scenes",
        "status": "Poster",
        "authors": "Hema Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena"
    },
    {
        "title": "Semi-supervised Regression via Parallel Field Regularization",
        "status": "Poster",
        "authors": "Binbin Lin, Chiyuan Zhang, Xiaofei He"
    },
    {
        "title": "Sequence learning with hidden units in spiking neural networks",
        "status": "Spotlight",
        "authors": "Johanni Brea, Walter Senn, Jean-Pascal Pfister"
    },
    {
        "title": "Shallow vs. Deep Sum-Product Networks",
        "status": "Poster",
        "authors": "Olivier Delalleau, Yoshua Bengio"
    },
    {
        "title": "Shaping Level Sets with Submodular Functions",
        "status": "Poster",
        "authors": "Francis Bach"
    },
    {
        "title": "ShareBoost: Efficient multiclass learning with feature sharing",
        "status": "Poster",
        "authors": "Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua"
    },
    {
        "title": "Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment",
        "status": "Poster",
        "authors": "Sebastian A Kurtek, Anuj Srivastava, Wei Wu"
    },
    {
        "title": "Similarity-based Learning via Data Driven Embeddings",
        "status": "Poster",
        "authors": "Purushottam Kar, Prateek Jain"
    },
    {
        "title": "Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC",
        "status": "Poster",
        "authors": "Trung T Pham, Tat-jun Chin, Jin Yu, David Suter"
    },
    {
        "title": "Solving Decision Problems with Limited Information",
        "status": "Spotlight",
        "authors": "Denis Maua, Cassio P de Campos"
    },
    {
        "title": "SpaRCS: Recovering low-rank and sparse matrices from compressive measurements",
        "status": "Poster",
        "authors": "Andrew E Waters, Aswin C Sankaranarayanan, Richard Baraniuk"
    },
    {
        "title": "Sparse Bayesian Multi-Task Learning",
        "status": "Poster",
        "authors": "Cedric Archambeau, Shengbo Guo, Onno Zoeter"
    },
    {
        "title": "Sparse Estimation with Structured Dictionaries",
        "status": "Spotlight",
        "authors": "David P Wipf"
    },
    {
        "title": "Sparse Features for PCA-Like Linear Regression",
        "status": "Poster",
        "authors": "Christos Boutsidis, Petros Drineas, Malik Magdon-Ismail"
    },
    {
        "title": "Sparse Filtering",
        "status": "Spotlight",
        "authors": "Jiquan Ngiam, Pang Wei Koh, Zhenghao Chen, Sonia A Bhaskar, Andrew Y Ng"
    },
    {
        "title": "Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation",
        "status": "Poster",
        "authors": "Cho-Jui Hsieh, Matyas A Sustik, Inderjit Dhillon, Pradeep Ravikumar"
    },
    {
        "title": "Sparse Manifold Clustering and Embedding",
        "status": "Poster",
        "authors": "Ehsan Elhamifar, Ren\u00e9 Vidal"
    },
    {
        "title": "Sparse Recovery with Brownian Sensing",
        "status": "Poster",
        "authors": "Alexandra Carpentier, Odalric-Ambrym Maillard, Remi Munos"
    },
    {
        "title": "Sparse recovery by thresholded non-negative least squares",
        "status": "Poster",
        "authors": "Martin Slawski, Matthias Hein"
    },
    {
        "title": "Spatial distance dependent Chinese Restaurant Process for image segmentation",
        "status": "Poster",
        "authors": "Soumya Ghosh, Andrei B Ungureanu, Erik Sudderth, David Blei"
    },
    {
        "title": "Spectral Methods for Learning Multivariate Latent Tree Structure",
        "status": "Poster",
        "authors": "Anima Anandkumar, Kamalika Chaudhuri, Daniel Hsu, Sham M Kakade, Le Song, Tong Zhang"
    },
    {
        "title": "Speedy Q-Learning",
        "status": "Poster",
        "authors": "Mohammad Gheshlaghi Azar, Remi Munos, Mohammad Ghavamzadeh, Hilbert J Kappen"
    },
    {
        "title": "Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning",
        "status": "Poster",
        "authors": "Michalis Titsias, Miguel Lazaro-Gredilla"
    },
    {
        "title": "Statistical Performance of Convex Tensor Decomposition",
        "status": "Poster",
        "authors": "Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima"
    },
    {
        "title": "Statistical Tests for Optimization Efficiency",
        "status": "Poster",
        "authors": "Levi Boyles, Anoop Korattikara, Deva Ramanan, Max Welling"
    },
    {
        "title": "Stochastic convex optimization with bandit feedback",
        "status": "Poster",
        "authors": "Alekh Agarwal, Dean P Foster, Daniel Hsu, Sham M Kakade, Sasha Rakhlin"
    },
    {
        "title": "Structural equations and divisive normalization for energy-dependent component analysis",
        "status": "Spotlight",
        "authors": "Jun-ichiro Hirayama, Aapo Hyvarinen"
    },
    {
        "title": "Structure Learning for Optimization",
        "status": "Poster",
        "authors": "Shulin Yang, Ali Rahimi"
    },
    {
        "title": "Structured Learning for Cell Tracking",
        "status": "Poster",
        "authors": "Xinghua Lou, Fred Hamprecht"
    },
    {
        "title": "Structured sparse coding via lateral inhibition",
        "status": "Poster",
        "authors": "arthur d szlam, Karol Gregor, Yann LeCun"
    },
    {
        "title": "Submodular Multi-Label Learning",
        "status": "Poster",
        "authors": "James Petterson, Tiberio Caetano"
    },
    {
        "title": "TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning",
        "status": "Poster",
        "authors": "George Konidaris, Scott Niekum, Philip Thomas"
    },
    {
        "title": "Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification",
        "status": "Poster",
        "authors": "Ichiro Takeuchi, Masashi Sugiyama"
    },
    {
        "title": "Testing a Bayesian Measure of Representativeness Using a Large Image Database",
        "status": "Poster",
        "authors": "Joshua T Abbott, Katherine Heller, Zoubin Ghahramani, Tom Griffiths"
    },
    {
        "title": "The Doubly Correlated Nonparametric Topic Model",
        "status": "Poster",
        "authors": "Dae Il Kim, Erik Sudderth"
    },
    {
        "title": "The Fast Convergence of Boosting",
        "status": "Poster",
        "authors": "Matus J Telgarsky"
    },
    {
        "title": "The Fixed Points of Off-Policy TD",
        "status": "Spotlight",
        "authors": "J. Zico Kolter"
    },
    {
        "title": "The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers",
        "status": "Poster",
        "authors": "Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella"
    },
    {
        "title": "The Kernel Beta Process",
        "status": "Spotlight",
        "authors": "Lu Ren, Yingjian Wang, David B Dunson, Lawrence Carin"
    },
    {
        "title": "The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning",
        "status": "Poster",
        "authors": "Marius Kloft, Gilles Blanchard"
    },
    {
        "title": "The Manifold Tangent Classifier",
        "status": "Oral",
        "authors": "Salah Rifai, Yann N Dauphin, Pascal Vincent, Yoshua Bengio, Xavier Muller"
    },
    {
        "title": "Thinning Measurement Models and Questionnaire Design",
        "status": "Poster",
        "authors": "Ricardo Silva"
    },
    {
        "title": "Trace Lasso: a trace norm regularization for correlated designs",
        "status": "Poster",
        "authors": "Edouard Grave, Guillaume R Obozinski, Francis Bach"
    },
    {
        "title": "Transfer Learning by Borrowing Examples",
        "status": "Poster",
        "authors": "Joseph Lim, Russ Salakhutdinov, Antonio Torralba"
    },
    {
        "title": "Transfer from Multiple MDPs",
        "status": "Poster",
        "authors": "Alessandro Lazaric, Marcello Restelli"
    },
    {
        "title": "Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories",
        "status": "Poster",
        "authors": "Cristina Savin, Peter Dayan, Mate Lengyel"
    },
    {
        "title": "Understanding the Intrinsic Memorability of Images",
        "status": "Poster",
        "authors": "Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva"
    },
    {
        "title": "Unfolding Recursive Autoencoders for Paraphrase Detection",
        "status": "Poster",
        "authors": "Richard Socher, Eric H Huang, Jeffrey Pennin, Andrew Y Ng, Christopher D Manning"
    },
    {
        "title": "Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning",
        "status": "Poster",
        "authors": "Taiji Suzuki"
    },
    {
        "title": "Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction",
        "status": "Poster",
        "authors": "Siwei Lyu"
    },
    {
        "title": "Uniqueness of Belief Propagation on Signed Graphs",
        "status": "Spotlight",
        "authors": "Yusuke Watanabe"
    },
    {
        "title": "Universal low-rank matrix recovery from Pauli measurements",
        "status": "Spotlight",
        "authors": "Yi-Kai Liu"
    },
    {
        "title": "Unsupervised learning models of primary cortical receptive fields and receptive field plasticity",
        "status": "Poster",
        "authors": "Andrew M Saxe, Maneesh Bhand, Ritvik Mudur, Bipin Suresh, Andrew Y Ng"
    },
    {
        "title": "Variance Penalizing AdaBoost",
        "status": "Poster",
        "authors": "Pannagadatta K Shivaswamy, Tony Jebara"
    },
    {
        "title": "Variance Reduction in Monte-Carlo Tree Search",
        "status": "Poster",
        "authors": "Joel Veness, Marc Lanctot, Michael Bowling"
    },
    {
        "title": "Variational Gaussian Process Dynamical Systems",
        "status": "Poster",
        "authors": "Andreas Damianou, Michalis Titsias, Neil D Lawrence"
    },
    {
        "title": "Variational Learning for Recurrent Spiking Networks",
        "status": "Poster",
        "authors": "Danilo J Rezende, Daan Wierstra, Wulfram Gerstner"
    },
    {
        "title": "Video Annotation and Tracking with Active Learning",
        "status": "Poster",
        "authors": "Carl Vondrick, Deva Ramanan"
    },
    {
        "title": "Why The Brain Separates Face Recognition From Object Recognition",
        "status": "Poster",
        "authors": "Joel Leibo, Jim Mutch, Tomaso Poggio"
    },
    {
        "title": "k-NN Regression Adapts to Local Intrinsic Dimension",
        "status": "Oral",
        "authors": "Samory Kpotufe"
    },
    {
        "title": "t-divergence Based Approximate Inference",
        "status": "Poster",
        "authors": "Nan Ding, S.V.N. Vishwanathan, Yuan Qi"
    }
]