nips/nips2010.json

[
    {
        "title": "(RF)^2 -- Random Forest Random Field",
        "status": "Poster",
        "authors": "Nadia C Payet, Sinisa Todorovic"
    },
    {
        "title": "A Bayesian Approach to Concept Drift",
        "status": "Poster",
        "authors": "Stephen H Bach, Mark Maloof"
    },
    {
        "title": "A Bayesian Framework for Figure-Ground Interpretation",
        "status": "Poster",
        "authors": "Vicky Froyen, Jacob Feldman, Manish Singh"
    },
    {
        "title": "A Computational Decision Theory for Interactive Assistants",
        "status": "Poster",
        "authors": "Alan Fern, Prasad Tadepalli"
    },
    {
        "title": "A Dirty Model for Multi-task Learning",
        "status": "Oral",
        "authors": "Ali Jalali, Pradeep Ravikumar, Sujay Sanghavi, Chao Ruan"
    },
    {
        "title": "A Discriminative Latent Model of Image Region and Object Tag Correspondence",
        "status": "Poster",
        "authors": "Yang Wang, Greg Mori"
    },
    {
        "title": "A Family of Penalty Functions for Structured Sparsity",
        "status": "Spotlight",
        "authors": "Charles A Micchelli, Jean M Morales, Massimiliano Pontil"
    },
    {
        "title": "A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration",
        "status": "Poster",
        "authors": "Yi-Da Wu, Shi-Jie Lin, Hsin Chen"
    },
    {
        "title": "A New Probabilistic Model for Rank Aggregation",
        "status": "Poster",
        "authors": "Tao Qin, Xiubo Geng, Tie-Yan Liu"
    },
    {
        "title": "A Novel Kernel for Learning a Neuron Model from Spike Train Data",
        "status": "Poster",
        "authors": "Nicholas K Fisher, Arunava Banerjee"
    },
    {
        "title": "A POMDP Extension with Belief-dependent Rewards",
        "status": "Poster",
        "authors": "Mauricio A Araya, Olivier Buffet, Vincent Thomas, Fran\u00e7ois Charpillet"
    },
    {
        "title": "A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups",
        "status": "Poster",
        "authors": "Sofia Mosci, Silvia Villa, Alessandro Verri, Lorenzo Rosasco"
    },
    {
        "title": "A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction",
        "status": "Poster",
        "authors": "Tamir Hazan, Raquel Urtasun"
    },
    {
        "title": "A Reduction from Apprenticeship Learning to Classification",
        "status": "Poster",
        "authors": "Umar Syed, Robert E Schapire"
    },
    {
        "title": "A Theory of Multiclass Boosting",
        "status": "Oral",
        "authors": "Indraneel Mukherjee, Robert E Schapire"
    },
    {
        "title": "A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model",
        "status": "Poster",
        "authors": "Sebastian C Millner, Andreas Gr\u00fcbl, Karlheinz Meier, Johannes Schemmel, Marc-Olivier Schwartz"
    },
    {
        "title": "A biologically plausible network for the computation of orientation dominance",
        "status": "Spotlight",
        "authors": "Kritika Muralidharan, Nuno Vasconcelos"
    },
    {
        "title": "A novel family of non-parametric cumulative based divergences for point processes",
        "status": "Poster",
        "authors": "Sohan Seth, Il Memming Park, Austin J Brockmeier, Mulugeta Semework, John S Choi, Joseph T Francis, Jose C Principe"
    },
    {
        "title": "A rational decision making framework for inhibitory control",
        "status": "Oral",
        "authors": "Pradeep Shenoy, Rajesh PN Rao, Angela Yu"
    },
    {
        "title": "A unified model of short-range and long-range motion perception",
        "status": "Poster",
        "authors": "Shuang Wu, Xuming He, HongJing Lu, Alan Yuille"
    },
    {
        "title": "Accounting for network effects in neuronal responses using L1 regularized point process models",
        "status": "Poster",
        "authors": ""
    },
    {
        "title": "Active Estimation of F-Measures",
        "status": "Poster",
        "authors": "Christoph Sawade, Niels Landwehr, Tobias Scheffer"
    },
    {
        "title": "Active Instance Sampling via Matrix Partition",
        "status": "Poster",
        "authors": "Yuhong Guo"
    },
    {
        "title": "Active Learning Applied to Patient-Adaptive Heartbeat Classification",
        "status": "Poster",
        "authors": "Jenna Wiens, John Guttag"
    },
    {
        "title": "Active Learning by Querying Informative and Representative Examples",
        "status": "Poster",
        "authors": "Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou"
    },
    {
        "title": "Adaptive Multi-Task Lasso: with Application to eQTL Detection",
        "status": "Poster",
        "authors": "Seunghak Lee, Jun Zhu, Eric Xing"
    },
    {
        "title": "Agnostic Active Learning Without Constraints",
        "status": "Poster",
        "authors": "Alina Beygelzimer, Daniel Hsu, John Langford, Tong Zhang"
    },
    {
        "title": "An Alternative to Low-level-Sychrony-Based Methods for Speech Detection",
        "status": "Poster",
        "authors": "Paul L Ruvolo, javier r movellan"
    },
    {
        "title": "An Approximate Inference Approach to Temporal Optimization in Optimal Control",
        "status": "Poster",
        "authors": "Konrad C Rawlik, Marc Toussaint, Sethu Vijayakumar"
    },
    {
        "title": "An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA",
        "status": "Poster",
        "authors": "Matthias Hein, Thomas B\u00fchler"
    },
    {
        "title": "An analysis on negative curvature induced by singularity in multi-layer neural-network learning",
        "status": "Poster",
        "authors": "Eiji Mizutani, Stuart Dreyfus"
    },
    {
        "title": "Approximate Inference by Compilation to Arithmetic Circuits",
        "status": "Poster",
        "authors": "Daniel Lowd, Pedro Domingos"
    },
    {
        "title": "Approximate inference in continuous time Gaussian-Jump processes",
        "status": "Poster",
        "authors": "Manfred Opper, Andreas Ruttor, Guido Sanguinetti"
    },
    {
        "title": "Attractor Dynamics with Synaptic Depression",
        "status": "Spotlight",
        "authors": "C. C. Alan Fung, K. Y. Michael Wong, He Wang, Si Wu"
    },
    {
        "title": "Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting",
        "status": "Poster",
        "authors": "Chris Barber, Joe Bockhorst, Paul Roebber"
    },
    {
        "title": "Avoiding False Positive in Multi-Instance Learning",
        "status": "Poster",
        "authors": "Yanjun Han, Qing Tao, Jue Wang"
    },
    {
        "title": "Basis Construction from Power Series Expansions of Value Functions",
        "status": "Poster",
        "authors": "Sridhar Mahadevan, Bo Liu"
    },
    {
        "title": "Batch Bayesian Optimization via Simulation Matching",
        "status": "Poster",
        "authors": "Javad Azimi, Alan Fern, Xiaoli Fern"
    },
    {
        "title": "Bayesian Action-Graph Games",
        "status": "Poster",
        "authors": "Albert Xin Jiang, Kevin Leyton-Brown"
    },
    {
        "title": "Beyond Actions: Discriminative Models for Contextual Group Activities",
        "status": "Poster",
        "authors": "Tian Lan, Yang Wang, Weilong Yang, Greg Mori"
    },
    {
        "title": "Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference",
        "status": "Poster",
        "authors": "Aurelie Lozano, Vikas Sindhwani"
    },
    {
        "title": "Boosting Classifier Cascades",
        "status": "Poster",
        "authors": "Mohammad J Saberian, Nuno Vasconcelos"
    },
    {
        "title": "Bootstrapping Apprenticeship Learning",
        "status": "Poster",
        "authors": "Abdeslam Boularias, Brahim Chaib-draa"
    },
    {
        "title": "Brain covariance selection: better individual functional connectivity models using population prior",
        "status": "Poster",
        "authors": "Ga\u00ebl Varoquaux, Alexandre Gramfort, Jean-Baptiste Poline, Bertrand Thirion"
    },
    {
        "title": "CUR from a Sparse Optimization Viewpoint",
        "status": "Poster",
        "authors": "Jacob Bien, Ya Xu, Michael W Mahoney"
    },
    {
        "title": "Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations",
        "status": "Poster",
        "authors": "Danial Lashkari, Ramesh Sridharan, Polina Golland"
    },
    {
        "title": "Causal discovery in multiple models from different experiments",
        "status": "Poster",
        "authors": "Tom Claassen, Tom Heskes"
    },
    {
        "title": "Co-regularization Based Semi-supervised Domain Adaptation",
        "status": "Poster",
        "authors": "Hal Daum\u00e9 III, Abhishek Kumar, Avishek Saha"
    },
    {
        "title": "Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm",
        "status": "Poster",
        "authors": "Russ Salakhutdinov, Nati Srebro"
    },
    {
        "title": "Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning",
        "status": "Poster",
        "authors": "Matthias Broecheler, Lise Getoor"
    },
    {
        "title": "Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories",
        "status": "Poster",
        "authors": "George Konidaris, Scott R Kuindersma, Andrew G Barto, Roderic A Grupen"
    },
    {
        "title": "Construction of Dependent Dirichlet Processes based on Poisson Processes",
        "status": "Oral",
        "authors": "Dahua Lin, Eric Grimson, John Fisher III"
    },
    {
        "title": "Convex Multiple-Instance Learning by Estimating Likelihood Ratio",
        "status": "Poster",
        "authors": "Fuxin Li, Cristian Sminchisescu"
    },
    {
        "title": "Copula Bayesian Networks",
        "status": "Poster",
        "authors": "Gal Elidan"
    },
    {
        "title": "Copula Processes",
        "status": "Spotlight",
        "authors": "Andrew Wilson, Zoubin Ghahramani"
    },
    {
        "title": "Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings",
        "status": "Poster",
        "authors": "Hai-Son P Le, Ziv Bar-Joseph"
    },
    {
        "title": "Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication",
        "status": "Spotlight",
        "authors": "Guy D Isely, Christopher J Hillar, Fritz Sommer"
    },
    {
        "title": "Decoding Ipsilateral Finger Movements from ECoG Signals in Humans",
        "status": "Poster",
        "authors": "Yuzong Liu, Mohit Sharma, Charles M Gaona, Jonathan D Breshears, jarod Roland, zachary V Freudenburg, Kilian Q Weinberger, Eric C Leuthardt"
    },
    {
        "title": "Decomposing Isotonic Regression for Efficiently Solving Large Problems",
        "status": "Poster",
        "authors": "Ronny Luss, Saharon Rosset, Moni Shahar"
    },
    {
        "title": "Deep Coding Network",
        "status": "Poster",
        "authors": "Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu"
    },
    {
        "title": "Deterministic Single-Pass Algorithm for LDA",
        "status": "Poster",
        "authors": "Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa"
    },
    {
        "title": "Direct Loss Minimization for Structured Prediction",
        "status": "Poster",
        "authors": "David A McAllester, Tamir Hazan, Joseph Keshet"
    },
    {
        "title": "Discriminative Clustering by Regularized Information Maximization",
        "status": "Poster",
        "authors": "Ryan G Gomes, Andreas Krause, Pietro Perona"
    },
    {
        "title": "Distributed Dual Averaging In Networks",
        "status": "Spotlight",
        "authors": "John Duchi, Alekh Agarwal, Martin J Wainwright"
    },
    {
        "title": "Distributionally Robust Markov Decision Processes",
        "status": "Poster",
        "authors": "Huan Xu, Shie Mannor"
    },
    {
        "title": "Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform",
        "status": "Poster",
        "authors": "Siwei Lyu"
    },
    {
        "title": "Double Q-learning",
        "status": "Poster",
        "authors": "Hado P van Hasselt"
    },
    {
        "title": "Dynamic Infinite Relational Model for Time-varying Relational Data Analysis",
        "status": "Poster",
        "authors": "Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Josh Tenenbaum"
    },
    {
        "title": "Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks",
        "status": "Poster",
        "authors": "Kentaro Katahira, Kazuo Okanoya, Masato Okada"
    },
    {
        "title": "Efficient Minimization of Decomposable Submodular Functions",
        "status": "Spotlight",
        "authors": "Peter G Stobbe, Andreas Krause"
    },
    {
        "title": "Efficient Optimization for Discriminative Latent Class Models",
        "status": "Poster",
        "authors": "Armand Joulin, Francis Bach, Jean A Ponce"
    },
    {
        "title": "Efficient Relational Learning with Hidden Variable Detection",
        "status": "Poster",
        "authors": "Ni Lao, Jun Zhu, Liu Xinwang, Yandong Liu, William Cohen"
    },
    {
        "title": "Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions",
        "status": "Poster",
        "authors": "Achintya Kundu, Vikram Mukunda Rao Tankasali, Chiranjib Bhattacharyya, Aharon Ben-Tal"
    },
    {
        "title": "Efficient and Robust Feature Selection via Joint \u21132,1-Norms Minimization",
        "status": "Poster",
        "authors": "Feiping Nie, Heng Huang, Xiao Cai, Chris Ding"
    },
    {
        "title": "Empirical Bernstein Inequalities for U-Statistics",
        "status": "Poster",
        "authors": "Thomas Peel, Sandrine Anthoine, Liva Ralaivola"
    },
    {
        "title": "Empirical Risk Minimization with Approximations of Probabilistic Grammars",
        "status": "Poster",
        "authors": "Shay Cohen, Noah A Smith"
    },
    {
        "title": "Energy Disaggregation via Discriminative Sparse Coding",
        "status": "Poster",
        "authors": "J. Zico Kolter, Siddarth Batra, Andrew Y Ng"
    },
    {
        "title": "Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures",
        "status": "Spotlight",
        "authors": "Kamiya Motwani, Nagesh Adluru, Chris Hinrichs, Vikas Singh"
    },
    {
        "title": "Error Propagation for Approximate Policy and Value Iteration",
        "status": "Poster",
        "authors": "Amir-massoud Farahmand, Remi Munos, Csaba Szepesvari"
    },
    {
        "title": "Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces",
        "status": "Poster",
        "authors": "David C Lee, Abhinav Gupta, Martial Hebert, Takeo Kanade"
    },
    {
        "title": "Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs",
        "status": "Poster",
        "authors": "David Pal, Barnabas Poczos, Csaba Szepesvari"
    },
    {
        "title": "Evaluating neuronal codes for inference using Fisher information",
        "status": "Poster",
        "authors": "Ralf Haefner, Matthias Bethge"
    },
    {
        "title": "Evaluation of Rarity of Fingerprints in Forensics",
        "status": "Poster",
        "authors": "Chang Su, Sargur N Srihari"
    },
    {
        "title": "Evidence-Specific Structures for Rich Tractable CRFs",
        "status": "Poster",
        "authors": "Anton Chechetka, Carlos Guestrin"
    },
    {
        "title": "Exact inference and learning for cumulative distribution functions on loopy graphs",
        "status": "Spotlight",
        "authors": "Jim C Huang, Nebojsa Jojic, Christopher Meek"
    },
    {
        "title": "Exact learning curves for Gaussian process regression on large random graphs",
        "status": "Spotlight",
        "authors": "Matthew J Urry, Peter Sollich"
    },
    {
        "title": "Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach",
        "status": "Poster",
        "authors": "Alessandro Bergamo, Lorenzo Torresani"
    },
    {
        "title": "Extended Bayesian Information Criteria for Gaussian Graphical Models",
        "status": "Poster",
        "authors": "Rina Foygel, Mathias Drton"
    },
    {
        "title": "Extensions of Generalized Binary Search to Group Identification and Exponential Costs",
        "status": "Poster",
        "authors": "Gowtham Bellala, Suresh Bhavnani, Clayton Scott"
    },
    {
        "title": "Factorized Latent Spaces with Structured Sparsity",
        "status": "Poster",
        "authors": "Yangqing Jia, Mathieu Salzmann, Trevor Darrell"
    },
    {
        "title": "Fast Large-scale Mixture Modeling with Component-specific Data Partitions",
        "status": "Poster",
        "authors": "Bo Thiesson, Chong Wang"
    },
    {
        "title": "Fast detection of multiple change-points shared by many signals using group LARS",
        "status": "Poster",
        "authors": "Jean-Philippe Vert, Kevin Bleakley"
    },
    {
        "title": "Fast global convergence rates of gradient methods for high-dimensional statistical recovery",
        "status": "Oral",
        "authors": "Alekh Agarwal, Sahand N Negahban, Martin J Wainwright"
    },
    {
        "title": "Feature Construction for Inverse Reinforcement Learning",
        "status": "Poster",
        "authors": "Sergey Levine, Zoran Popovic, Vladlen Koltun"
    },
    {
        "title": "Feature Set Embedding for Incomplete Data",
        "status": "Spotlight",
        "authors": "David Grangier, Iain Melvin"
    },
    {
        "title": "Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike",
        "status": "Poster",
        "authors": "Stella X Yu"
    },
    {
        "title": "Fractionally Predictive Spiking Neurons",
        "status": "Poster",
        "authors": "Sander M Bohte, Jaldert Rombouts"
    },
    {
        "title": "Functional Geometry Alignment and Localization of Brain Areas",
        "status": "Spotlight",
        "authors": "Georg Langs, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland"
    },
    {
        "title": "Functional form of motion priors in human motion perception",
        "status": "Poster",
        "authors": "HongJing Lu, Tungyou Lin, Alan L Lee, Luminita Vese, Alan Yuille"
    },
    {
        "title": "Gated Softmax Classification",
        "status": "Poster",
        "authors": "Roland Memisevic, Christopher Zach, Geoffrey E Hinton, Marc Pollefeys"
    },
    {
        "title": "Gaussian Process Preference Elicitation",
        "status": "Poster",
        "authors": "Edwin Bonilla, Shengbo Guo, Scott Sanner"
    },
    {
        "title": "Gaussian sampling by local perturbations",
        "status": "Poster",
        "authors": "George Papandreou, Alan Yuille"
    },
    {
        "title": "Generalized roof duality and bisubmodular functions",
        "status": "Poster",
        "authors": "Vladimir Kolmogorov"
    },
    {
        "title": "Generating more realistic images using gated MRF's",
        "status": "Poster",
        "authors": "Marc'Aurelio Ranzato, Volodymyr Mnih, Geoffrey E Hinton"
    },
    {
        "title": "Generative Local Metric Learning for Nearest Neighbor Classification",
        "status": "Poster",
        "authors": "Yung-Kyun Noh, Byoung-Tak Zhang, Daniel Lee"
    },
    {
        "title": "Getting lost in space: Large sample analysis of the resistance distance",
        "status": "Spotlight",
        "authors": "Ulrike von Luxburg, Agnes Radl, Matthias Hein"
    },
    {
        "title": "Global Analytic Solution for Variational Bayesian Matrix Factorization",
        "status": "Spotlight",
        "authors": "Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka"
    },
    {
        "title": "Global seismic monitoring as probabilistic inference",
        "status": "Poster",
        "authors": "Nimar Arora, Stuart J Russell, Paul Kidwell, Erik Sudderth"
    },
    {
        "title": "Graph-Valued Regression",
        "status": "Spotlight",
        "authors": "Han Liu, Xi Chen, John Lafferty, Larry Wasserman"
    },
    {
        "title": "Group Sparse Coding with a Laplacian Scale Mixture Prior",
        "status": "Poster",
        "authors": "Pierre J Garrigues, Bruno Olshausen"
    },
    {
        "title": "Guaranteed Rank Minimization via Singular Value Projection",
        "status": "Spotlight",
        "authors": "Prateek Jain, Raghu Meka, Inderjit Dhillon"
    },
    {
        "title": "Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model",
        "status": "Poster",
        "authors": "David Reichert, Peggy Series, Amos Storkey"
    },
    {
        "title": "Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning",
        "status": "Poster",
        "authors": "Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman"
    },
    {
        "title": "Heavy-Tailed Process Priors for Selective Shrinkage",
        "status": "Poster",
        "authors": "Fabian L Wauthier, Michael Jordan"
    },
    {
        "title": "Humans Learn Using Manifolds, Reluctantly",
        "status": "Oral",
        "authors": "Bryan R Gibson, Jerry Zhu, Timothy T Rogers, Chuck Kalish, Joseph Harrison"
    },
    {
        "title": "Identifying Dendritic Processing",
        "status": "Spotlight",
        "authors": "Aurel A Lazar, Yevgeniy B Slutskiy"
    },
    {
        "title": "Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch",
        "status": "Oral",
        "authors": "Zeeshan Syed, John Guttag"
    },
    {
        "title": "Identifying graph-structured activation patterns in networks",
        "status": "Oral",
        "authors": "James L Sharpnack, Aarti Singh"
    },
    {
        "title": "Implicit Differentiation by Perturbation",
        "status": "Poster",
        "authors": "Justin Domke"
    },
    {
        "title": "Implicit encoding of prior probabilities in optimal neural populations",
        "status": "Poster",
        "authors": "Deep Ganguli, Eero Simoncelli"
    },
    {
        "title": "Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation",
        "status": "Poster",
        "authors": "Mathieu Salzmann, Raquel Urtasun"
    },
    {
        "title": "Improvements to the Sequence Memoizer",
        "status": "Poster",
        "authors": "Jan Gasthaus, Yee Whye Teh"
    },
    {
        "title": "Improving Human Judgments by Decontaminating Sequential Dependencies",
        "status": "Spotlight",
        "authors": "Michael Mozer, Harold Pashler, Matthew Wilder, Robert Lindsey, Matt Jones, Michael Jones"
    },
    {
        "title": "Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices",
        "status": "Poster",
        "authors": "Yi Sun, Faustino Gomez, J\u00fcrgen Schmidhuber"
    },
    {
        "title": "Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles",
        "status": "Poster",
        "authors": "Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Fan Deng, Tuo Zhang, Xi Jiang, Degang Zhang, Hanbo Chen, Xintao Hu, Steve Miller, tianming Liu"
    },
    {
        "title": "Inductive Regularized Learning of Kernel Functions",
        "status": "Spotlight",
        "authors": "Prateek Jain, Brian Kulis, Inderjit Dhillon"
    },
    {
        "title": "Inference and communication in the game of Password",
        "status": "Poster",
        "authors": "Yang Xu, Charles Kemp"
    },
    {
        "title": "Inference with Multivariate Heavy-Tails in Linear Models",
        "status": "Poster",
        "authors": "Danny Bickson, Carlos Guestrin"
    },
    {
        "title": "Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics",
        "status": "Poster",
        "authors": "Kanaka Rajan, L F Abbott, Haim Sompolinsky"
    },
    {
        "title": "Infinite Relational Modeling of Functional Connectivity in Resting State fMRI",
        "status": "Poster",
        "authors": "Morten M\u00f8rup, Kristoffer H Madsen, Anne-Marie Dogonowski, hartwig R Siebner, Lars K Hansen"
    },
    {
        "title": "Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks",
        "status": "Poster",
        "authors": "Dirk Husmeier, Frank Dondelinger, Sophie Lebre"
    },
    {
        "title": "Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains",
        "status": "Poster",
        "authors": "Martha White, Adam M White"
    },
    {
        "title": "Joint Analysis of Time-Evolving Binary Matrices and Associated Documents",
        "status": "Poster",
        "authors": "Eric X Wang, Dehong Liu, Jorge G Silva, David B Dunson, Lawrence Carin"
    },
    {
        "title": "Joint Cascade Optimization Using A Product Of Boosted Classifiers",
        "status": "Poster",
        "authors": "Leonidas Lefakis, Fran\u00e7ois Fleuret"
    },
    {
        "title": "Kernel Descriptors for Visual Recognition",
        "status": "Spotlight",
        "authors": "Liefeng Bo, Xiaofeng Ren, Dieter Fox"
    },
    {
        "title": "LSTD with Random Projections",
        "status": "Spotlight",
        "authors": "Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric-Ambrym Maillard, Remi Munos"
    },
    {
        "title": "Label Embedding Trees for Large Multi-Class Tasks",
        "status": "Poster",
        "authors": "Samy Bengio, Jason E Weston, David Grangier"
    },
    {
        "title": "Large Margin Learning of Upstream Scene Understanding Models",
        "status": "Poster",
        "authors": "Jun Zhu, Li-Jia Li, Li Fei-Fei, Eric Xing"
    },
    {
        "title": "Large Margin Multi-Task Metric Learning",
        "status": "Poster",
        "authors": "Shibin Parameswaran, Kilian Q Weinberger"
    },
    {
        "title": "Large-Scale Matrix Factorization with Missing Data under Additional Constraints",
        "status": "Poster",
        "authors": "Kaushik Mitra, Sameer Sheorey, Rama Chellappa"
    },
    {
        "title": "Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development",
        "status": "Poster",
        "authors": "Diane Hu, Laurens van der Maaten, Youngmin Cho, Lawrence Saul, Sorin Lerner"
    },
    {
        "title": "Layer-wise analysis of deep networks with Gaussian kernels",
        "status": "Poster",
        "authors": "Gr\u00e9goire Montavon, Mikio L Braun, Klaus-Robert M\u00fcller"
    },
    {
        "title": "Layered image motion with explicit occlusions, temporal consistency, and depth ordering",
        "status": "Spotlight",
        "authors": "Deqing Sun, Erik Sudderth, Michael J Black"
    },
    {
        "title": "Learning Bounds for Importance Weighting",
        "status": "Poster",
        "authors": "Corinna Cortes, Yishay Mansour, Mehryar Mohri"
    },
    {
        "title": "Learning Convolutional Feature Hierarchies for Visual Recognition",
        "status": "Spotlight",
        "authors": "koray kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michael Mathieu, Yann LeCun"
    },
    {
        "title": "Learning Efficient Markov Networks",
        "status": "Poster",
        "authors": "Vibhav Gogate, William A Webb, Pedro Domingos"
    },
    {
        "title": "Learning Kernels with Radiuses of Minimum Enclosing Balls",
        "status": "Poster",
        "authors": "Kun Gai, Guangyun Chen, Changshui Zhang"
    },
    {
        "title": "Learning Multiple Tasks using Manifold Regularization",
        "status": "Poster",
        "authors": "Arvind Agarwal, Hal Daum\u00e9 III, Samuel Gerber"
    },
    {
        "title": "Learning Multiple Tasks with a Sparse Matrix-Normal Penalty",
        "status": "Poster",
        "authors": "Yi Zhang, Jeff Schneider"
    },
    {
        "title": "Learning Networks of Stochastic Differential Equations",
        "status": "Poster",
        "authors": "Jos\u00e9 Bento, Morteza Ibrahimi, Andrea Montanari"
    },
    {
        "title": "Learning To Count Objects in Images",
        "status": "Spotlight",
        "authors": "Victor Lempitsky, Andrew Zisserman"
    },
    {
        "title": "Learning concept graphs from text with stick-breaking priors",
        "status": "Spotlight",
        "authors": "America Chambers, Padhraic Smyth, Mark Steyvers"
    },
    {
        "title": "Learning from Candidate Labeling Sets",
        "status": "Spotlight",
        "authors": "Jie Luo, Francesco Orabona"
    },
    {
        "title": "Learning from Logged Implicit Exploration Data",
        "status": "Spotlight",
        "authors": "Alex Strehl, Lihong Li, John Langford, Sham M Kakade"
    },
    {
        "title": "Learning invariant features using the Transformed Indian Buffet Process",
        "status": "Spotlight",
        "authors": "Joseph L Austerweil, Tom Griffiths"
    },
    {
        "title": "Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors",
        "status": "Poster",
        "authors": "Chiuso Alessandro c/o Dip. I Informazione, Gianluigi Pillonetto"
    },
    {
        "title": "Learning the context of a category",
        "status": "Poster",
        "authors": "Daniel Navarro"
    },
    {
        "title": "Learning to combine foveal glimpses with a third-order Boltzmann machine",
        "status": "Oral",
        "authors": "Hugo Larochelle, Geoffrey E Hinton"
    },
    {
        "title": "Learning to localise sounds with spiking neural networks",
        "status": "Spotlight",
        "authors": "Dan F Goodman, Romain Brette"
    },
    {
        "title": "Learning via Gaussian Herding",
        "status": "Poster",
        "authors": "Yacov Crammer, Daniel Lee"
    },
    {
        "title": "Lifted Inference Seen from the Other Side : The Tractable Features",
        "status": "Poster",
        "authors": "Abhay Jha, Vibhav Gogate, Alexandra Meliou, Dan Suciu"
    },
    {
        "title": "Linear Complementarity for Regularized Policy Evaluation and Improvement",
        "status": "Oral",
        "authors": "Jeff Johns, Christopher Painter-Wakefield, Ronald Parr"
    },
    {
        "title": "Linear readout from a neural population with partial correlation data",
        "status": "Poster",
        "authors": "Adrien Wohrer, Ranulfo Romo, Christian K Machens"
    },
    {
        "title": "Link Discovery using Graph Feature Tracking",
        "status": "Poster",
        "authors": "Emile Richard, Nicolas Baskiotis, Theos Evgeniou, Nicolas Vayatis"
    },
    {
        "title": "Lower Bounds on Rate of Convergence of Cutting Plane Methods",
        "status": "Poster",
        "authors": "Xinhua Zhang, Ankan Saha, S.V.N. Vishwanathan"
    },
    {
        "title": "MAP Estimation for Graphical Models by Likelihood Maximization",
        "status": "Poster",
        "authors": "Akshat Kumar, Shlomo Zilberstein"
    },
    {
        "title": "MAP estimation in Binary MRFs via Bipartite Multi-cuts",
        "status": "Oral",
        "authors": "Sashank Jakkam Reddi, Sunita Sarawagi, Sundar Vishwanathan"
    },
    {
        "title": "Minimum Average Cost Clustering",
        "status": "Spotlight",
        "authors": "Kiyohito Nagano, Yoshinobu Kawahara, Satoru Iwata"
    },
    {
        "title": "Mixture of time-warped trajectory models for movement decoding",
        "status": "Poster",
        "authors": "Elaine A Corbett, Eric J Perreault, Konrad Koerding"
    },
    {
        "title": "Monte-Carlo Planning in Large POMDPs",
        "status": "Poster",
        "authors": "David Silver, Joel Veness"
    },
    {
        "title": "More data means less inference: A pseudo-max approach to structured learning",
        "status": "Spotlight",
        "authors": "David Sontag, Ofer Meshi, Tommi Jaakkola, Amir Globerson"
    },
    {
        "title": "Moreau-Yosida Regularization for Grouped Tree Structure Learning",
        "status": "Poster",
        "authors": "Jun Liu, Jieping Ye"
    },
    {
        "title": "Movement extraction by detecting dynamics switches and repetitions",
        "status": "Poster",
        "authors": "Silvia Chiappa, Jan Peters"
    },
    {
        "title": "Multi-Stage Dantzig Selector",
        "status": "Poster",
        "authors": "Ji Liu, Peter Wonka, Jieping Ye"
    },
    {
        "title": "Multi-View Active Learning in the Non-Realizable Case",
        "status": "Poster",
        "authors": "Wei Wang, Zhi-Hua Zhou"
    },
    {
        "title": "Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition",
        "status": "Poster",
        "authors": "Serhat S Bucak, Rong Jin, Anil K Jain"
    },
    {
        "title": "Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers",
        "status": "Poster",
        "authors": "Manas A Pathak, Shantanu Rane, Bhiksha Raj"
    },
    {
        "title": "Multiple Kernel Learning and the SMO Algorithm",
        "status": "Spotlight",
        "authors": "S.V.N. Vishwanathan, Zhaonan sun, Nawanol T Ampornpunt, Manik Varma"
    },
    {
        "title": "Multitask Learning without Label Correspondences",
        "status": "Poster",
        "authors": "Novi Quadrianto, Alexander Smola, Tiberio Caetano, S.V.N. Vishwanathan, James Petterson"
    },
    {
        "title": "Multivariate Dyadic Regression Trees for Sparse Learning Problems",
        "status": "Poster",
        "authors": "Han Liu, Xi Chen"
    },
    {
        "title": "Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks",
        "status": "Poster",
        "authors": "Atsushi Miyamae, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi"
    },
    {
        "title": "Near-Optimal Bayesian Active Learning with Noisy Observations",
        "status": "Poster",
        "authors": "Daniel Golovin, Andreas Krause, Debajyoti Ray"
    },
    {
        "title": "Network Flow Algorithms for Structured Sparsity",
        "status": "Poster",
        "authors": "Julien Mairal, Rodolphe Jenatton, Guillaume R Obozinski, Francis Bach"
    },
    {
        "title": "New Adaptive Algorithms for Online Classification",
        "status": "Poster",
        "authors": "Francesco Orabona, Yacov Crammer"
    },
    {
        "title": "Non-Stochastic Bandit Slate Problems",
        "status": "Poster",
        "authors": "Satyen Kale, Lev Reyzin, Robert E Schapire"
    },
    {
        "title": "Nonparametric Bayesian Policy Priors for Reinforcement Learning",
        "status": "Poster",
        "authors": "Finale P Doshi-Velez, David Wingate, Nicholas Roy, Josh Tenenbaum"
    },
    {
        "title": "Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable",
        "status": "Poster",
        "authors": "Lauren A Hannah, Warren B Powell, David Blei"
    },
    {
        "title": "Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification",
        "status": "Poster",
        "authors": "Li-Jia Li, Hao Su, Eric Xing, Li Fei-Fei"
    },
    {
        "title": "Occlusion Detection and Motion Estimation with Convex Optimization",
        "status": "Poster",
        "authors": "Alper Ayvaci, Michalis Raptis, Stefano Soatto"
    },
    {
        "title": "On Herding and the Perceptron Cycling Theorem",
        "status": "Poster",
        "authors": "Andrew E Gelfand, Yutian Chen, Laurens van der Maaten, Max Welling"
    },
    {
        "title": "On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient",
        "status": "Spotlight",
        "authors": "Jie Tang, Pieter Abbeel"
    },
    {
        "title": "On the Convexity of Latent Social Network Inference",
        "status": "Oral",
        "authors": "Seth A Myers, Jure Leskovec"
    },
    {
        "title": "On the Theory of Learnining with Privileged Information",
        "status": "Poster",
        "authors": "Dmitry Pechyony, Vladimir Vapnik"
    },
    {
        "title": "Online Classification with Specificity Constraints",
        "status": "Spotlight",
        "authors": "Andrey Bernstein, Shie Mannor, Nahum Shimkin"
    },
    {
        "title": "Online Learning for Latent Dirichlet Allocation",
        "status": "Spotlight",
        "authors": "Matthew D. Hoffman, David Blei, Francis Bach"
    },
    {
        "title": "Online Learning in The Manifold of Low-Rank Matrices",
        "status": "Spotlight",
        "authors": "Uri Shalit, Daphna Weinshall, Gal Chechik"
    },
    {
        "title": "Online Learning: Random Averages, Combinatorial Parameters, and Learnability",
        "status": "Oral",
        "authors": "Sasha Rakhlin, Karthik Sridharan, Ambuj Tewari"
    },
    {
        "title": "Online Markov Decision Processes under Bandit Feedback",
        "status": "Spotlight",
        "authors": "Gergely Neu, Andr\u00e1s Gy\u00f6rgy, Andr\u00e1s Antos, Csaba Szepesvari"
    },
    {
        "title": "Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets",
        "status": "Spotlight",
        "authors": "Paolo Viappiani, Craig E Boutilier"
    },
    {
        "title": "Optimal Web-Scale Tiering as a Flow Problem",
        "status": "Poster",
        "authors": "Gilbert Leung, Novi Quadrianto, Alexander Smola, Kostas Tsioutsiouliklis"
    },
    {
        "title": "Optimal learning rates for Kernel Conjugate Gradient regression",
        "status": "Poster",
        "authors": "Gilles Blanchard, Nicole Kr\u00e4mer"
    },
    {
        "title": "Over-complete representations on recurrent neural networks can support persistent percepts",
        "status": "Oral",
        "authors": "Shaul Druckmann, Dmitri B Chklovskii"
    },
    {
        "title": "PAC-Bayesian Model Selection for Reinforcement Learning",
        "status": "Poster",
        "authors": "Mahdi Milani Fard, Joelle Pineau"
    },
    {
        "title": "Parallelized Stochastic Gradient Descent",
        "status": "Poster",
        "authors": "Martin A Zinkevich, Markus Weimer, Alexander Smola, Lihong Li"
    },
    {
        "title": "Parametric Bandits: The Generalized Linear Case",
        "status": "Poster",
        "authors": "Sarah Filippi, Olivier Capp\u00e9, Aur\u00e9lien Garivier, Csaba Szepesvari"
    },
    {
        "title": "Penalized Principal Component Regression on Graphs for Analysis of Subnetworks",
        "status": "Poster",
        "authors": "Ali Shojaie, George Michailidis"
    },
    {
        "title": "Permutation Complexity Bound on Out-Sample Error",
        "status": "Poster",
        "authors": "Malik Magdon-Ismail"
    },
    {
        "title": "Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine",
        "status": "Poster",
        "authors": "George Dahl, Marc'Aurelio Ranzato, Abdel-rahman Mohamed, Geoffrey E Hinton"
    },
    {
        "title": "Phoneme Recognition with Large Hierarchical Reservoirs",
        "status": "Oral",
        "authors": "Fabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen, Jean-Pierre Martens"
    },
    {
        "title": "Policy gradients in linearly-solvable MDPs",
        "status": "Poster",
        "authors": "Emanuel Todorov"
    },
    {
        "title": "Pose-Sensitive Embedding by Nonlinear NCA Regression",
        "status": "Poster",
        "authors": "Graham Taylor, Rob Fergus, George Williams, Ian Spiro, Christoph Bregler"
    },
    {
        "title": "Practical Large-Scale Optimization for Max-norm Regularization",
        "status": "Poster",
        "authors": "Jason D Lee, Benjamin Recht, Russ Salakhutdinov, Nati Srebro, Joel A Tropp"
    },
    {
        "title": "Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression",
        "status": "Poster",
        "authors": "Ling Huang, Jinzhu Jia, Bin Yu, Byung-Gon Chun, Petros Maniatis, Mayur Naik"
    },
    {
        "title": "Predictive State Temporal Difference Learning",
        "status": "Poster",
        "authors": "Byron Boots, Geoffrey Gordon"
    },
    {
        "title": "Predictive Subspace Learning for Multi-view Data: a Large Margin Approach",
        "status": "Poster",
        "authors": "Ning Chen, Jun Zhu, Eric Xing"
    },
    {
        "title": "Probabilistic Belief Revision with Structural Constraints",
        "status": "Poster",
        "authors": "Peter B Jones, Venkatesh Saligrama, Sanjoy K Mitter"
    },
    {
        "title": "Probabilistic Deterministic Infinite Automata",
        "status": "Spotlight",
        "authors": "David Pfau, Nicholas Bartlett, Frank Wood"
    },
    {
        "title": "Probabilistic Inference and Differential Privacy",
        "status": "Spotlight",
        "authors": "Oliver Williams, Frank McSherry"
    },
    {
        "title": "Probabilistic Multi-Task Feature Selection",
        "status": "Poster",
        "authors": "Yu Zhang, Dit-Yan Yeung, Qian Xu"
    },
    {
        "title": "Probabilistic latent variable models for distinguishing between cause and effect",
        "status": "Poster",
        "authors": "Joris M Mooij, Oliver Stegle, Dominik Janzing, Kun Zhang, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "Random Conic Pursuit for Semidefinite Programming",
        "status": "Poster",
        "authors": "Ariel Kleiner, ali rahimi, Michael Jordan"
    },
    {
        "title": "Random Projection Trees Revisited",
        "status": "Poster",
        "authors": "Aman Dhesi, Purushottam Kar"
    },
    {
        "title": "Random Projections for $k$-means Clustering",
        "status": "Poster",
        "authors": "Christos Boutsidis, Anastasios Zouzias, Petros Drineas"
    },
    {
        "title": "Random Walk Approach to Regret Minimization",
        "status": "Poster",
        "authors": "Hariharan Narayanan, Sasha Rakhlin"
    },
    {
        "title": "Rates of convergence for the cluster tree",
        "status": "Poster",
        "authors": "Kamalika Chaudhuri, Sanjoy Dasgupta"
    },
    {
        "title": "Regularized estimation of image statistics by Score Matching",
        "status": "Poster",
        "authors": "Diederik Kingma, Yann LeCun"
    },
    {
        "title": "Relaxed Clipping: A Global Training Method for Robust Regression and Classification",
        "status": "Poster",
        "authors": "Yao-Liang Yu, Min Yang, Linli Xu, Martha White, Dale Schuurmans"
    },
    {
        "title": "Repeated Games against Budgeted Adversaries",
        "status": "Poster",
        "authors": "Jacob D Abernethy, Manfred K. Warmuth"
    },
    {
        "title": "Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models",
        "status": "Poster",
        "authors": "Felipe Gerhard, Wulfram Gerstner"
    },
    {
        "title": "Reverse Multi-Label Learning",
        "status": "Poster",
        "authors": "James Petterson, Tiberio Caetano"
    },
    {
        "title": "Reward Design via Online Gradient Ascent",
        "status": "Poster",
        "authors": "Jonathan D Sorg, Satinder Singh, Richard L Lewis"
    },
    {
        "title": "Robust Clustering as Ensembles of Affinity Relations",
        "status": "Poster",
        "authors": "Hairong Liu, Longin Jan J Latecki, shuicheng yan"
    },
    {
        "title": "Robust PCA via Outlier Pursuit",
        "status": "Poster",
        "authors": "Huan Xu, Constantine Caramanis, Sujay Sanghavi"
    },
    {
        "title": "Sample Complexity of Testing the Manifold Hypothesis",
        "status": "Spotlight",
        "authors": "Hariharan Narayanan, Sanjoy K Mitter"
    },
    {
        "title": "Scrambled Objects for Least-Squares Regression",
        "status": "Poster",
        "authors": "Odalric-Ambrym Maillard, Remi Munos"
    },
    {
        "title": "Segmentation as Maximum-Weight Independent Set",
        "status": "Poster",
        "authors": "william brendel, Sinisa Todorovic"
    },
    {
        "title": "Self-Paced Learning for Latent Variable Models",
        "status": "Poster",
        "authors": "M. Pawan Kumar, Benjamin D Packer, Daphne Koller"
    },
    {
        "title": "Semi-Supervised Learning with Adversarially Missing Label Information",
        "status": "Oral",
        "authors": "Umar Syed, Ben Taskar"
    },
    {
        "title": "Shadow Dirichlet for Restricted Probability Modeling",
        "status": "Spotlight",
        "authors": "Bela A Frigyik, Maya R Gupta, Yihua Chen"
    },
    {
        "title": "Short-term memory in neuronal networks through dynamical compressed sensing",
        "status": "Poster",
        "authors": "Surya Ganguli, Haim Sompolinsky"
    },
    {
        "title": "Sidestepping Intractable Inference with Structured Ensemble Cascades",
        "status": "Poster",
        "authors": "David J Weiss, Benjamin J Sapp, Ben Taskar"
    },
    {
        "title": "Simultaneous Object Detection and Ranking with Weak Supervision",
        "status": "Poster",
        "authors": "Matthew B Blaschko, Andrea Vedaldi, Andrew Zisserman"
    },
    {
        "title": "Size Matters: Metric Visual Search Constraints from Monocular Metadata",
        "status": "Poster",
        "authors": "Mario J Fritz, Kate Saenko, Trevor Darrell"
    },
    {
        "title": "Slice sampling covariance hyperparameters of latent Gaussian models",
        "status": "Oral",
        "authors": "Iain Murray, Ryan Adams"
    },
    {
        "title": "Smoothness, Low Noise and Fast Rates",
        "status": "Poster",
        "authors": "Nati Srebro, Karthik Sridharan, Ambuj Tewari"
    },
    {
        "title": "Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models",
        "status": "Poster",
        "authors": "Anand Singh, Renaud Jolivet, Pierre J Magistretti, Bruno Weber"
    },
    {
        "title": "Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake",
        "status": "Poster",
        "authors": "Stefan Harmeling, Michael Hirsch, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "Sparse Coding for Learning Interpretable Spatio-Temporal Primitives",
        "status": "Poster",
        "authors": "Taehwan Kim, Greg Shakhnarovich, Raquel Urtasun"
    },
    {
        "title": "Sparse Instrumental Variables (SPIV) for Genome-Wide Studies",
        "status": "Poster",
        "authors": "Felix V Agakov, Paul McKeigue, Jon Krohn, Amos Storkey"
    },
    {
        "title": "Sparse Inverse Covariance Selection via Alternating Linearization Methods",
        "status": "Poster",
        "authors": "Katya Scheinberg, Shiqian Ma, Donald Goldfarb"
    },
    {
        "title": "Spatial and anatomical regularization of SVM for brain image analysis",
        "status": "Poster",
        "authors": "Remi Cuingnet, Marie Chupin, Habib Benali, Olivier Colliot"
    },
    {
        "title": "Spectral Regularization for Support Estimation",
        "status": "Poster",
        "authors": "Ernesto De Vito, Lorenzo Rosasco, Alessandro Toigo"
    },
    {
        "title": "Sphere Embedding: An Application to Part-of-Speech Induction",
        "status": "Poster",
        "authors": "Yariv Maron, Michael T Lamar, Elie L Bienenstock"
    },
    {
        "title": "Spike timing-dependent plasticity as dynamic filter",
        "status": "Poster",
        "authors": "Joscha T Schmiedt, Christian Albers, Klaus R Pawelzik"
    },
    {
        "title": "SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system",
        "status": "Spotlight",
        "authors": "Sylvain Chevallier, Helene Paugam-Moisy, Michele Sebag"
    },
    {
        "title": "Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models",
        "status": "Poster",
        "authors": "Han Liu, Kathryn Roeder, Larry Wasserman"
    },
    {
        "title": "Static Analysis of Binary Executables Using Structural SVMs",
        "status": "Poster",
        "authors": "Nikos Karampatziakis"
    },
    {
        "title": "Structural epitome: a way to summarize one\u2019s visual experience",
        "status": "Poster",
        "authors": "Nebojsa Jojic, Alessandro Perina, Vittorio Murino"
    },
    {
        "title": "Structured Determinantal Point Processes",
        "status": "Spotlight",
        "authors": "Alex Kulesza, Ben Taskar"
    },
    {
        "title": "Structured sparsity-inducing norms through submodular functions",
        "status": "Oral",
        "authors": "Francis Bach"
    },
    {
        "title": "Subgraph Detection Using Eigenvector L1 Norms",
        "status": "Poster",
        "authors": "Benjamin A Miller, Nadya T Bliss, Patrick J Wolfe"
    },
    {
        "title": "Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework",
        "status": "Poster",
        "authors": "Hongbo Zhou, Qiang Cheng"
    },
    {
        "title": "Supervised Clustering",
        "status": "Spotlight",
        "authors": "Pranjal Awasthi, Reza Zadeh"
    },
    {
        "title": "Switched Latent Force Models for Movement Segmentation",
        "status": "Spotlight",
        "authors": "Mauricio A Alvarez, Jan Peters, Bernhard Sch\u00f6lkopf, Neil D Lawrence"
    },
    {
        "title": "Switching state space model for simultaneously estimating state transitions and nonstationary firing rates",
        "status": "Poster",
        "authors": "Ken Takiyama, Masato Okada"
    },
    {
        "title": "Synergies in learning words and their referents",
        "status": "Spotlight",
        "authors": "Mark Johnson, Katherine Demuth, Michael C Frank, Bevan K Jones"
    },
    {
        "title": "The LASSO risk: asymptotic results and real world examples",
        "status": "Poster",
        "authors": "Mohsen Bayati, Jos\u00e9 Bento, Andrea Montanari"
    },
    {
        "title": "The Maximal Causes of Natural Scenes are Edge Filters",
        "status": "Poster",
        "authors": "Jose G Puertas, J\u00f6rg Bornschein, J\u00f6rg L\u00fccke"
    },
    {
        "title": "The Multidimensional Wisdom of Crowds",
        "status": "Oral",
        "authors": "Peter Welinder, Steve Branson, Serge Belongie, Pietro Perona"
    },
    {
        "title": "The Neural Costs of Optimal Control",
        "status": "Poster",
        "authors": "Samuel J Gershman, Robert C Wilson"
    },
    {
        "title": "Throttling Poisson Processes",
        "status": "Spotlight",
        "authors": "Uwe Dick, Peter Haider, Tobias Scheffer"
    },
    {
        "title": "Tight Sample Complexity of Large-Margin Learning",
        "status": "Poster",
        "authors": "Sivan Sabato, Nati Srebro, Naftali Tishby"
    },
    {
        "title": "Tiled convolutional neural networks",
        "status": "Poster",
        "authors": "Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Jin hao Chia, Pang Wei Koh, Andrew Y Ng"
    },
    {
        "title": "Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models",
        "status": "Poster",
        "authors": "Congcong Li, Adarsh P Kowdle, Ashutosh Saxena, Tsuhan Chen"
    },
    {
        "title": "Towards Property-Based Classification of Clustering Paradigms",
        "status": "Poster",
        "authors": "Margareta Ackerman, Shai Ben-David, David R Loker"
    },
    {
        "title": "Trading off Mistakes and Don't-Know Predictions",
        "status": "Spotlight",
        "authors": "Amin Sayedi, Avrim Blum, Morteza Zadimoghaddam"
    },
    {
        "title": "Transduction with Matrix Completion: Three Birds with One Stone",
        "status": "Poster",
        "authors": "Andrew B Goldberg, Jerry Zhu, Benjamin Recht, Junming Sui, Rob Nowak"
    },
    {
        "title": "Tree-Structured Stick Breaking for Hierarchical Data",
        "status": "Oral",
        "authors": "Ryan Adams, Zoubin Ghahramani, Michael Jordan"
    },
    {
        "title": "Two-Layer Generalization Analysis for Ranking Using Rademacher Average",
        "status": "Poster",
        "authors": "Wei Chen, Tie-Yan Liu, Zhi-Ming Ma"
    },
    {
        "title": "Universal Consistency of Multi-Class Support Vector Classi\ufb01cation",
        "status": "Poster",
        "authors": "Tobias Glasmachers"
    },
    {
        "title": "Universal Kernels on Non-Standard Input Spaces",
        "status": "Poster",
        "authors": "Andreas Christmann, Ingo Steinwart"
    },
    {
        "title": "Unsupervised Kernel Dimension Reduction",
        "status": "Poster",
        "authors": "Meihong Wang, Fei Sha, Michael Jordan"
    },
    {
        "title": "Using body-anchored priors for identifying actions in single images",
        "status": "Poster",
        "authors": "Leonid Karlinsky, Michael Dinerstein, Shimon Ullman"
    },
    {
        "title": "Variable margin losses for classifier design",
        "status": "Poster",
        "authors": "Hamed Masnadi-Shirazi, Nuno Vasconcelos"
    },
    {
        "title": "Variational Inference over Combinatorial Spaces",
        "status": "Spotlight",
        "authors": "Alexandre Bouchard-C\u00f4t\u00e9, Michael Jordan"
    },
    {
        "title": "Variational bounds for mixed-data factor analysis",
        "status": "Poster",
        "authors": "Mohammad Emtiyaz Khan, Benjamin Marlin, Guillaume Bouchard, Kevin Murphy"
    },
    {
        "title": "Why are some word orders more common than others? A uniform information density account",
        "status": "Spotlight",
        "authors": "Luke Maurits, Daniel Navarro, Amy F Perfors"
    },
    {
        "title": "Word Features for Latent Dirichlet Allocation",
        "status": "Poster",
        "authors": "James Petterson, Alexander Smola, Tiberio Caetano, Wray L Buntine, Shravan M Narayanamurthy"
    },
    {
        "title": "Worst-Case Linear Discriminant Analysis",
        "status": "Poster",
        "authors": "Yu Zhang, Dit-Yan Yeung"
    },
    {
        "title": "Worst-case bounds on the quality of max-product fixed-points",
        "status": "Spotlight",
        "authors": "Meritxell Vinyals, Jes\u00fas Cerquides, Alessandro Farinelli, Juan A Rodr\u00edguez-Aguilar"
    },
    {
        "title": "b-Bit Minwise Hashing for Estimating Three-Way Similarities",
        "status": "Spotlight",
        "authors": "Ping Li, Arnd C K\u00f6nig, Wenhao Gui"
    },
    {
        "title": "t-logistic regression",
        "status": "Poster",
        "authors": "Nan Ding, S.V.N. Vishwanathan"
    }
]