[ { "title": "$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry", "status": "Poster", "authors": "Arnak Dalalyan, Renaud Keriven" }, { "title": "3D Object Recognition with Deep Belief Nets", "status": "Spotlight", "authors": "Vinod Nair, Geoffrey E Hinton" }, { "title": "A Bayesian Analysis of Dynamics in Free Recall", "status": "Poster", "authors": "Richard Socher, Samuel J Gershman, Adler Perotte, Per Sederberg, David Blei, Kenneth Norman" }, { "title": "A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation", "status": "Poster", "authors": "Lan Du, Lu Ren, David B Dunson, Lawrence Carin" }, { "title": "A Biologically Plausible Model for Rapid Natural Scene Identification", "status": "Poster", "authors": "Sennay Ghebreab, H.Scholte Steven, Victor Lamme, Arnold Smeulders" }, { "title": "A Data-Driven Approach to Modeling Choice", "status": "Spotlight", "authors": "Vivek Farias, Srikanth Jagabathula, Devavrat Shah" }, { "title": "A Fast, Consistent Kernel Two-Sample Test", "status": "Spotlight", "authors": "Arthur Gretton, Kenji Fukumizu, Zaid Harchaoui, Bharath Sriperumbudur" }, { "title": "A Game-Theoretic Approach to Hypergraph Clustering", "status": "Poster", "authors": "Samuel Rota Bul\u00f2, Marcello Pelillo" }, { "title": "A Gaussian Tree Approximation for Integer Least-Squares", "status": "Poster", "authors": "Jacob Goldberger, Amir Leshem" }, { "title": "A General Projection Property for Distribution Families", "status": "Poster", "authors": "Yao-Liang Yu, Yuxi Li, Dale Schuurmans, Csaba Szepesvari" }, { "title": "A Generalized Natural Actor-Critic Algorithm", "status": "Poster", "authors": "Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya" }, { "title": "A Neural Implementation of the Kalman Filter", "status": "Poster", "authors": "Robert C Wilson, Leif Finkel" }, { "title": "A Parameter-free Hedging Algorithm", "status": "Poster", "authors": "Kamalika Chaudhuri, Yoav Freund, Daniel Hsu" }, { "title": "A Rate Distortion Approach for Semi-Supervised Conditional Random Fields", "status": "Poster", "authors": "Yang Wang, Gholamreza Haffari, Shaojun Wang, Greg Mori" }, { "title": "A Smoothed Approximate Linear Program", "status": "Spotlight", "authors": "Vijay Desai, Vivek Farias, Ciamac C Moallemi" }, { "title": "A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds", "status": "Poster", "authors": "Paris Smaragdis, Madhusudana Shashanka, Bhiksha Raj" }, { "title": "A Stochastic approximation method for inference in probabilistic graphical models", "status": "Poster", "authors": "Peter Carbonetto, Matthew King, Firas Hamze" }, { "title": "A joint maximum-entropy model for binary neural population patterns and continuous signals", "status": "Spotlight", "authors": "Sebastian Gerwinn, Philipp Berens, Matthias Bethge" }, { "title": "A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers", "status": "Oral", "authors": "Sahand N Negahban, Pradeep Ravikumar, Martin J Wainwright, Bin Yu" }, { "title": "AUC optimization and the two-sample problem", "status": "Poster", "authors": "St\u00e9phan Cl\u00e9men\u00e7on, Nicolas Vayatis, Marine Depecker" }, { "title": "Abstraction and Relational learning", "status": "Spotlight", "authors": "Charles Kemp, Alan Jern" }, { "title": "Accelerated Gradient Methods for Stochastic Optimization and Online Learning", "status": "Poster", "authors": "Chonghai Hu, James Kwok, Weike Pan" }, { "title": "Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models", "status": "Oral", "authors": "Baback Moghaddam, Benjamin Marlin, Mohammad Emtiyaz Khan, Kevin Murphy" }, { "title": "Adapting to the Shifting Intent of Search Queries", "status": "Poster", "authors": "Umar Syed, Aleksandrs Slivkins, Nina Mishra" }, { "title": "Adaptive Design Optimization in Experiments with People", "status": "Poster", "authors": "Daniel Cavagnaro, Mark Pitt, Jay Myung" }, { "title": "Adaptive Regularization for Transductive Support Vector Machine", "status": "Spotlight", "authors": "Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R Lyu, Zhirong Yang" }, { "title": "Adaptive Regularization of Weight Vectors", "status": "Spotlight", "authors": "Yacov Crammer, Alex Kulesza, Mark Dredze" }, { "title": "An Additive Latent Feature Model for Transparent Object Recognition", "status": "Oral", "authors": "Mario J Fritz, Michael J Black, Gary R Bradski, Trevor Darrell" }, { "title": "An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism", "status": "Poster", "authors": "Aaron Courville, Douglas Eck, Yoshua Bengio" }, { "title": "An Integer Projected Fixed Point Method for Graph Matching and MAP Inference", "status": "Poster", "authors": "Marius Leordeanu, Martial Hebert, Rahul Sukthankar" }, { "title": "An LP View of the M-best MAP problem", "status": "Oral", "authors": "Menachem Fromer, Amir Globerson" }, { "title": "An Online Algorithm for Large Scale Image Similarity Learning", "status": "Poster", "authors": "Gal Chechik, Uri Shalit, Varun Sharma, Samy Bengio" }, { "title": "Analysis of SVM with Indefinite Kernels", "status": "Spotlight", "authors": "Yiming Ying, Colin I Campbell, Mark A Girolami" }, { "title": "Anomaly Detection with Score functions based on Nearest Neighbor Graphs", "status": "Spotlight", "authors": "Manqi Zhao, Venkatesh Saligrama" }, { "title": "Approximating MAP by Compensating for Structural Relaxations", "status": "Poster", "authors": "Arthur Choi, Adnan Darwiche" }, { "title": "Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing", "status": "Spotlight", "authors": "Sundeep Rangan, Alyson Fletcher, Vivek K Goyal" }, { "title": "Asymptotically Optimal Regularization in Smooth Parametric Models", "status": "Poster", "authors": "Percy Liang, Francis Bach, Guillaume Bouchard, Michael Jordan" }, { "title": "Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity", "status": "Poster", "authors": "Matthew B Blaschko, Jacquelyn A Shelton, Andreas Bartels" }, { "title": "Bayesian Belief Polarization", "status": "Poster", "authors": "Alan Jern, Kai-min K Chang, Charles Kemp" }, { "title": "Bayesian Nonparametric Models on Decomposable Graphs", "status": "Poster", "authors": "Francois Caron, Arnaud Doucet" }, { "title": "Bayesian Source Localization with the Multivariate Laplace Prior", "status": "Poster", "authors": "Marcel Van Gerven, Botond Cseke, Robert Oostenveld, Tom Heskes" }, { "title": "Bayesian Sparse Factor Models and DAGs Inference and Comparison", "status": "Poster", "authors": "Ricardo Henao, Ole Winther" }, { "title": "Bayesian estimation of orientation preference maps", "status": "Poster", "authors": "Jakob H Macke, Sebastian Gerwinn, Leonard White, Matthias Kaschube, Matthias Bethge" }, { "title": "Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships", "status": "Poster", "authors": "Tomasz Malisiewicz, Alexei A Efros" }, { "title": "Beyond Convexity: Online Submodular Minimization", "status": "Poster", "authors": "Elad Hazan, Satyen Kale" }, { "title": "Bilinear classifiers for visual recognition", "status": "Spotlight", "authors": "Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes" }, { "title": "Boosting with Spatial Regularization", "status": "Spotlight", "authors": "Zhen James Xiang, Yongxin Xi, Uri Hasson, Peter J Ramadge" }, { "title": "Bootstrapping from Game Tree Search", "status": "Oral", "authors": "Joel Veness, David Silver, William Uther, Alan Blair" }, { "title": "Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition", "status": "Poster", "authors": "Ashish Kapoor, Eric Horvitz" }, { "title": "Canonical Time Warping for Alignment of Human Behavior", "status": "Poster", "authors": "Feng Zhou, Fernando D De la Torre" }, { "title": "Clustering sequence sets for motif discovery", "status": "Poster", "authors": "Jong Kyoung Kim, Seungjin Choi" }, { "title": "Code-specific policy gradient rules for spiking neurons", "status": "Poster", "authors": "Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner" }, { "title": "Complexity of Decentralized Control: Special Cases", "status": "Poster", "authors": "Martin Allen, Shlomo Zilberstein" }, { "title": "Compositionality of optimal control laws", "status": "Poster", "authors": "Emanuel Todorov" }, { "title": "Compressed Least-Squares Regression", "status": "Poster", "authors": "Odalric-Ambrym Maillard, Remi Munos" }, { "title": "Conditional Neural Fields", "status": "Poster", "authors": "Jian Peng, Liefeng Bo, Jinbo Xu" }, { "title": "Conditional Random Fields with High-Order Features for Sequence Labeling", "status": "Poster", "authors": "Nan Ye, Wee Sun Lee, Hai Leong Chieu, Dan Wu" }, { "title": "Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection", "status": "Poster", "authors": "Roy Anati, Kostas Daniilidis" }, { "title": "Construction of Nonparametric Bayesian Models from Parametric Bayes Equations", "status": "Spotlight", "authors": "Peter Orbanz" }, { "title": "Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation", "status": "Spotlight", "authors": "Hamid R Maei, Csaba Szepesvari, Shalabh Batnaghar, Doina Precup, David Silver, Richard Sutton" }, { "title": "Convex Relaxation of Mixture Regression with Efficient Algorithms", "status": "Poster", "authors": "Novi Quadrianto, Tiberio Caetano, John Lim, Dale Schuurmans" }, { "title": "Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies", "status": "Poster", "authors": "Arno Onken, Steffen Gr\u00fcnew\u00e4lder, Klaus H Obermayer" }, { "title": "DUOL: A Double Updating Approach for Online Learning", "status": "Poster", "authors": "Peilin Zhao, Steven Chu-Hong Hoi, Rong Jin" }, { "title": "Data-driven calibration of linear estimators with minimal penalties", "status": "Poster", "authors": "Sylvain Arlot, Francis Bach" }, { "title": "Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process", "status": "Spotlight", "authors": "Chong Wang, David Blei" }, { "title": "Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning", "status": "Oral", "authors": "Anne Hsu, Tom Griffiths" }, { "title": "Directed Regression", "status": "Poster", "authors": "Yi-Hao Kao, Benjamin Van Roy, Xiang Yan" }, { "title": "Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora", "status": "Poster", "authors": "Shuang Yang, Hongyuan Zha, Bao-Gang Hu" }, { "title": "Discrete MDL Predicts in Total Variation", "status": "Poster", "authors": "Marcus Hutter" }, { "title": "Discriminative Network Models of Schizophrenia", "status": "Oral", "authors": "Guillermo Cecchi, Irina Rish, Benjamin Thyreau, Bertrand Thirion, Marion Plaze, Jean-Luc Martinot, Marie Laure Paillere-Martinot, Jean-Baptiste Poline" }, { "title": "Distribution Matching for Transduction", "status": "Poster", "authors": "Novi Quadrianto, James Petterson, Alexander Smola" }, { "title": "Distribution-Calibrated Hierarchical Classi\ufb01cation", "status": "Poster", "authors": "Ofer Dekel" }, { "title": "Dual Averaging Method for Regularized Stochastic Learning and Online Optimization", "status": "Poster", "authors": "Lin Xiao" }, { "title": "Efficient Bregman Range Search", "status": "Spotlight", "authors": "Lawrence Cayton" }, { "title": "Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models", "status": "Spotlight", "authors": "Gideon S Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, Dan Walker" }, { "title": "Efficient Learning using Forward-Backward Splitting", "status": "Oral", "authors": "John Duchi, Yoram Singer" }, { "title": "Efficient Match Kernel between Sets of Features for Visual Recognition", "status": "Spotlight", "authors": "Liefeng Bo, Cristian Sminchisescu" }, { "title": "Efficient Moments-based Permutation Tests", "status": "Poster", "authors": "Chunxiao Zhou, Huixia Judy Wang, Yongmei Michelle Wang" }, { "title": "Efficient Recovery of Jointly Sparse Vectors", "status": "Poster", "authors": "Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye" }, { "title": "Efficient and Accurate Lp-Norm Multiple Kernel Learning", "status": "Poster", "authors": "Marius Kloft, Ulf Brefeld, Soeren Sonnenburg, Pavel Laskov, Klaus-Robert M\u00fcller, Alexander Zien" }, { "title": "Ensemble Nystrom Method", "status": "Poster", "authors": "Sanjiv Kumar, Mehryar Mohri, Ameet S Talwalkar" }, { "title": "Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification", "status": "Spotlight", "authors": "Amarnag Subramanya, Jeffrey A Bilmes" }, { "title": "Estimating image bases for visual image reconstruction from human brain activity", "status": "Poster", "authors": "Yusuke Fujiwara, Yoichi Miyawaki, Yukiyasu Kamitani" }, { "title": "Evaluating multi-class learning strategies in a generative hierarchical framework for object detection", "status": "Poster", "authors": "Sanja Fidler, Marko Boben, Ales Leonardis" }, { "title": "Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model", "status": "Oral", "authors": "Edward Vul, Michael C Frank, George Alvarez, Josh Tenenbaum" }, { "title": "Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis", "status": "Poster", "authors": "Barry W Chai, Dirk B Walther, Diane M Beck, Fei-Fei Li" }, { "title": "Exponential Family Graph Matching and Ranking", "status": "Poster", "authors": "James Petterson, Tiberio Caetano, Julian J McAuley, Jin Yu" }, { "title": "Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out", "status": "Poster", "authors": "yicong meng, Bertram E Shi" }, { "title": "FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs", "status": "Poster", "authors": "Andrew McCallum, Karl Schultz, Sameer Singh" }, { "title": "Factor Modeling for Advertisement Targeting", "status": "Poster", "authors": "Ye Chen, Michael Kapralov, Dmitry Pavlov, John Canny" }, { "title": "Fast Graph Laplacian Regularized Kernel Learning via Semidefinite\u2013Quadratic\u2013Linear Programming", "status": "Spotlight", "authors": "Xiao-Ming Wu, Anthony Man-Cho So, Zhenguo Li, Shuo-Yen Robert Li" }, { "title": "Fast Image Deconvolution using Hyper-Laplacian Priors", "status": "Spotlight", "authors": "Dilip Krishnan, Rob Fergus" }, { "title": "Fast Learning from Non-i.i.d. Observations", "status": "Spotlight", "authors": "Ingo Steinwart, Andreas Christmann" }, { "title": "Fast subtree kernels on graphs", "status": "Oral", "authors": "Nino Shervashidze, Karsten Borgwardt" }, { "title": "Fast, smooth and adaptive regression in metric spaces", "status": "Poster", "authors": "Samory Kpotufe" }, { "title": "Filtering Abstract Senses From Image Search Results", "status": "Poster", "authors": "Kate Saenko, Trevor Darrell" }, { "title": "Free energy score space", "status": "Poster", "authors": "Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic" }, { "title": "From PAC-Bayes Bounds to KL Regularization", "status": "Poster", "authors": "Pascal Germain, Alexandre Lacasse, Francois Laviolette, Mario Marchand, Sara Shanian" }, { "title": "Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning", "status": "Oral", "authors": "Robert Legenstein, Steven Chase, Andrew B Schwartz, Wolfgang Maass" }, { "title": "Gaussian process regression with Student-t likelihood", "status": "Poster", "authors": "Jarno Vanhatalo, Pasi Jyl\u00e4nki, Aki Vehtari" }, { "title": "Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes", "status": "Poster", "authors": "Kian Ming A Chai" }, { "title": "Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation", "status": "Spotlight", "authors": "Yusuke Watanabe, Kenji Fukumizu" }, { "title": "Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models", "status": "Poster", "authors": "Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han" }, { "title": "Group Sparse Coding", "status": "Poster", "authors": "Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow" }, { "title": "Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction", "status": "Poster", "authors": "Aurelie Lozano, Grzegorz M Swirszcz, Naoki Abe" }, { "title": "Heavy-Tailed Symmetric Stochastic Neighbor Embedding", "status": "Spotlight", "authors": "Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja" }, { "title": "Help or Hinder: Bayesian Models of Social Goal Inference", "status": "Poster", "authors": "Tomer D Ullman, Chris L Baker, Owen Macindoe, Owain Evans, Noah Goodman, Josh Tenenbaum" }, { "title": "Heterogeneous multitask learning with joint sparsity constraints", "status": "Poster", "authors": "Xiaolin Yang, Seyoung Kim, Eric Xing" }, { "title": "Hierarchical Learning of Dimensional Biases in Human Categorization", "status": "Spotlight", "authors": "Katherine Heller, Adam Sanborn, Nick Chater" }, { "title": "Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions", "status": "Poster", "authors": "Bangpeng Yao, Dirk B Walther, Diane M Beck, Fei-Fei Li" }, { "title": "Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions", "status": "Poster", "authors": "Fabian H Sinz, Eero Simoncelli, Matthias Bethge" }, { "title": "Human Rademacher Complexity", "status": "Poster", "authors": "Jerry Zhu, Timothy T Rogers, Bryan R Gibson" }, { "title": "Improving Existing Fault Recovery Policies", "status": "Poster", "authors": "Guy Shani, Christopher Meek" }, { "title": "Indian Buffet Processes with Power-law Behavior", "status": "Spotlight", "authors": "Yee Whye Teh, Dilan Gorur" }, { "title": "Individuation, Identification and Object Discovery", "status": "Poster", "authors": "Charles Kemp, Alan Jern, Fei Xu" }, { "title": "Information-theoretic lower bounds on the oracle complexity of convex optimization", "status": "Spotlight", "authors": "Alekh Agarwal, Peter Bartlett, Pradeep Ravikumar, Martin J Wainwright" }, { "title": "Inter-domain Gaussian Processes for Sparse Inference using Inducing Features", "status": "Poster", "authors": "Miguel Lazaro-Gredilla, Anibal R Figueiras-Vidal" }, { "title": "Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions", "status": "Oral", "authors": "Bharath Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Gert Lanckriet, Bernhard Sch\u00f6lkopf" }, { "title": "Kernel Methods for Deep Learning", "status": "Poster", "authors": "Youngmin Cho, Lawrence Saul" }, { "title": "Kernels and learning curves for Gaussian process regression on random graphs", "status": "Spotlight", "authors": "Peter Sollich, Matthew J Urry, Camille Coti" }, { "title": "Know Thy Neighbour: A Normative Theory of Synaptic Depression", "status": "Oral", "authors": "Jean-Pascal Pfister, Peter Dayan, Mate Lengyel" }, { "title": "Label Selection on Graphs", "status": "Poster", "authors": "Andrew Guillory, Jeffrey A Bilmes" }, { "title": "Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process", "status": "Poster", "authors": "Shakir Mohamed, David A Knowles, Zoubin Ghahramani, Finale P Doshi-Velez" }, { "title": "Lattice Regression", "status": "Poster", "authors": "Eric K Garcia, Maya R Gupta" }, { "title": "Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data", "status": "Spotlight", "authors": "Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye" }, { "title": "Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering", "status": "Poster", "authors": "Lei Wu, Rong Jin, Steven Chu-Hong Hoi, Jianke Zhu, Nenghai Yu" }, { "title": "Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition", "status": "Poster", "authors": "Natasha Singh-Miller, Michael Collins" }, { "title": "Learning Non-Linear Combinations of Kernels", "status": "Poster", "authors": "Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh" }, { "title": "Learning a Small Mixture of Trees", "status": "Poster", "authors": "M. Pawan Kumar, Daphne Koller" }, { "title": "Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization", "status": "Poster", "authors": "Massih R Amini, Nicolas Usunier, Cyril Goutte" }, { "title": "Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition", "status": "Poster", "authors": "Tom Ouyang, Randall Davis" }, { "title": "Learning in Markov Random Fields using Tempered Transitions", "status": "Poster", "authors": "Russ Salakhutdinov" }, { "title": "Learning models of object structure", "status": "Poster", "authors": "Joseph Schlecht, Kobus Barnard" }, { "title": "Learning to Explore and Exploit in POMDPs", "status": "Poster", "authors": "Chenghui Cai, Xuejun Liao, Lawrence Carin" }, { "title": "Learning to Hash with Binary Reconstructive Embeddings", "status": "Spotlight", "authors": "Brian Kulis, Trevor Darrell" }, { "title": "Learning to Rank by Optimizing NDCG Measure", "status": "Spotlight", "authors": "Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao" }, { "title": "Learning transport operators for image manifolds", "status": "Poster", "authors": "Jack Culpepper, Bruno Olshausen" }, { "title": "Learning with Compressible Priors", "status": "Poster", "authors": "Volkan Cevher" }, { "title": "Linear-time Algorithms for Pairwise Statistical Problems", "status": "Spotlight", "authors": "Parikshit Ram, Dongryeol Lee, William B March, Alexander Gray" }, { "title": "Linearly constrained Bayesian matrix factorization for blind source separation", "status": "Poster", "authors": "Mikkel N Schmidt" }, { "title": "Local Rules for Global MAP: When Do They Work ?", "status": "Poster", "authors": "Kyomin Jung, Pushmeet Kohli, Devavrat Shah" }, { "title": "Locality-sensitive binary codes from shift-invariant kernels", "status": "Oral", "authors": "Maxim Raginsky, Svetlana Lazebnik" }, { "title": "Localizing Bugs in Program Executions with Graphical Models", "status": "Poster", "authors": "Laura Dietz, Valentin Dallmeier, Andreas Zeller, Tobias Scheffer" }, { "title": "Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness", "status": "Spotlight", "authors": "Garvesh Raskutti, Martin J Wainwright, Bin Yu" }, { "title": "Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability", "status": "Poster", "authors": "Keith Bush, Joelle Pineau" }, { "title": "Manifold Regularization for SIR with Rate Root-n Convergence", "status": "Poster", "authors": "Wei Bian, Dacheng Tao" }, { "title": "Matrix Completion from Noisy Entries", "status": "Poster", "authors": "Raghunandan Keshavan, Andrea Montanari, Sewoong Oh" }, { "title": "Matrix Completion from Power-Law Distributed Samples", "status": "Poster", "authors": "Raghu Meka, Prateek Jain, Inderjit Dhillon" }, { "title": "Maximin affinity learning of image segmentation", "status": "Poster", "authors": "Srinivas C Turaga, K Briggman, Moritz N Helmstaedter, Winfried Denk, H. Sebastian Seung" }, { "title": "Maximum likelihood trajectories for continuous-time Markov chains", "status": "Spotlight", "authors": "Theodore Perkins" }, { "title": "Measuring Invariances in Deep Networks", "status": "Poster", "authors": "Ian Goodfellow, Quoc V. Le, Andrew M Saxe, Andrew Y Ng" }, { "title": "Measuring model complexity with the prior predictive", "status": "Poster", "authors": "Wolf Vanpaemel" }, { "title": "Modeling Social Annotation Data with Content Relevance using a Topic Model", "status": "Poster", "authors": "Tomoharu Iwata, Takeshi Yamada, Naonori Ueda" }, { "title": "Modeling the spacing effect in sequential category learning", "status": "Poster", "authors": "HongJing Lu, Matthew Weiden, Alan Yuille" }, { "title": "Modelling Relational Data using Bayesian Clustered Tensor Factorization", "status": "Poster", "authors": "Ilya Sutskever, Russ Salakhutdinov, Josh Tenenbaum" }, { "title": "Monte Carlo Sampling for Regret Minimization in Extensive Games", "status": "Poster", "authors": "Marc Lanctot, Kevin G Waugh, Martin A Zinkevich, Michael Bowling" }, { "title": "Multi-Label Prediction via Compressed Sensing", "status": "Oral", "authors": "Daniel Hsu, Sham M Kakade, John Langford, Tong Zhang" }, { "title": "Multi-Label Prediction via Sparse Infinite CCA", "status": "Poster", "authors": "Piyush Rai, Hal Daum\u00e9 III" }, { "title": "Multi-Step Dyna Planning for Policy Evaluation and Control", "status": "Poster", "authors": "Hengshuai Yao, Richard Sutton, Shalabh Bhatnagar, Dongcui Diao, Csaba Szepesvari" }, { "title": "Multiple Incremental Decremental Learning of Support Vector Machines", "status": "Poster", "authors": "Masayuki Karasuyama, Ichiro Takeuchi" }, { "title": "Nash Equilibria of Static Prediction Games", "status": "Poster", "authors": "Michael Br\u00fcckner, Tobias Scheffer" }, { "title": "Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling", "status": "Spotlight", "authors": "Lei ShiUpdateMe, Tom Griffiths" }, { "title": "Neurometric function analysis of population codes", "status": "Poster", "authors": "Philipp Berens, Sebastian Gerwinn, Alexander S Ecker, Matthias Bethge" }, { "title": "No evidence for active sparsification in the visual cortex", "status": "Poster", "authors": "Pietro Berkes, Ben White, Jozsef Fiser" }, { "title": "Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording", "status": "Poster", "authors": "Zhi Yang, Qi Zhao, Edward Keefer, Wentai Liu" }, { "title": "Noisy Generalized Binary Search", "status": "Poster", "authors": "Rob Nowak" }, { "title": "Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations", "status": "Oral", "authors": "Mingyuan Zhou, Haojun Chen, John Paisley, Lu Ren, Guillermo Sapiro, Larry Carin" }, { "title": "Non-stationary continuous dynamic Bayesian networks", "status": "Poster", "authors": "Marco Grzegorczyk, Dirk Husmeier" }, { "title": "Nonlinear Learning using Local Coordinate Coding", "status": "Poster", "authors": "Kai Yu, Tong Zhang, Yihong Gong" }, { "title": "Nonlinear directed acyclic structure learning with weakly additive noise models", "status": "Poster", "authors": "Robert E Tillman, Arthur Gretton, Peter Spirtes" }, { "title": "Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution", "status": "Poster", "authors": "Cosmin A Bejan, Matthew Titsworth, Andrew F Hickl, Sanda Harabagiu" }, { "title": "Nonparametric Bayesian Texture Learning and Synthesis", "status": "Poster", "authors": "Leo Zhu, Yuanhao Chen, Bill Freeman, Antonio Torralba" }, { "title": "Nonparametric Greedy Algorithms for the Sparse Learning Problem", "status": "Poster", "authors": "Han Liu, Xi Chen" }, { "title": "Nonparametric Latent Feature Models for Link Prediction", "status": "Spotlight", "authors": "Kurt T Miller, Tom Griffiths, Michael Jordan" }, { "title": "Occlusive Components Analysis", "status": "Poster", "authors": "J\u00f6rg L\u00fccke, Richard Turner, Maneesh Sahani, Marc Henniges" }, { "title": "On Invariance in Hierarchical Models", "status": "Poster", "authors": "Jake Bouvrie, Lorenzo Rosasco, Tomaso Poggio" }, { "title": "On Learning Rotations", "status": "Spotlight", "authors": "Raman Arora" }, { "title": "On Stochastic and Worst-case Models for Investing", "status": "Oral", "authors": "Elad Hazan, Satyen Kale" }, { "title": "On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation", "status": "Poster", "authors": "Saketha Nath Jagarlapudi, dinesh govindaraj, Raman S, Chiranjib Bhattacharyya, Aharon Ben-Tal, K. R. Ramakrishnan" }, { "title": "On the Convergence of the Concave-Convex Procedure", "status": "Poster", "authors": "Bharath Sriperumbudur, Gert Lanckriet" }, { "title": "Online Learning of Assignments", "status": "Spotlight", "authors": "Matthew Streeter, Daniel Golovin, Andreas Krause" }, { "title": "Optimal Scoring for Unsupervised Learning", "status": "Poster", "authors": "Zhihua Zhang, guang dai" }, { "title": "Optimal context separation of spiking haptic signals by second-order somatosensory neurons", "status": "Poster", "authors": "Romain Brasselet, Roland Johansson, Angelo Arleo" }, { "title": "Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification", "status": "Oral", "authors": "Wenming Zheng, Zhouchen Lin" }, { "title": "Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis", "status": "Spotlight", "authors": "Alyson Fletcher, Sundeep Rangan" }, { "title": "Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units", "status": "Poster", "authors": "Feng Yan, Ningyi XU, Yuan Qi" }, { "title": "Particle-based Variational Inference for Continuous Systems", "status": "Poster", "authors": "Alexander Ihler, Andrew Frank, Padhraic Smyth" }, { "title": "Perceptual Multistability as Markov Chain Monte Carlo Inference", "status": "Spotlight", "authors": "Samuel J Gershman, Edward Vul, Josh Tenenbaum" }, { "title": "Periodic Step Size Adaptation for Single Pass On-line Learning", "status": "Poster", "authors": "Chun-Nan Hsu, Yu-Ming Chang, Hanshen Huang, Yuh-Jye Lee" }, { "title": "Polynomial Semantic Indexing", "status": "Poster", "authors": "Bing Bai, Jason E Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri" }, { "title": "Positive Semidefinite Metric Learning with Boosting", "status": "Poster", "authors": "Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel" }, { "title": "Posterior vs Parameter Sparsity in Latent Variable Models", "status": "Spotlight", "authors": "Joao V Graca, Kuzman Ganchev, Ben Taskar, Fernando Pereira" }, { "title": "Potential-Based Agnostic Boosting", "status": "Poster", "authors": "Adam Kalai, Varun Kanade" }, { "title": "Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory", "status": "Spotlight", "authors": "Michael Mozer, Harold Pashler, Nicholas Cepeda, Robert Lindsey, Edward Vul" }, { "title": "Probabilistic Relational PCA", "status": "Spotlight", "authors": "Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang" }, { "title": "Quantification and the language of thought", "status": "Spotlight", "authors": "Charles Kemp" }, { "title": "Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs", "status": "Spotlight", "authors": "Alexandre Bouchard-C\u00f4t\u00e9, Slav Petrov, Dan Klein" }, { "title": "Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions", "status": "Poster", "authors": "Parikshit Ram, Dongryeol Lee, Hua Ouyang, Alexander Gray" }, { "title": "Ranking Measures and Loss Functions in Learning to Rank", "status": "Poster", "authors": "Wei Chen, Tie-Yan Liu, Yanyan Lan, Zhi-Ming Ma, Hang Li" }, { "title": "Reading Tea Leaves: How Humans Interpret Topic Models", "status": "Oral", "authors": "Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, Chong Wang, David Blei" }, { "title": "Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)", "status": "Poster", "authors": "Tao Hu, Anthony Leonardo, Dmitri B Chklovskii" }, { "title": "Region-based Segmentation and Object Detection", "status": "Spotlight", "authors": "Stephen Gould, Tianshi Gao, Daphne Koller" }, { "title": "Regularized Distance Metric Learning:Theory and Algorithm", "status": "Poster", "authors": "Rong Jin, Shijun Wang, Yang Zhou" }, { "title": "Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks", "status": "Spotlight", "authors": "Stefan Klampfl, Wolfgang Maass" }, { "title": "Replicated Softmax: an Undirected Topic Model", "status": "Poster", "authors": "Russ Salakhutdinov, Geoffrey E Hinton" }, { "title": "Rethinking LDA: Why Priors Matter", "status": "Spotlight", "authors": "Hanna Wallach, David Mimno, Andrew McCallum" }, { "title": "Riffled Independence for Ranked Data", "status": "Spotlight", "authors": "Jonathan Huang, Carlos Guestrin" }, { "title": "Robust Nonparametric Regression with Metric-Space Valued Output", "status": "Poster", "authors": "Matthias Hein" }, { "title": "Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization", "status": "Poster", "authors": "John Wright, Arvind G Balasubramanian, Shankar Rao, Yigang Peng, Yi Ma" }, { "title": "Robust Value Function Approximation Using Bilinear Programming", "status": "Spotlight", "authors": "Marek Petrik, Shlomo Zilberstein" }, { "title": "STDP enables spiking neurons to detect hidden causes of their inputs", "status": "Spotlight", "authors": "Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass" }, { "title": "Segmenting Scenes by Matching Image Composites", "status": "Poster", "authors": "Bryan C Russell, Alexei A Efros, Josef Sivic, Bill Freeman, Andrew Zisserman" }, { "title": "Semi-Supervised Learning in Gigantic Image Collections", "status": "Oral", "authors": "Rob Fergus, Yair Weiss, Antonio Torralba" }, { "title": "Semi-supervised Learning using Sparse Eigenfunction Bases", "status": "Poster", "authors": "Kaushik Sinha, Mikhail Belkin" }, { "title": "Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction", "status": "Poster", "authors": "Kwang In Kim, Florian Steinke, Matthias Hein" }, { "title": "Sensitivity analysis in HMMs with application to likelihood maximization", "status": "Poster", "authors": "Pierre-Arnaud Coquelin, Romain Deguest, Remi Munos" }, { "title": "Sequential effects reflect parallel learning of multiple environmental regularities", "status": "Poster", "authors": "Matthew Wilder, Matt Jones, Michael Mozer" }, { "title": "Sharing Features among Dynamical Systems with Beta Processes", "status": "Oral", "authors": "Emily Fox, Erik Sudderth, Michael Jordan, Alan S Willsky" }, { "title": "Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining", "status": "Spotlight", "authors": "George Konidaris, Andrew G Barto" }, { "title": "Slow Learners are Fast", "status": "Poster", "authors": "Martin A Zinkevich, Alexander Smola, John Langford" }, { "title": "Slow, Decorrelated Features for Pretraining Complex Cell-like Networks", "status": "Poster", "authors": "James Bergstra, Yoshua Bengio" }, { "title": "Solving Stochastic Games", "status": "Poster", "authors": "Liam MacDermed, Charles Isbell" }, { "title": "Sparse Estimation Using General Likelihoods and Non-Factorial Priors", "status": "Poster", "authors": "David P Wipf, Sri Nagarajan" }, { "title": "Sparse Metric Learning via Smooth Optimization", "status": "Poster", "authors": "Yiming Ying, Kaizhu Huang, Colin I Campbell" }, { "title": "Sparse and Locally Constant Gaussian Graphical Models", "status": "Poster", "authors": "Jean Honorio, Luis E Ortiz, Dimitris Samaras, Nikos Paragios, Rita Goldstein" }, { "title": "Sparsistent Learning of Varying-coefficient Models with Structural Changes", "status": "Spotlight", "authors": "Mladen Kolar, Le Song, Eric Xing" }, { "title": "Spatial Normalized Gamma Processes", "status": "Spotlight", "authors": "Vinayak Rao, Yee Whye Teh" }, { "title": "Speaker Comparison with Inner Product Discriminant Functions", "status": "Poster", "authors": "William Campbell, Zahi N Karam, Douglas E Sturim" }, { "title": "Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing", "status": "Poster", "authors": "Matthias Seeger" }, { "title": "Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data", "status": "Spotlight", "authors": "Boaz Nadler, Nati Srebro, Xueyuan Zhou" }, { "title": "Statistical Consistency of Top-k Ranking", "status": "Poster", "authors": "fen xia, Tie-Yan Liu, Hang Li" }, { "title": "Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing", "status": "Spotlight", "authors": "Ruben Coen-Cagli, Peter Dayan, Odelia Schwartz" }, { "title": "Strategy Grafting in Extensive Games", "status": "Poster", "authors": "Kevin G Waugh, Nolan Bard, Michael Bowling" }, { "title": "Streaming Pointwise Mutual Information", "status": "Poster", "authors": "Benjamin Van Durme, Ashwin Lall" }, { "title": "Streaming k-means approximation", "status": "Poster", "authors": "Nir Ailon, Ragesh Jaiswal, Claire Monteleoni" }, { "title": "Structural inference affects depth perception in the context of potential occlusion", "status": "Spotlight", "authors": "Ian H Stevenson, Konrad Koerding" }, { "title": "Structured output regression for detection with partial truncation", "status": "Poster", "authors": "Andrea Vedaldi, Andrew Zisserman" }, { "title": "Subject independent EEG-based BCI decoding", "status": "Spotlight", "authors": "Siamac Fazli, Cristian Grozea, M\u00e1rton Dan\u00f3czy, Benjamin Blankertz, Florin Popescu, Klaus-Robert M\u00fcller" }, { "title": "Submanifold density estimation", "status": "Poster", "authors": "Arkadas Ozakin, Alexander Gray" }, { "title": "Submodularity Cuts and Applications", "status": "Spotlight", "authors": "Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeffrey A Bilmes" }, { "title": "Sufficient Conditions for Agnostic Active Learnable", "status": "Poster", "authors": "Liwei Wang" }, { "title": "The \"tree-dependent components\" of natural scenes are edge filters", "status": "Poster", "authors": "Daniel Zoran, Yair Weiss" }, { "title": "The Infinite Partially Observable Markov Decision Process", "status": "Poster", "authors": "Finale P Doshi-Velez" }, { "title": "The Ordered Residual Kernel for Robust Motion Subspace Clustering", "status": "Poster", "authors": "Tat-Jun Chin, Hanzi Wang, David Suter" }, { "title": "The Wisdom of Crowds in the Recollection of Order Information", "status": "Poster", "authors": "Mark Steyvers, Michael D Lee, Brent Miller, Pernille Hemmer" }, { "title": "Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation", "status": "Poster", "authors": "Shuheng Zhou" }, { "title": "Time-Varying Dynamic Bayesian Networks", "status": "Spotlight", "authors": "Le Song, Mladen Kolar, Eric Xing" }, { "title": "Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models", "status": "Oral", "authors": "Jonathan W Pillow" }, { "title": "Toward Provably Correct Feature Selection in Arbitrary Domains", "status": "Poster", "authors": "Dimitris Margaritis" }, { "title": "Tracking Dynamic Sources of Malicious Activity at Internet Scale", "status": "Spotlight", "authors": "Shobha Venkataraman, Avrim Blum, Dawn Song, Subhabrata Sen, Oliver Spatscheck" }, { "title": "Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference", "status": "Spotlight", "authors": "Michael Wick, Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum" }, { "title": "Unsupervised Detection of Regions of Interest Using Iterative Link Analysis", "status": "Poster", "authors": "Gunhee Kim, Antonio Torralba" }, { "title": "Unsupervised Feature Selection for the $k$-means Clustering Problem", "status": "Poster", "authors": "Christos Boutsidis, Michael W Mahoney, Petros Drineas" }, { "title": "Unsupervised feature learning for audio classification using convolutional deep belief networks", "status": "Poster", "authors": "Honglak Lee, Peter Pham, Yan Largman, Andrew Y Ng" }, { "title": "Variational Gaussian-process factor analysis for modeling spatio-temporal data", "status": "Spotlight", "authors": "Jaakko Luttinen, Alexander Ilin" }, { "title": "Variational Inference for the Nested Chinese Restaurant Process", "status": "Poster", "authors": "Chong Wang, David Blei" }, { "title": "Which graphical models are difficult to learn?", "status": "Poster", "authors": "Andrea Montanari, Jos\u00e9 Bento" }, { "title": "White Functionals for Anomaly Detection in Dynamical Systems", "status": "Poster", "authors": "Marco Cuturi, Jean-Philippe Vert, Alexandre d'Aspremont" }, { "title": "Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise", "status": "Poster", "authors": "Jacob Whitehill, Paul L Ruvolo, Ting-fan Wu, Jacob Bergsma, javier r movellan" }, { "title": "Who\u2019s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation", "status": "Poster", "authors": "Jie Luo, Barbara Caputo, Vittorio Ferrari" }, { "title": "Zero-shot Learning with Semantic Output Codes", "status": "Poster", "authors": "Mark M Palatucci, Dean Pomerleau, Geoffrey E Hinton, Tom Mitchell" }, { "title": "fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity", "status": "Poster", "authors": "Bryan Conroy, Ben Singer, James Haxby, Peter J Ramadge" } ]