[ { "title": "(Not) Sparse Coding", "status": "Poster", "authors": "Drew Bagnell, David M Bradley" }, { "title": "A \"Shape Aware\" Model for semi-supervised Learning of Objects and its Context", "status": "Poster", "authors": "Abhinav Gupta, Jianbo Shi, Larry Davis" }, { "title": "A \"Shape Aware'' Model for semi-supervised Learning of Objects and its Context", "status": "Spotlight", "authors": "Abhinav Gupta, Jianbo Shi, Larry Davis" }, { "title": "A Bayesian Approach for Extracting State Transition Dynamics from Multiple Spike Trains", "status": "Poster", "authors": "Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Masato Okada" }, { "title": "A Convergent O(n) Temporal-difference Algorithm for Off-policy Learning with Linear Function Approxi", "status": "Poster", "authors": "Richard Sutton, Csaba Szepesvari, Hamid R Maei" }, { "title": "A Convex Upper Bound on the Log-Partition Function", "status": "Poster", "authors": "Laurent El Ghaoui, Assane Gueye" }, { "title": "A Hierarchical Image Model for Polynomial-Time 2D Parsing", "status": "Spotlight", "authors": "Long Zhu, Yuanhao Chen, Yuan Lin, Alan Yuille" }, { "title": "A Massively Parallel Digital Learning Processor", "status": "Spotlight", "authors": "Hans Peter Graf, Hari Cadambi, Igor Durdanovic, Venkata Jakkula, Murugan Sankaradass, Eric Cosatto, Srimat Chakradhar" }, { "title": "A Scalable Hierarchical Distributed Language Model", "status": "Poster", "authors": "Andriy Mnih, Geoffrey E Hinton" }, { "title": "A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning", "status": "Spotlight", "authors": "Massih R Amini, Nicolas Usunier, Francois Laviolette" }, { "title": "A computational model of hippocampal function in trace conditioning", "status": "Poster", "authors": "Elliot A Ludvig, Richard Sutton, Eric Verbeek, James Kehoe" }, { "title": "A general framework for investigating how far the decoding process in the brain can be simplified", "status": "Spotlight", "authors": "Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi, Toshihiko Hosoya, Masato Okada" }, { "title": "A mixture model for the evolution of gene expression in non-homogeneous datasets", "status": "Poster", "authors": "Gerald Quon, Yee Whye Teh, Esther Chan, Michael Brudno, Tim Hughes, Quaid Morris" }, { "title": "A rational model of preference learning and choice prediction by children", "status": "Spotlight", "authors": "Chris Lucas, Tom Griffiths, Fei Xu, Christine Fawcett" }, { "title": "A spatially varying two-sample recombinant coalescent, with applications to HIV escape response", "status": "Poster", "authors": "Alexander Braunstein, Zhi Wei, Shane T Jensen, Jon McAuliffe" }, { "title": "Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes", "status": "Poster", "authors": "Ben Calderhead, Mark A Girolami, Neil D Lawrence" }, { "title": "Adapting to a Market Shock: Optimal Sequential Market-Making", "status": "Poster", "authors": "Sanmay Das, Malik Magdon-Ismail" }, { "title": "Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models", "status": "Oral", "authors": "Tong Zhang" }, { "title": "Adaptive Martingale Boosting", "status": "Spotlight", "authors": "Phil Long, Rocco A Servedio" }, { "title": "Adaptive Template Matching with Shift-Invariant Semi-NMF", "status": "Poster", "authors": "Jonathan Le Roux, Alain de Cheveign\u00e9, Lucas C Parra" }, { "title": "Algorithms for Infinitely Many-Armed Bandits", "status": "Spotlight", "authors": "Yizao Wang, Jean-Yves Audibert, Remi Munos" }, { "title": "An Algorithm for Microchip Spike Sorting", "status": "Spotlight", "authors": "Zhi Yang, Wentai Liu" }, { "title": "An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering", "status": "Poster", "authors": "Dilan Gorur, Yee Whye Teh" }, { "title": "An Extended Level Method for Efficient Multiple Kernel Learning", "status": "Poster", "authors": "Zenglin Xu, Rong Jin, Irwin King, Michael R Lyu" }, { "title": "An Homotopy Algorithm for the Lasso with Online Observations", "status": "Poster", "authors": "Pierre Garrigues, Laurent El Ghaoui" }, { "title": "An Online Algorithm for Maximizing Submodular Functions", "status": "Spotlight", "authors": "Matthew Streeter, Daniel Golovin" }, { "title": "An empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis", "status": "Poster", "authors": "Gabriele B Schweikert, Christian Widmer, Bernhard Sch\u00f6lkopf, Gunnar R\u00e4tsch" }, { "title": "An ideal observer model of infant object perception", "status": "Poster", "authors": "Charles Kemp, Fei Xu" }, { "title": "An improved estimator of Variance Explained in the presence of noise", "status": "Spotlight", "authors": "Ralf Haefner, Bruce Cumming" }, { "title": "An interior-point stochastic approximation method and an L1-regularized delta rule", "status": "Oral", "authors": "Peter Carbonetto, Mark Schmidt, Nando de Freitas" }, { "title": "Analyzing human feature learning as nonparametric Bayesian inference", "status": "Spotlight", "authors": "Joseph L Austerweil, Tom Griffiths" }, { "title": "Analyzing the Monotonic Feature Abstraction for Text Classification", "status": "Spotlight", "authors": "Doug Downey, Oren Etzioni" }, { "title": "Artificial Olfactory Brain for Mixture Identification", "status": "Spotlight", "authors": "Mehmet K Muezzinoglu, Alexander Vergara, Ramon Huerta, Thomas Nowotny, Nikolai Rulkov, Henry Abarbanel, Allen Selverston, Mikhail Rabinovich" }, { "title": "Asynchronous Distributed Learning of Topic Models", "status": "Poster", "authors": "Arthur Asuncion, Padhraic Smyth, Max Welling" }, { "title": "Automatic online tuning for fast Gaussian summation", "status": "Poster", "authors": "Vlad I Morariu, Balaji Vasan Srinivasan, Vikas C Raykar, Ramani Duraiswami, Larry Davis" }, { "title": "Bayesian Experimental Design of Magnetic Resonance Imaging Sequences", "status": "Spotlight", "authors": "Matthias Seeger, Hannes Nickisch, Rolf Pohmann, Bernhard Sch\u00f6lkopf" }, { "title": "Bayesian Exponential Family PCA", "status": "Spotlight", "authors": "Shakir Mohamed, Katherine Heller, Zoubin Ghahramani" }, { "title": "Bayesian Kernel Shaping for Learning Control", "status": "Poster", "authors": "Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal" }, { "title": "Bayesian Model of Behaviour in Economic Games", "status": "Poster", "authors": "Debajyoti Ray, Brooks King-Casas, P. Read Montague, Peter Dayan" }, { "title": "Bayesian Network Score Approximation using a Metagraph Kernel", "status": "Spotlight", "authors": "Benjamin Yackley, Eduardo Corona, Terran Lane" }, { "title": "Bayesian Synchronous Grammar Induction", "status": "Poster", "authors": "Phil Blunsom, Trevor Cohn, Miles Osborne" }, { "title": "Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree", "status": "Oral", "authors": "Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly B Jimison, Frank W Ohl, Misha Pavel" }, { "title": "Biasing Approximate Dynamic Programming with a Lower Discount Factor", "status": "Poster", "authors": "Marek Petrik, Bruno Scherrer" }, { "title": "Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl", "status": "Poster", "authors": "Juan Huo, Zhijun Yang, Alan F Murray" }, { "title": "Bounding Performance Loss in Approximate MDP Homomorphisms", "status": "Poster", "authors": "Doina Precup, Jonathan Taylor Taylor, Prakash Panangaden" }, { "title": "Bounds on marginal probability distributions", "status": "Spotlight", "authors": "Joris M Mooij, Hilbert J Kappen" }, { "title": "Breaking Audio CAPTCHAs with Machine Learning Techniques", "status": "Spotlight", "authors": "Jennifer Tam, Jiri Simsa, Sean Hyde, Luis von Ahn" }, { "title": "Cascaded Classification Models: Combining Models for Holistic Scene Understanding", "status": "Oral", "authors": "Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller" }, { "title": "Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons", "status": "Poster", "authors": "Adam Ponzi, Jeff Wickens" }, { "title": "Characteristic Kernels on Groups and Semigroups", "status": "Oral", "authors": "Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton, Bernhard Sch\u00f6lkopf" }, { "title": "Characterizing neural dependencies with Poisson copula models", "status": "Spotlight", "authors": "Pietro Berkes, Frank Wood, Jonathan W Pillow" }, { "title": "Clustered Multi-Task Learning: A Convex Formulation", "status": "Spotlight", "authors": "Laurent Jacob, Francis Bach, Jean-Philippe Vert" }, { "title": "Clustering via LP-based Stabilities", "status": "Poster", "authors": "Nikos Komodakis, Nikos Paragios, Georgios Tziritas" }, { "title": "Clusters and Coarse Partitions in LP Relaxations", "status": "Spotlight", "authors": "David Sontag, Amir Globerson, Tommi Jaakkola" }, { "title": "Comparing model predictions of response bias and variance in cue combination", "status": "Poster", "authors": "Rama Natarajan, Iain Murray, Ladan Shams, Richard Zemel" }, { "title": "Competing RBM density models for classification of fMRI images", "status": "Poster", "authors": "Tanya Schmah, Geoffrey E Hinton, Richard Zemel" }, { "title": "Continuously-adaptive discretization for message-passing algorithms", "status": "Poster", "authors": "Michael Isard, John MacCormick, Kannan Achan" }, { "title": "Convergence and Rate of Convergence of A Manifold-Based Dimension Reduction", "status": "Poster", "authors": "Andrew Smith, Xiaoming Huo, Hongyuan Zha" }, { "title": "Correlated Bigram LSA for Unsupervised Language Model Adaptation", "status": "Poster", "authors": "Yik-Cheung Tam, Tanja Schultz" }, { "title": "Counting Solution Clusters Using Belief Propagation", "status": "Poster", "authors": "Lukas Kroc, Ashish Sabharwal, Bart Selman" }, { "title": "Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform", "status": "Poster", "authors": "Guangzhi Cao, Charles A Bouman" }, { "title": "Cyclizing Clusters via Zeta Function of a Graph", "status": "Poster", "authors": "Deli Zhao, Xiaoou Tang" }, { "title": "Deep Learning with Kernel Regularization for Visual Recognition", "status": "Spotlight", "authors": "Kai Yu, Wei Xu, Yihong Gong" }, { "title": "Deflation Methods for Sparse PCA", "status": "Spotlight", "authors": "Lester W Mackey" }, { "title": "Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1", "status": "Poster", "authors": "Klaus Wimmer, Marcel Stimberg, Robert Martin, Lars Schwabe, Jorge Mari\u00f1o, James Schummers, David C. Lyon, Mriganka Sur, Klaus H Obermayer" }, { "title": "Dependent Dirichlet Process Spike Sorting", "status": "Poster", "authors": "Jan Gasthaus, Frank Wood, Dilan Gorur, Yee Whye Teh" }, { "title": "Depression: an RL formulation and a behavioural test", "status": "Poster", "authors": "Quentin J Huys, Joshua T Vogelstein, Peter Dayan" }, { "title": "Designing neurophysiology experiments to optimally constrain receptive field models along parametric", "status": "Poster", "authors": "Jeremy Lewi, Robert Butera, Liam M Paninski" }, { "title": "Diffeomorphic Dimensionality Reduction", "status": "Poster", "authors": "Christian Walder, Bernhard Sch\u00f6lkopf" }, { "title": "Dimensionality Reduction for Data in Multiple Feature Representations", "status": "Poster", "authors": "Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh" }, { "title": "DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification", "status": "Poster", "authors": "Simon Lacoste-Julien, Fei Sha, Michael Jordan" }, { "title": "Domain Adaptation with Multiple Sources", "status": "Spotlight", "authors": "Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh" }, { "title": "Dynamic Visual Attention: Searching for coding length increments", "status": "Spotlight", "authors": "Xiaodi Hou, Liqing Zhang" }, { "title": "Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance", "status": "Spotlight", "authors": "Jeremy Hill, Jason Farquhar, Suzanne Martens, Felix Bie\u00dfmann, Bernhard Sch\u00f6lkopf" }, { "title": "Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection", "status": "Poster", "authors": "Takafumi Kanamori, Shohei Hido, Masashi Sugiyama" }, { "title": "Efficient Exact Inference in Planar Ising Models", "status": "Poster", "authors": "Nicol Schraudolph, Dmitry Kamenetsky" }, { "title": "Efficient Inference in Phylogenetic InDel Trees", "status": "Spotlight", "authors": "Alexandre Bouchard-C\u00f4t\u00e9, Michael Jordan, Dan Klein" }, { "title": "Efficient Sampling for Gaussian Process Inference using Control Variables", "status": "Spotlight", "authors": "Michalis Titsias, Neil D Lawrence, Magnus Rattray" }, { "title": "Empirical performance maximization for linear rank statistics", "status": "Poster", "authors": "Stephan Cl\u00e9men\u00e7on, Nicolas Vayatis" }, { "title": "Estimating Robust Query Models with Convex Optimization", "status": "Poster", "authors": "Kevyn Collins-Thompson" }, { "title": "Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG", "status": "Spotlight", "authors": "David P Wipf, Julia Owen, Hagai Attias, Kensuke Sekihara, Sri Nagarajan" }, { "title": "Estimating vector fields using sparse basis field expansions", "status": "Poster", "authors": "Stefan Haufe, Vadim Nikulin, Andreas Ziehe, Klaus-Robert M\u00fcller, Guido Nolte" }, { "title": "Estimation of Information Theoretic Measures for Continuous Random Variables", "status": "Poster", "authors": "Fernando Perez-Cruz" }, { "title": "Evaluating probabilities under high-dimensional latent variable models", "status": "Spotlight", "authors": "Iain Murray, Russ Salakhutdinov" }, { "title": "Exact Convex Confidence-Weighted Learning", "status": "Spotlight", "authors": "Yacov Crammer, Mark Dredze, Fernando Pereira" }, { "title": "Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning", "status": "Poster", "authors": "Francis Bach" }, { "title": "Extended Grassmann Kernels for Subspace-Based Learning", "status": "Poster", "authors": "Jihun Hamm, Daniel Lee" }, { "title": "Fast Computation of Posterior Mode in Multi-Level Hierarchical Models", "status": "Spotlight", "authors": "Deepak Agarwal, Liang Zhang" }, { "title": "Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method", "status": "Poster", "authors": "Dongryeol Lee, Alexander Gray" }, { "title": "Fast Prediction on a Tree", "status": "Oral", "authors": "Mark Herbster, Massimiliano Pontil, Sergio Rojas Galeano" }, { "title": "Fast Rates for Regularized Objectives", "status": "Poster", "authors": "Karthik Sridharan, Shai Shalev-Shwartz, Nati Srebro" }, { "title": "Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets", "status": "Poster", "authors": "Jean-Philippe Pellet, Andre Elisseeff" }, { "title": "Fitted Q-iteration by Advantage Weighted Regression", "status": "Spotlight", "authors": "Gerhard Neumann, Jan Peters" }, { "title": "From Online to Batch Learning with Cutoff-Averaging", "status": "Poster", "authors": "Ofer Dekel" }, { "title": "Gates", "status": "Spotlight", "authors": "Tom Minka, John Winn" }, { "title": "Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity", "status": "Poster", "authors": "Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani" }, { "title": "Generative and Discriminative Learning with Unknown Labeling Bias", "status": "Poster", "authors": "Miroslav Dudik, Steven Phillips" }, { "title": "Global Ranking Using Continuous Conditional Random Fields", "status": "Oral", "authors": "Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Hang Li" }, { "title": "Goal-directed decision making in prefrontal cortex: a computational framework", "status": "Poster", "authors": "Matthew Botvinick, James An" }, { "title": "Grouping Contours Via a Related Image", "status": "Poster", "authors": "Praveen Srinivasan, Liming Wang, Jianbo Shi" }, { "title": "Hebbian Learning of Bayes Optimal Decisions", "status": "Poster", "authors": "Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass" }, { "title": "Hierarchical Conditional Random Fields for Recursive Sequential Data", "status": "Poster", "authors": "The Truyen Tran, Dinh Q Phung, Hung H Bui, Svetha Venkatesh" }, { "title": "Hierarchical Fisher Kernels for Longitudinal Data", "status": "Poster", "authors": "Zhengdong Lu, Todd K Leen, Jeffrey Kaye" }, { "title": "High-dimensional union support recovery in multivariate regression", "status": "Spotlight", "authors": "Guillaume R Obozinski, Martin J Wainwright, Michael Jordan" }, { "title": "How memory biases affect information transmission: A rational analysis of serial reproduction", "status": "Spotlight", "authors": "Jing Xu, Tom Griffiths" }, { "title": "Human Active Learning", "status": "Poster", "authors": "Jerry Zhu, Rui M Castro, Timothy T Rogers, Rob Nowak, Ruichen Qian, Chuck Kalish" }, { "title": "ICA based on a Smooth Estimation of the Differential Entropy", "status": "Spotlight", "authors": "Lev Faivishevsky, Jacob Goldberger" }, { "title": "Implicit Mixtures of Restricted Boltzmann Machines", "status": "Poster", "authors": "Vinod Nair, Geoffrey E Hinton" }, { "title": "Improved Moves for Truncated Convex Models", "status": "Spotlight", "authors": "Pawan K Mudigonda, Philip Torr" }, { "title": "Improving on Expectation Propagation", "status": "Spotlight", "authors": "Manfred Opper, Ulrich Paquet, Ole Winther" }, { "title": "Inferring rankings under constrained sensing", "status": "Oral", "authors": "Srikanth Jagabathula, Devavrat Shah" }, { "title": "Influence of graph construction on graph-based clustering measures", "status": "Oral", "authors": "Markus M Maier, Ulrike von Luxburg, Matthias Hein" }, { "title": "Integrating Locally Learned Causal Structures with Overlapping Variables", "status": "Poster", "authors": "Robert E Tillman, David Danks, Clark Glymour" }, { "title": "Interpreting the neural code with Formal Concept Analysis", "status": "Spotlight", "authors": "Dominik M Endres, Peter Foldiak" }, { "title": "Kernel Change-point Analysis", "status": "Poster", "authors": "Zaid Harchaoui, Francis Bach, Eric Moulines" }, { "title": "Kernel Measures of Independence for non-iid Data", "status": "Spotlight", "authors": "Xinhua Zhang, Le Song, Arthur Gretton, Alexander Smola" }, { "title": "Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control", "status": "Oral", "authors": "Lavi Shpigelman, Hagai Lalazar, Eilon Vaadia" }, { "title": "Kernelized Sorting", "status": "Spotlight", "authors": "Novi Quadrianto, Le Song, Alexander Smola" }, { "title": "LOOPS: Localizing Object Outlines using Probabilistic Shape", "status": "Poster", "authors": "Geremy Heitz, Gal Elidan, Benjamin D Packer, Daphne Koller" }, { "title": "Large Margin Taxonomy Embedding for Document Categorization", "status": "Spotlight", "authors": "Kilian Q Weinberger, Olivier Chapelle" }, { "title": "Learning Bounded Treewidth Bayesian Networks", "status": "Spotlight", "authors": "Gal Elidan, Stephen Gould" }, { "title": "Learning Hybrid Models for Image Annotation with Partially Labeled Data", "status": "Poster", "authors": "Xuming He, Richard Zemel" }, { "title": "Learning Taxonomies by Dependence Maximization", "status": "Poster", "authors": "Matthew B Blaschko, Arthur Gretton" }, { "title": "Learning Transformational Invariants from Time-Varying Natural Images", "status": "Spotlight", "authors": "Charles Cadieu, Bruno Olshausen" }, { "title": "Learning a discriminative hidden part model for human action recognition", "status": "Spotlight", "authors": "Yang Wang, Greg Mori" }, { "title": "Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text", "status": "Poster", "authors": "Yi Zhang, Jeff Schneider, Artur Dubrawski" }, { "title": "Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement", "status": "Oral", "authors": "Michael Todd, Yael Niv, Jonathan D Cohen" }, { "title": "Learning with Consistency between Inductive Functions and Kernels", "status": "Spotlight", "authors": "Haixuan Yang, Irwin King, Michael R Lyu" }, { "title": "Linear Classification and Selective Sampling Under Low Noise Conditions", "status": "Poster", "authors": "Giovanni Cavallanti, Nicol\u00f2 Cesa-Bianchi, Claudio Gentile" }, { "title": "Load and Attentional Bayes", "status": "Oral", "authors": "Peter Dayan" }, { "title": "Local Gaussian Process Regression for Real Time Online Model Learning", "status": "Poster", "authors": "Duy Nguyen-Tuong, Matthias Seeger, Jan Peters" }, { "title": "Localized Sliced Inverse Regression", "status": "Spotlight", "authors": "Qiang Wu, Sayan Mukherjee, Feng Liang" }, { "title": "MAS: a multiplicative approximation scheme for probabilistic inference", "status": "Oral", "authors": "Ydo Wexler, Christopher Meek" }, { "title": "MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features", "status": "Poster", "authors": "Tae-Kyun Kim, Roberto Cipolla" }, { "title": "MDPs with Non-Deterministic Policies", "status": "Poster", "authors": "Mahdi Milani Fard, Joelle Pineau" }, { "title": "Measures of Clustering Quality: A Working Set of Axioms for Clustering", "status": "Oral", "authors": "Shai Ben-David, Margareta Ackerman" }, { "title": "Mind the Duality Gap: Logarithmic regret algorithms for online optimization", "status": "Spotlight", "authors": "Shai Shalev-Shwartz, Sham M Kakade" }, { "title": "Mixed Membership Stochastic Blockmodels", "status": "Spotlight", "authors": "Edo M Airoldi, David Blei, Stephen E Fienberg, Eric Xing" }, { "title": "Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \\ell_1-regularizedMLE", "status": "Poster", "authors": "Pradeep Ravikumar, Garvesh Raskutti, Martin J Wainwright, Bin Yu" }, { "title": "Model selection and velocity estimation using novel priors for motion patterns", "status": "Oral", "authors": "Alan Yuille, Shuang Wu, HongJing Lu" }, { "title": "Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex", "status": "Oral", "authors": "Arno Onken, Steffen Gr\u00fcnew\u00e4lder, Matthias Munk, Klaus H Obermayer" }, { "title": "Modeling human function learning with Gaussian processes", "status": "Poster", "authors": "Tom Griffiths, Chris Lucas, Joseph Jay Williams, Michael Kalish" }, { "title": "Modeling the effects of memory on human online sentence processing with particle filters", "status": "Oral", "authors": "Roger Levy, Florencia Reali, Tom Griffiths" }, { "title": "Mortal Multi-Armed Bandits", "status": "Poster", "authors": "Filip Radlinski, Deepayan Chakrabarti, Ravi Kumar, Eli Upfal" }, { "title": "Multi-Agent Filtering with Infinitely Nested Beliefs", "status": "Spotlight", "authors": "Luke Zettlemoyer, Brian Milch, Leslie Kaelbling" }, { "title": "Multi-Level Active Prediction of Useful Image Annotations for Recognition", "status": "Oral", "authors": "Sudheendra N Vijayanarasimhan, Kristen Grauman" }, { "title": "Multi-label Multiple Kernel Learning", "status": "Spotlight", "authors": "Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye" }, { "title": "Multi-resolution Exploration in Continuous Spaces", "status": "Spotlight", "authors": "Ali Nouri, Michael L Littman" }, { "title": "Multi-stage Convex Relaxation for Learning with Sparse Regularization", "status": "Poster", "authors": "Tong Zhang" }, { "title": "Multi-task Gaussian Process Learning of Robot Inverse Dynamics", "status": "Spotlight", "authors": "Kian Ming A Chai, Chris Williams, Stefan Klanke, Sethu Vijayakumar" }, { "title": "Multiscale Random Fields with Application to Contour Grouping", "status": "Poster", "authors": "Longin Jan J Latecki, ChengEn Lu, Marc J Sobel, Xiang Bai" }, { "title": "Natural Image Denoising with Convolutional Networks", "status": "Poster", "authors": "Viren Jain, H. Sebastian Seung" }, { "title": "Near-minimax recursive density estimation on the binary hypercube", "status": "Spotlight", "authors": "Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett, Jorge G Silva" }, { "title": "Near-optimal Regret Bounds for Reinforcement Learning", "status": "Spotlight", "authors": "Peter Auer, Thomas Jaksch, Ronald Ortner" }, { "title": "Non-parametric Regression Between Manifolds", "status": "Poster", "authors": "Florian Steinke, Matthias Hein" }, { "title": "Non-stationary dynamic Bayesian networks", "status": "Poster", "authors": "Joshua W Robinson, Alexander J Hartemink" }, { "title": "Nonlinear causal discovery with additive noise models", "status": "Spotlight", "authors": "Patrik O Hoyer, Dominik Janzing, Joris M Mooij, Jonas Peters, Bernhard Sch\u00f6lkopf" }, { "title": "Nonparametric Bayesian Learning of Switching Linear Dynamical Systems", "status": "Spotlight", "authors": "Emily Fox, Erik Sudderth, Michael Jordan, Alan S Willsky" }, { "title": "Nonparametric Bayesian Sparse Hierarchical Factor Modeling and Regression", "status": "Poster", "authors": "Piyush Rai, Hal Daum\u00e9 III" }, { "title": "Nonparametric regression and classification with joint sparsity constraints", "status": "Spotlight", "authors": "Han Liu, John Lafferty, Larry Wasserman" }, { "title": "Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images", "status": "Spotlight", "authors": "Pradeep Ravikumar, Vincent Vu, Bin Yu, Thomas Naselaris, Kendrick Kay, Jack Gallant" }, { "title": "Nonrigid Structure from Motion in Trajectory Space", "status": "Oral", "authors": "Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kanade" }, { "title": "Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks", "status": "Spotlight", "authors": "Alex Graves, J\u00fcrgen Schmidhuber" }, { "title": "On Bootstrapping the ROC Curve", "status": "Poster", "authors": "Patrice Bertail, Stephan Cl\u00e9men\u00e7on, Nicolas Vayatis" }, { "title": "On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing", "status": "Oral", "authors": "Benjamin Schrauwen, Lars Buesing, Robert Legenstein" }, { "title": "On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization", "status": "Poster", "authors": "Sham M Kakade, Karthik Sridharan, Ambuj Tewari" }, { "title": "On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost", "status": "Spotlight", "authors": "Hamed Masnadi-Shirazi, Nuno Vasconcelos" }, { "title": "On the Efficient Minimization of Classification Calibrated Surrogates", "status": "Spotlight", "authors": "Richard Nock, Frank NIELSEN" }, { "title": "On the Generalization Ability of Online Strongly Convex Programming Algorithms", "status": "Spotlight", "authors": "Sham M Kakade, Ambuj Tewari" }, { "title": "On the Reliability of Clustering Stability in the Large Sample Regime", "status": "Spotlight", "authors": "Ohad Shamir, Naftali Tishby" }, { "title": "On the equivalence between TD learning and differential Hebbian learning using a local third factor", "status": "Poster", "authors": "Christoph Kolodziejski, Bernd Porr, Minija Tamosiunaite, Florentin Woergoetter" }, { "title": "On-Line Prediction on Large Diameter Graphs", "status": "Poster", "authors": "Mark Herbster, Massimiliano Pontil, Guy Lever" }, { "title": "One sketch for all: Theory and Application of Conditional Random Sampling", "status": "Spotlight", "authors": "Ping Li, Kenneth W Church, Trevor Hastie" }, { "title": "Online Metric Learning and Fast Similarity Search", "status": "Oral", "authors": "Prateek Jain, Brian Kulis, Inderjit Dhillon, Kristen Grauman" }, { "title": "Online Models for Content Optimization", "status": "Poster", "authors": "Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah" }, { "title": "Online Optimization in X-Armed Bandits", "status": "Poster", "authors": "Sebastien Bubeck, Remi Munos, Gilles Stoltz, Csaba Szepesvari" }, { "title": "Optimal Response Initiation: Why Recent Experience Matters", "status": "Spotlight", "authors": "Matt Jones, Michael Mozer, Sachiko Kinoshita" }, { "title": "Optimization on a Budget: A Reinforcement Learning Approach", "status": "Spotlight", "authors": "Paul L Ruvolo, Ian R Fasel, javier r movellan" }, { "title": "Overlaying classifiers: a practical approach for optimal ranking", "status": "Poster", "authors": "Stephan Cl\u00e9men\u00e7on, Nicolas Vayatis" }, { "title": "PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning", "status": "Poster", "authors": "Chunhua Shen, Alan Welsh, Lei Wang" }, { "title": "Partially Observed Maximum Entropy Discrimination Markov Networks", "status": "Poster", "authors": "Jun Zhu, Eric Xing, Bo Zhang" }, { "title": "Particle Filter-based Policy Gradient in POMDPs", "status": "Poster", "authors": "Pierre-Arnaud Coquelin, Romain Deguest, Remi Munos" }, { "title": "Performance analysis for L_2 kernel classification", "status": "Spotlight", "authors": "JooSeuk Kim, Clayton Scott" }, { "title": "Phase transitions for high-dimensional joint support recovery", "status": "Spotlight", "authors": "Sahand N Negahban, Martin J Wainwright" }, { "title": "Playing Pinball with non-invasive BCI", "status": "Poster", "authors": "Michael W Tangermann (ne Schr\u00f6der), Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Klaus-Robert M\u00fcller" }, { "title": "Policy Search for Motor Primitives in Robotics", "status": "Oral", "authors": "Jens Kober, Jan Peters" }, { "title": "Posterior Consistency of the Silverman g-prior in Bayesian Model Choice", "status": "Spotlight", "authors": "Zhihua Zhang, Michael Jordan, Dit-Yan Yeung" }, { "title": "Predicting the Geometry of Metal Binding Sites from Protein Sequence", "status": "Spotlight", "authors": "Paolo Frasconi, Andrea Passerini" }, { "title": "Predictive Indexing for Fast Search", "status": "Poster", "authors": "Sharad Goel, John Langford, Alexander L Strehl" }, { "title": "Privacy-preserving logistic regression", "status": "Poster", "authors": "Kamalika Chaudhuri, Claire Monteleoni" }, { "title": "Probabilistic detection of short events, with application to critical care monitoring", "status": "Poster", "authors": "Norm Aleks, Stuart J Russell, Michael G Madden, Diane Morabito, Geoffrey T Manley, Kristan Staudenmayer, Mitchell Cohen" }, { "title": "QUIC-SVD: Fast SVD Using Cosine Trees", "status": "Poster", "authors": "Michael Holmes, Alexander Gray, Charles Isbell" }, { "title": "Rademacher Complexity Bounds for Non-I.I.D. Processes", "status": "Poster", "authors": "Mehryar Mohri, Afshin Rostamizadeh" }, { "title": "Reconciling Real Scores with Binary Comparisons: A Unified Logistic Model for Ranking", "status": "Poster", "authors": "Nir Ailon" }, { "title": "Reducing statistical dependencies in natural signals using radial Gaussianization", "status": "Oral", "authors": "Siwei Lyu, Eero Simoncelli" }, { "title": "Regularized Co-Clustering with Dual Supervision", "status": "Poster", "authors": "Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovic" }, { "title": "Regularized Learning with Networks of Features", "status": "Poster", "authors": "Ted Sandler, John Blitzer, Partha P Talukdar, Lyle Ungar" }, { "title": "Regularized Policy Iteration", "status": "Poster", "authors": "Amir-massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvari, Shie Mannor" }, { "title": "Relative Margin Machines", "status": "Poster", "authors": "Pannagadatta K Shivaswamy, Tony Jebara" }, { "title": "Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation", "status": "Spotlight", "authors": "Indraneel Mukherjee, David Blei" }, { "title": "Resolution Limits of Sparse Coding in High Dimensions", "status": "Poster", "authors": "Alyson Fletcher, Sundeep Rangan, Vivek K Goyal" }, { "title": "Risk Bounds for Randomized Sample Compressed Classifiers", "status": "Poster", "authors": "Mohak Shah" }, { "title": "Robust Kernel Principal Component Analysis", "status": "Spotlight", "authors": "Minh Hoai Nguyen, Fernando D De la Torre" }, { "title": "Robust Near-Isometric Matching via Structured Learning of Graphical Models", "status": "Poster", "authors": "Julian J McAuley, Tiberio Caetano, Alexander Smola" }, { "title": "Robust Regression and Lasso", "status": "Spotlight", "authors": "Huan Xu, Constantine Caramanis, Shie Mannor" }, { "title": "SDL: Supervised Dictionary Learning", "status": "Poster", "authors": "Julien Mairal, Francis Bach, Jean A Ponce, Guillermo Sapiro, Andrew Zisserman" }, { "title": "Scalable Algorithms for String Kernels with Inexact Matching", "status": "Spotlight", "authors": "Pavel Kuksa, Pai-Hsi Huang, Vladimir Pavlovic" }, { "title": "Self-organization using dynamical synapses", "status": "Poster", "authors": "Vicen\u00e7 G\u00f3mez, Andreas Kaltenbrunner, Vicente L\u00f3pez, Hilbert J Kappen" }, { "title": "Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization", "status": "Spotlight", "authors": "Liu Yang, Rong Jin, Rahul Sukthankar" }, { "title": "Sequential effects: Superstition or rational behavior?", "status": "Spotlight", "authors": "Angela Yu, Jonathan D Cohen" }, { "title": "Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes", "status": "Oral", "authors": "Erik Sudderth, Michael Jordan" }, { "title": "Short-Term Depression in VLSI Stochastic Synapse", "status": "Poster", "authors": "Peng Xu, Timothy K Horiuchi, Pamela A Abshire" }, { "title": "Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms", "status": "Spotlight", "authors": "John W Roberts, Russ Tedrake" }, { "title": "Simple Local Models for Complex Dynamical Systems", "status": "Oral", "authors": "Erik Talvitie, Satinder Singh" }, { "title": "Skill Characterization Based on Betweenness", "status": "Poster", "authors": "\u00d6zg\u00fcr \u015eim\u015fek, Andrew G Barto" }, { "title": "Sparse Convolved Gaussian Processes for Multi-ouptut Regression", "status": "Poster", "authors": "Mauricio A Alvarez, Neil D Lawrence" }, { "title": "Sparse Online Learning via Truncated Gradient", "status": "Spotlight", "authors": "John Langford, Lihong Li, Tong Zhang" }, { "title": "Sparse Signal Recovery Using Markov Random Fields", "status": "Spotlight", "authors": "Volkan Cevher, Marco F Duarte, Chinmay Hegde, Richard Baraniuk" }, { "title": "Sparse probabilistic projections", "status": "Spotlight", "authors": "Cedric Archambeau, Francis Bach" }, { "title": "Sparsity of SVMs that use the epsilon-insensitive loss", "status": "Poster", "authors": "Ingo Steinwart, Andreas Christmann" }, { "title": "Spectral Clustering with Perturbed Data", "status": "Spotlight", "authors": "Ling Huang, Donghui Yan, Michael Jordan, Nina Taft" }, { "title": "Spectral Hashing", "status": "Poster", "authors": "Yair Weiss, Antonio Torralba, Rob Fergus" }, { "title": "Stochastic Relational Models for Large-scale Dyadic Data using MCMC", "status": "Spotlight", "authors": "Shenghuo Zhu, Kai Yu, Yihong Gong" }, { "title": "Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning", "status": "Oral", "authors": "Gediminas Luksys, Carmen Sandi, Wulfram Gerstner" }, { "title": "Structure Learning in Human Sequential Decision-Making", "status": "Poster", "authors": "Daniel Acuna, Paul R Schrater" }, { "title": "Structured ranking learning using cumulative distribution networks", "status": "Poster", "authors": "Jim C Huang, Brendan J Frey" }, { "title": "Supervised Bipartite Graph Inference", "status": "Spotlight", "authors": "Yoshihiro Yamanishi" }, { "title": "Supervised Exponential Family Principal Component Analysis via Convex Optimizatio", "status": "Poster", "authors": "Yuhong Guo" }, { "title": "Suppport Vector Machines with a Reject Option", "status": "Poster", "authors": "Yves Grandvalet, Joseph Keshet, Alain Rakotomamonjy, Stephane Canu" }, { "title": "Syntactic Topic Models", "status": "Spotlight", "authors": "Jordan Boyd-Graber, David Blei" }, { "title": "Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation", "status": "Poster", "authors": "Dotan Di Castro, Dima Volkinshtein, Ron Meir" }, { "title": "Temporal Dynamics of Cognitive Control", "status": "Poster", "authors": "Jeremy Reynolds, Michael Mozer" }, { "title": "The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction", "status": "Spotlight", "authors": "Fabian H Sinz, Matthias Bethge" }, { "title": "The Gaussian Process Density Sampler", "status": "Spotlight", "authors": "Ryan Adams, Iain Murray, David MacKay" }, { "title": "The Infinite Factorial Hidden Markov Model", "status": "Spotlight", "authors": "Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani" }, { "title": "The Mondrian Process", "status": "Oral", "authors": "Daniel Roy, Yee Whye Teh" }, { "title": "The Recurrent Temporal Restricted Boltzmann Machine", "status": "Poster", "authors": "Ilya Sutskever, Geoffrey E Hinton, Graham Taylor" }, { "title": "Theory of matching pursuit", "status": "Poster", "authors": "Zakria Hussain, John Shawe-Taylor" }, { "title": "Tighter Bounds for Structured Estimation", "status": "Poster", "authors": "Olivier Chapelle, Chuong B Do, Quoc V Le, Alexander Smola, Choon Hui Teo" }, { "title": "Tracking Changing Stimuli in Continuous Attractor Neural Networks", "status": "Poster", "authors": "Chi Chung Fung, K. Y. Michael Wong, Si Wu" }, { "title": "Transfer Learning by Distribution Matching for Targeted Advertising", "status": "Poster", "authors": "Steffen Bickel, Christoph Sawade, Tobias Scheffer" }, { "title": "Translated Learning", "status": "Spotlight", "authors": "Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, Yong Yu" }, { "title": "Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing", "status": "Poster", "authors": "Moritz Grosse-Wentrup" }, { "title": "Unifying the Sensory and Motor Components of Sensorimotor Adaptation", "status": "Spotlight", "authors": "Adrian M Haith, Carl Jackson, R Chris Miall, Sethu Vijayakumar" }, { "title": "Unlabeled data: Now it helps, now it doesn't", "status": "Oral", "authors": "Aarti Singh, Rob Nowak, Jerry Zhu" }, { "title": "Unsupervised Bayesian Parameter Estimation for Probabilistic Grammars", "status": "Poster", "authors": "Shay Cohen, Kevin Gimpel, Noah A Smith" }, { "title": "Unsupervised Learning of Visual Sense Models for Polysemous Words", "status": "Spotlight", "authors": "Kate Saenko, Trevor Darrell" }, { "title": "Using Bayesian Dynamical Systems for Motion Template Libraries", "status": "Poster", "authors": "Silvia Chiappa, Jens Kober, Jan Peters" }, { "title": "Using matrices to model symbolic relationship", "status": "Spotlight", "authors": "Ilya Sutskever, Geoffrey E Hinton" }, { "title": "Variational Mixture of Gaussian Process Experts", "status": "Poster", "authors": "Chao Yuan, Claus Neubauer" }, { "title": "Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning", "status": "Spotlight", "authors": "ali rahimi, Benjamin Recht" } ]