paperlists / nips /nips2008.json
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[
{
"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"
}
]