[ { "title": "A Bayesian Framework for Cross-Situational Word-Learning", "status": "Spotlight", "authors": "Michael C Frank, Noah Goodman, Josh Tenenbaum" }, { "title": "A Bayesian LDA-based model for semi-supervised part-of-speech tagging", "status": "Spotlight", "authors": "Kristina N Toutanova, Mark Johnson" }, { "title": "A Bayesian Model of Conditioned Perception", "status": "Poster", "authors": "Alan A Stocker, Eero Simoncelli" }, { "title": "A Constraint Generation Approach to Learning Stable Linear Dynamical Systems", "status": "Oral", "authors": "Sajid M Siddiqi, Byron Boots, Geoffrey Gordon" }, { "title": "A General Boosting Method and its Application to Learning Ranking Functions for Web Search", "status": "Poster", "authors": "Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun" }, { "title": "A Kernel Statistical Test of Independence", "status": "Spotlight", "authors": "Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Sch\u00f6lkopf, Alexander Smola" }, { "title": "A Multiplicative Weights Algorithm for Apprenticeship Learning", "status": "Oral", "authors": "Umar Syed, Robert E Schapire" }, { "title": "A New View of Automatic Relevance Determination", "status": "Poster", "authors": "David P Wipf, Srikantan Nagarajan" }, { "title": "A Probabilistic Approach to Language Change", "status": "Poster", "authors": "Alexandre Bouchard-C\u00f4t\u00e9, Percy Liang, Tom Griffiths, Dan Klein" }, { "title": "A Randomized Algorithm for Large Scale Support Vector Learning", "status": "Poster", "authors": "Krishnan S Kumar, Chiranjib Bhattacharyya, Ramesh Hariharan" }, { "title": "A Risk Minimization Principle for a Class of Parzen Estimators", "status": "Poster", "authors": "Kristiaan Pelckmans, Johan Suykens, Bart De Moor" }, { "title": "A Spectral Regularization Framework for Multi-Task Structure Learning", "status": "Spotlight", "authors": "Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying" }, { "title": "A Unified Model for Content Based Image Suggestion and Feature Selection", "status": "Poster", "authors": "Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila" }, { "title": "A Unified Near-Optimal Estimator For Dimension Reduction in $l_\\alpha$ ($0<\\alpha\\leq 2$) Using Sta", "status": "Poster", "authors": "Ping Li, Trevor Hastie" }, { "title": "A complexity measure for intuitive theories", "status": "Poster", "authors": "Charles Kemp, Noah Goodman, Josh Tenenbaum" }, { "title": "A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses", "status": "Poster", "authors": "Massimiliano Giulioni, mario pannunzi, Davide Badoni, Vittorio Dante, paolo del giudice" }, { "title": "A general agnostic active learning algorithm", "status": "Spotlight", "authors": "Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni" }, { "title": "A learning framework for nearest neighbor search", "status": "Poster", "authors": "Lawrence Cayton, Sanjoy Dasgupta" }, { "title": "A neural network implementing optimal state estimation based on dynamic spike train decoding", "status": "Oral", "authors": "Omer Bobrowski, Ron Meir, Shy Shoham, Yonina Eldar" }, { "title": "A probabilistic model for generating realistic lip movements from speech", "status": "Oral", "authors": "Gwenn Englebienne, Tim Cootes, Magnus Rattray" }, { "title": "Active Preference Learning with Discrete Choice Data", "status": "Poster", "authors": "Eric Brochu, Nando de Freitas, Abhijeet Ghosh" }, { "title": "Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis", "status": "Poster", "authors": "Venkat Chandrasekaran, Jason K Johnson, Alan S Willsky" }, { "title": "Adaptive Online Gradient Descent", "status": "Oral", "authors": "Peter Bartlett, Elad Hazan, Sasha Rakhlin" }, { "title": "Agreement-Based Learning", "status": "Spotlight", "authors": "Percy Liang, Dan Klein, Michael Jordan" }, { "title": "An Analysis of Convex Relaxations for MAP Estimation", "status": "Oral", "authors": "Pawan K Mudigonda, Vladimir Kolmogorov, Philip Torr" }, { "title": "An Analysis of Inference with the Universum", "status": "Spotlight", "authors": "Fabian H Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Sch\u00f6lkopf" }, { "title": "An in-silico Neural Model of Dynamic Routing through Neuronal Coherence", "status": "Spotlight", "authors": "Devarajan Sridharan, Brian Percival, john arthur, Kwabena A Boahen" }, { "title": "An online Hebbian learning rule that performs Independent Component Analysis", "status": "Poster", "authors": "Claudia Clopath, Andr\u00e9 Longtin, Wulfram Gerstner" }, { "title": "Anytime Induction of Cost-sensitive Trees", "status": "Spotlight", "authors": "Saher Esmeir, Shaul Markovitch" }, { "title": "Augmented Functional Time Series Representation and Forecasting with Gaussian Processes", "status": "Spotlight", "authors": "Nicolas Chapados, Yoshua Bengio" }, { "title": "Automatic Generation of Social Tags for Music Recommendation", "status": "Poster", "authors": "Douglas Eck, Paul Lamere, Thierry Bertin-Mahieux, Stephen J Green" }, { "title": "Bayes-Adaptive POMDPs", "status": "Spotlight", "authors": "Stephane Ross, Brahim Chaib-draa, Joelle Pineau" }, { "title": "Bayesian Agglomerative Clustering with Coalescents", "status": "Oral", "authors": "Yee Whye Teh, Hal Daum\u00e9 III, Daniel Roy" }, { "title": "Bayesian Inference for Spiking Neuron Models with a Sparsity Prior", "status": "Oral", "authors": "Sebastian Gerwinn, Jakob H Macke, Matthias Seeger, Matthias Bethge" }, { "title": "Bayesian Multi-View Learning", "status": "Spotlight", "authors": "Shipeng Yu, Balaji R Krishnapuram, Romer E Rosales, Harald Steck, R. Bharat Rao" }, { "title": "Bayesian Policy Learning with Trans-Dimensional MCMC", "status": "Spotlight", "authors": "Matthew Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra" }, { "title": "Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms", "status": "Poster", "authors": "Dominik M Endres, Mike Oram, Johannes E Schindelin, Peter Foldiak" }, { "title": "Better than least squares: comparison of objective functions for estimating linear-nonlinear models", "status": "Spotlight", "authors": "Tatyana Sharpee" }, { "title": "Blind channel identification for speech dereverberation using l1-norm sparse learning", "status": "Oral", "authors": "Yuanqing Lin, Jingdong Chen, Youngmoo E Kim, Daniel Lee" }, { "title": "Boosting Algorithms for Maximizing the Soft Margin", "status": "Spotlight", "authors": "Manfred K. Warmuth, Karen Glocer, Gunnar R\u00e4tsch" }, { "title": "Boosting the Area under the ROC Curve", "status": "Spotlight", "authors": "Phil Long, Rocco A Servedio" }, { "title": "Bundle Methods for Machine Learning", "status": "Spotlight", "authors": "Alexander Smola, Vishwanathan S V N, Quoc V Le" }, { "title": "COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking", "status": "Spotlight", "authors": "Markus Weimer, Alexandros Karatzoglou, Quoc V Le, Alexander Smola" }, { "title": "CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation", "status": "Poster", "authors": "Luis E Ortiz" }, { "title": "Catching Change-points with Lasso", "status": "Poster", "authors": "Zaid Harchaoui, C\u00e9line L\u00e9vy-Leduc" }, { "title": "Catching Up Faster in Bayesian Model Selection and Model Averaging", "status": "Spotlight", "authors": "Tim van Erven, Peter Gr\u00fcnwald, Steven de Rooij" }, { "title": "Classification via Minimum Incremental Coding Length (MICL)", "status": "Spotlight", "authors": "John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-Yeung Shum" }, { "title": "Cluster Stability for Finite Samples", "status": "Oral", "authors": "Ohad Shamir, Naftali Tishby" }, { "title": "Collapsed Variational Inference for HDP", "status": "Spotlight", "authors": "Yee Whye Teh, Kenichi Kurihara, Max Welling" }, { "title": "Collective Inference on Markov Models for Modeling Bird Migration", "status": "Spotlight", "authors": "Daniel Sheldon, M.A. Saleh Elmohamed, Dexter Kozen" }, { "title": "Colored Maximum Variance Unfolding", "status": "Oral", "authors": "Le Song, Alexander Smola, Karsten Borgwardt, Arthur Gretton" }, { "title": "Combined discriminative and generative articulated pose and non-rigid shape estimation", "status": "Spotlight", "authors": "Leonid Sigal, Alexandru Balan, Michael J Black" }, { "title": "Comparing Bayesian models for multisensory cue combination without mandatory integration", "status": "Spotlight", "authors": "Ulrik Beierholm, Konrad P Kording, Ladan Shams, Wei Ji Ma" }, { "title": "Competition Adds Complexity", "status": "Poster", "authors": "Judy Goldsmith, Martin Mundhenk" }, { "title": "Compressed Regression", "status": "Poster", "authors": "Shuheng Zhou, John Lafferty, Larry Wasserman" }, { "title": "Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria", "status": "Poster", "authors": "Elad Hazan, Satyen Kale" }, { "title": "Computing Robust Counter-Strategies", "status": "Poster", "authors": "Michael Johanson, Martin A Zinkevich, Michael Bowling" }, { "title": "Configuration Estimates Improve Pedestrian Finding", "status": "Poster", "authors": "Duan D Tran, David A Forsyth" }, { "title": "Congruence between model and human attention reveals unique signatures of critical visual events", "status": "Spotlight", "authors": "Robert J Peters, Laurent Itti" }, { "title": "Consistent Minimization of Clustering Objective Functions", "status": "Spotlight", "authors": "Ulrike von Luxburg, Sebastien Bubeck, Stefanie S Jegelka, Michael Kaufmann" }, { "title": "Continuous Time Particle Filtering for fMRI", "status": "Poster", "authors": "Lawrence Murray, Amos Storkey" }, { "title": "Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons", "status": "Spotlight", "authors": "Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, Jean-Jacques Slotine, Rodney J Douglas" }, { "title": "Convex Clustering with Exemplar-Based Models", "status": "Spotlight", "authors": "Danial Lashkari, Polina Golland" }, { "title": "Convex Learning with Invariances", "status": "Spotlight", "authors": "Choon Hui Teo, Amir Globerson, Sam T Roweis, Alexander Smola" }, { "title": "Convex Relaxations of EM", "status": "Poster", "authors": "Yuhong Guo, Dale Schuurmans" }, { "title": "Cooled and Relaxed Survey Propagation for MRFs", "status": "Spotlight", "authors": "Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh" }, { "title": "DIFFRAC: a discriminative and flexible framework for clustering", "status": "Poster", "authors": "Francis Bach, Zaid Harchaoui" }, { "title": "Density Estimation under Independent Similarly Distributed Sampling Assumptions", "status": "Spotlight", "authors": "Tony Jebara, Yingbo Song, Kapil Thadani" }, { "title": "Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation", "status": "Poster", "authors": "Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Buenau, Motoaki Kawanabe" }, { "title": "Discovering Weakly-Interacting Factors in a Complex Stochastic Process", "status": "Spotlight", "authors": "Charlie Frogner, Avi Pfeffer" }, { "title": "Discriminative Batch Mode Active Learning", "status": "Poster", "authors": "Yuhong Guo, Dale Schuurmans" }, { "title": "Discriminative K-means for Clustering", "status": "Poster", "authors": "Jieping Ye, Zheng Zhao, Mingrui Wu" }, { "title": "Discriminative Keyword Selection Using Support Vector Machines", "status": "Poster", "authors": "Fred Richardson, William Campbell" }, { "title": "Discriminative Log-Linear Grammars with Latent Variables", "status": "Spotlight", "authors": "Slav Petrov, Dan Klein" }, { "title": "Distributed Inference for Latent Dirichlet Allocation", "status": "Spotlight", "authors": "David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling" }, { "title": "EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection", "status": "Poster", "authors": "Pierre W Ferrez, Jos\u00e9 del R. Mill\u00e1n" }, { "title": "Efficient Bayesian Inference for Dynamically Changing Graphs", "status": "Spotlight", "authors": "Ozgur Sumer, Umut A Acar, Alexander T. Ihler, Ramgopal R. Mettu" }, { "title": "Efficient Convex Relaxation for Transductive Support Vector Machine", "status": "Poster", "authors": "Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R Lyu" }, { "title": "Efficient Inference forDistributions on Permutations", "status": "Oral", "authors": "Jonathan Huang, Carlos Guestrin, Leonidas Guibas" }, { "title": "Efficient Principled Learning of Thin Junction Trees", "status": "Poster", "authors": "Anton Chechetka, Carlos Guestrin" }, { "title": "Efficient multiple hyperparameter learning for log-linear models", "status": "Poster", "authors": "Chuong B Do, Chuan-Sheng Foo, Andrew Y Ng" }, { "title": "Ensemble Clustering using Semidefinite Programming", "status": "Spotlight", "authors": "Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu" }, { "title": "Estimating disparity with confidence from energy neurons", "status": "Poster", "authors": "Eric Kong-Chau Tsang, Bertram E Shi" }, { "title": "Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization", "status": "Spotlight", "authors": "XuanLong Nguyen, Martin J Wainwright, Michael Jordan" }, { "title": "Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks", "status": "Poster", "authors": "Ben Carterette, Rosie Jones" }, { "title": "Expectation Maximization, Posterior Constraints, and Statistical Alignment", "status": "Spotlight", "authors": "Kuzman Ganchev, Joao V Graca, Ben Taskar" }, { "title": "Experience-Guided Search: A Theory of Attentional Control", "status": "Spotlight", "authors": "Michael Mozer, David Baldwin" }, { "title": "Exponential Family Predictive Representations of State", "status": "Oral", "authors": "David Wingate, Satinder Singh" }, { "title": "Extending position/phase-shift tuning to motion energy neurons improves velocity discrimination", "status": "Spotlight", "authors": "Stanley, Yiu Man LAM, Bertram E Shi" }, { "title": "Fast Variational Inference for Large-scale Internet Diagnosis", "status": "Poster", "authors": "John C Platt, Emre Kiciman, David A Maltz" }, { "title": "Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition", "status": "Poster", "authors": "Maryam Mahdaviani, Tanzeem Choudhury" }, { "title": "FilterBoost: Regression and Classification on Large Datasets", "status": "Oral", "authors": "Joseph K Bradley, Robert E Schapire" }, { "title": "Fitted Q-iteration in continuous action-space MDPs", "status": "Poster", "authors": "Remi Munos, Andr\u00e1s Antos, Csaba Szepesvari" }, { "title": "Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations", "status": "Poster", "authors": "Amir Globerson, Tommi Jaakkola" }, { "title": "GRIFT: A graphical model for inferring visual classification features from human data", "status": "Poster", "authors": "Michael G Ross, Andrew Cohen" }, { "title": "Gaussian Process Models for Link Analysis and Transfer Learning", "status": "Poster", "authors": "Kai Yu, Wei Chu" }, { "title": "HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation", "status": "Poster", "authors": "Bing Zhao, Eric Xing" }, { "title": "Heterogeneous Component Analysis", "status": "Spotlight", "authors": "Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert M\u00fcller, Shin Ishii" }, { "title": "Hidden Common Cause Relations in Relational Learning", "status": "Spotlight", "authors": "Ricardo Silva, Wei Chu, Zoubin Ghahramani" }, { "title": "Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion", "status": "Spotlight", "authors": "J. Zico Kolter, Pieter Abbeel, Andrew Y Ng" }, { "title": "Hierarchical Penalization", "status": "Spotlight", "authors": "Marie Szafranski, Yves Grandvalet, Pierre Morizet-Mahoudeaux" }, { "title": "Hippocampal Contributions to Control: The Third Way", "status": "Oral", "authors": "Mate Lengyel, Peter Dayan" }, { "title": "How SVMs can estimate quantiles and the median", "status": "Spotlight", "authors": "Andreas Christmann, Ingo Steinwart" }, { "title": "Incremental Natural Actor-Critic Algorithms", "status": "Spotlight", "authors": "Shalabh Bhatnagar, Richard Sutton, Mohammad Ghavamzadeh, Mark P Lee" }, { "title": "Inferring Elapsed Time from Stochastic Neural Processes", "status": "Oral", "authors": "Misha B Ahrens, Maneesh Sahani" }, { "title": "Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes", "status": "Spotlight", "authors": "John P Cunningham, Byron M Yu, Krishna V Shenoy, Maneesh Sahani" }, { "title": "Infinite State Bayes-Nets for Structured Domains", "status": "Spotlight", "authors": "Max Welling, Ian Porteous, Evgeniy Bart" }, { "title": "Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing", "status": "Spotlight", "authors": "Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Vadim Nikulin, Klaus-Robert M\u00fcller" }, { "title": "Iterative Non-linear Dimensionality Reduction with Manifold Sculpting", "status": "Spotlight", "authors": "Michael S Gashler, Dan Ventura, Tony Martinez" }, { "title": "Kernel Measures of Conditional Dependence", "status": "Spotlight", "authors": "Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, Bernhard Sch\u00f6lkopf" }, { "title": "Kernels on Attributed Pointsets with Applications", "status": "Poster", "authors": "Mehul Parsana, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, K. R. Ramakrishnan" }, { "title": "Learning Bounds for Domain Adaptation", "status": "Poster", "authors": "John Blitzer, Yacov Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan" }, { "title": "Learning Horizontal Connections in a Sparse Coding Model of Natural Images", "status": "Poster", "authors": "Pierre Garrigues, Bruno Olshausen" }, { "title": "Learning Monotonic Transformations for Classification", "status": "Spotlight", "authors": "Andrew G Howard, Tony Jebara" }, { "title": "Learning Visual Attributes", "status": "Spotlight", "authors": "Vittorio Ferrari, Andrew Zisserman" }, { "title": "Learning the 2-D Topology of Images", "status": "Poster", "authors": "Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Bal\u00e1zs K\u00e9gl" }, { "title": "Learning the structure of manifolds using random projections", "status": "Poster", "authors": "Yoav S Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma" }, { "title": "Learning to classify complex patterns using a VLSI network of spiking neurons", "status": "Oral", "authors": "Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi" }, { "title": "Learning with Transformation Invariant Kernels", "status": "Spotlight", "authors": "Christian Walder, Olivier Chapelle" }, { "title": "Learning with Tree-Averaged Densities and Distributions", "status": "Oral", "authors": "Sergey Kirshner" }, { "title": "Linear programming analysis of loopy belief propagation for weighted matching", "status": "Poster", "authors": "Sujay Sanghavi, Dmitry Malioutov, Alan S Willsky" }, { "title": "Local Algorithms for Approximate Inference in Minor-Excluded Graphs", "status": "Poster", "authors": "Kyomin Jung, Devavrat Shah" }, { "title": "Locality and low-dimensions in the prediction of natural experience from fMRI", "status": "Poster", "authors": "Francois G Meyer, Greg Stephens" }, { "title": "Loop Series and Bethe Variational Bounds in Attractive Graphical Models", "status": "Poster", "authors": "Erik Sudderth, Martin J Wainwright, Alan S Willsky" }, { "title": "Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning", "status": "Spotlight", "authors": "Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O Kephart, David Levine, Freeman Rawson, Charles Lefurgy" }, { "title": "Markov Chain Monte Carlo with People", "status": "Oral", "authors": "Adam Sanborn, Tom Griffiths" }, { "title": "McRank: Learning to Rank Using Multiple Classification and Gradient Boosting", "status": "Spotlight", "authors": "Ping Li, Chris J Burges, Qiang Wu" }, { "title": "Measuring Neural Synchrony by Message Passing", "status": "Spotlight", "authors": "Justin Dauwels, Fran\u00e7ois Vialatte, Tomasz M Rutkowski, Andrzej S CICHOCKI" }, { "title": "Message Passing for Max-weight Independent Set", "status": "Spotlight", "authors": "Sujay Sanghavi, Devavrat Shah, Alan S Willsky" }, { "title": "Mining Internet-Scale Software Repositories", "status": "Poster", "authors": "Erik Linstead, Paul Rigor, Ph.D., sushil bajracharya, cristina lopes, Pierre Baldi" }, { "title": "Modeling Natural Sounds with Modulation Cascade Processes", "status": "Poster", "authors": "Richard Turner, Maneesh Sahani" }, { "title": "Modeling homophily and stochastic equivalence in symmetric relational data", "status": "Poster", "authors": "Peter Hoff" }, { "title": "Modeling image patches with a directed hierarchy of Markov random fields", "status": "Poster", "authors": "Simon Osindero, Geoffrey E Hinton" }, { "title": "Modelling motion primitives and their timing in biologically executed movements", "status": "Poster", "authors": "Ben H Williams, Marc Toussaint, Amos Storkey" }, { "title": "Multi-Stage Monte Carlo Approximation for Fast Generalized Data Summations", "status": "Poster", "authors": "Michael Holmes, Alexander Gray, Charles Isbell" }, { "title": "Multi-Task Learning via Conic Programming", "status": "Poster", "authors": "Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai" }, { "title": "Multi-task Gaussian Process Prediction", "status": "Spotlight", "authors": "Edwin Bonilla, Kian Ming A Chai, Chris Williams" }, { "title": "Multiple Instance Active Learning", "status": "Poster", "authors": "Burr Settles, Mark Craven, Soumya Ray" }, { "title": "Multiple-Instance Pruning For Learning Efficient Cascade Detectors", "status": "Poster", "authors": "Cha Zhang, Paul Viola" }, { "title": "Near-Maximum Entropy Models for Binary Neural Representations of Natural Images", "status": "Spotlight", "authors": "Matthias Bethge, Philipp Berens" }, { "title": "Nearest-Neighbor-Based Active Learning for Rare Category Detection", "status": "Spotlight", "authors": "Jingrui He, Jaime Carbonell" }, { "title": "Neural characterization in partially observed populations of spiking neurons", "status": "Oral", "authors": "Jonathan W Pillow, Peter E Latham" }, { "title": "New Outer Bounds on the Marginal Polytope", "status": "Oral", "authors": "David Sontag, Tommi Jaakkola" }, { "title": "Non-parametric Modeling of Partially Ranked Data", "status": "Oral", "authors": "Guy Lebanon, Yi Mao" }, { "title": "Object Recognition by Scene Alignment", "status": "Spotlight", "authors": "Bryan C Russell, Antonio Torralba, Ce Liu, Rob Fergus, William Freeman" }, { "title": "On Ranking in Survival Analysis: Bounds on the Concordance Index", "status": "Poster", "authors": "Vikas C Raykar, Harald Steck, Balaji R Krishnapuram, Cary Dehing-Oberije, Philippe Lambin" }, { "title": "On Sparsity and Overcompleteness in Image Models", "status": "Poster", "authors": "Pietro Berkes, Richard Turner, Maneesh Sahani" }, { "title": "On higher-order perceptron algorithms", "status": "Poster", "authors": "Claudio Gentile, Fabio Vitale, Cristian Brotto" }, { "title": "One-Pass Boosting", "status": "Spotlight", "authors": "Zafer Barutcuoglu, Phil Long, Rocco A Servedio" }, { "title": "Online Linear Regression and Its Application to Model-Based Reinforcement Learning", "status": "Poster", "authors": "Alexander L Strehl, Michael L Littman" }, { "title": "Optimal ROC Curve for a Combination of Classifiers", "status": "Poster", "authors": "Marco Barreno, Alvaro A C\u00e1rdenas, Doug Tygar" }, { "title": "Optimal models of sound localization by barn owls", "status": "Poster", "authors": "Brian J Fischer" }, { "title": "Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs", "status": "Poster", "authors": "Ambuj Tewari, Peter Bartlett" }, { "title": "Parallelizing Support Vector Machines on Distributed Computers", "status": "Poster", "authors": "Edward Y Chang, Kaihua Zhu, Hao Wang, hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui" }, { "title": "People Tracking with the Laplacian Eigenmaps Latent Variable Model", "status": "Poster", "authors": "Zhengdong Lu, Miguel A. Carreira-Perpinan, Cristian Sminchisescu" }, { "title": "Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression", "status": "Poster", "authors": "Sennay Ghebreab, Arnold Smeulders, Pieter Adriaans" }, { "title": "Predicting human gaze using low-level saliency combined with face detection", "status": "Poster", "authors": "Moran Cerf, Jonathan Harel, Wolfgang Einh\u00e4user, Christof Koch" }, { "title": "Predictive Matrix-Variate t Models", "status": "Poster", "authors": "Shenghuo Zhu, Kai Yu, Yihong Gong" }, { "title": "Privacy-Preserving Belief Propagation and Sampling", "status": "Spotlight", "authors": "Michael Kearns, Jinsong Tan, Jennifer Wortman Vaughan" }, { "title": "Probabilistic Matrix Factorization", "status": "Oral", "authors": "Russ Salakhutdinov, Andriy Mnih" }, { "title": "Progressive mixture rules are deviation suboptimal", "status": "Poster", "authors": "Jean-Yves Audibert" }, { "title": "Random Features for Large-Scale Kernel Machines", "status": "Spotlight", "authors": "ali rahimi, Benjamin Recht" }, { "title": "Random Projections for Manifold Learning", "status": "Poster", "authors": "Chinmay Hegde, Richard Baraniuk" }, { "title": "Random Sampling of States in Dynamic Programming", "status": "Poster", "authors": "Chris Atkeson, Benjamin Stephens" }, { "title": "Rapid Inference on a novel AND/OR graph: Detection, Segmentation and Parsing of Articulated Deformable Objects in Cluttered Backgrounds", "status": "Poster", "authors": "Yuanhao Chen, Long Zhu, Chenxi Lin, Alan Yuille, Hongjiang Zhang" }, { "title": "Receding Horizon Differential Dynamic Programming", "status": "Poster", "authors": "Yuval Tassa, Tom Erez, Bill Smart" }, { "title": "Receptive Fields without Spike-Triggering", "status": "Poster", "authors": "Jakob H Macke, G\u00fcnther Zeck, Matthias Bethge" }, { "title": "Regret Minimization in Games with Incomplete Information", "status": "Spotlight", "authors": "Martin A Zinkevich, Michael Johanson, Michael Bowling, Carmelo Piccione" }, { "title": "Regularized Boost for Semi-Supervised Learning", "status": "Poster", "authors": "Ke Chen, Shihai Wang" }, { "title": "Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach", "status": "Poster", "authors": "Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Tjeerd M Dijkstra, Tom Heskes" }, { "title": "Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods", "status": "Spotlight", "authors": "Alessandro Lazaric, Marcello Restelli, Andrea Bonarini" }, { "title": "Resampling Methods for Protein Structure Prediction with Rosetta", "status": "Spotlight", "authors": "Ben Blum, David Baker, Michael Jordan, Philip Bradley, Rhiju Das, David Kim" }, { "title": "Retrieved context and the discovery of semantic structure", "status": "Spotlight", "authors": "Vinayak Rao, Marc Howard" }, { "title": "Robust Regression with Twinned Gaussian Processes", "status": "Poster", "authors": "Andrew Naish-Guzman, Sean B Holden" }, { "title": "Scan Strategies for Meteorological Radars", "status": "Poster", "authors": "Victoria Manfredi, Jim Kurose" }, { "title": "Scene Segmentation with CRFs Learned from Partially Labeled Images", "status": "Oral", "authors": "Jakob Verbeek, Bill Triggs" }, { "title": "Second Order Bilinear Discriminant Analysis for single trial EEG analysis", "status": "Poster", "authors": "Christoforos Christoforou, Paul Sajda, Lucas C Parra" }, { "title": "Selecting Observations against Adversarial Objectives", "status": "Spotlight", "authors": "Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta" }, { "title": "Semi-Supervised Multitask Learning", "status": "Spotlight", "authors": "Qiuhua Liu, Xuejun Liao, Lawrence Carin" }, { "title": "Sequential Hypothesis Testing under Stochastic Deadlines", "status": "Spotlight", "authors": "Peter Frazier, Angela Yu" }, { "title": "Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons", "status": "Poster", "authors": "Lars Buesing, Wolfgang Maass" }, { "title": "Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains", "status": "Spotlight", "authors": "Andrea Lecchini-Visintini, John Lygeros, Jan Maciejowski" }, { "title": "SpAM: Sparse Additive Models", "status": "Spotlight", "authors": "Pradeep Ravikumar, Han Liu, John Lafferty, Larry Wasserman" }, { "title": "Sparse Feature Learning for Deep Belief Networks", "status": "Poster", "authors": "Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun" }, { "title": "Sparse Overcomplete Latent Variable Decomposition of Counts Data", "status": "Poster", "authors": "Madhusudana Shashanka, Bhiksha Raj, Paris Smaragdis" }, { "title": "Sparse deep belief net model for visual area V2", "status": "Poster", "authors": "Honglak Lee, Ekanadham Chaitanya, Andrew Y Ng" }, { "title": "Spatial Latent Dirichlet Allocation", "status": "Poster", "authors": "Xiaogang Wang, Eric Grimson" }, { "title": "Stability Bounds for Non-i.i.d. Processes", "status": "Poster", "authors": "Mehryar Mohri, Afshin Rostamizadeh" }, { "title": "Stable Dual Dynamic Programming", "status": "Spotlight", "authors": "Tao Wang, Daniel Lizotte, Michael Bowling, Dale Schuurmans" }, { "title": "Statistical Analysis of Semi-Supervised Regression", "status": "Spotlight", "authors": "John Lafferty, Larry Wasserman" }, { "title": "Structured Learning with Approximate Inference", "status": "Spotlight", "authors": "Alex Kulesza, Fernando Pereira" }, { "title": "Subspace-Based Face Recognition in Analog VLSI", "status": "Spotlight", "authors": "Miguel E Figueroa, Gonzalo Carvajal, Waldo Valenzuela" }, { "title": "Supervised Topic Models", "status": "Poster", "authors": "David Blei, Jon McAuliffe" }, { "title": "Support Vector Machine Classification with Indefinite Kernels", "status": "Poster", "authors": "Ronny Luss, Alexandre d'Aspremont" }, { "title": "Temporal Difference with Eligibility Traces Derived from First Principles", "status": "Poster", "authors": "Marcus Hutter, Shane Legg" }, { "title": "Testing for Homogeneity with Kernel Fisher Discriminant Analysis", "status": "Poster", "authors": "Zaid Harchaoui, Francis Bach, Moulines Eric" }, { "title": "The Distribution Family of Similarity Distances", "status": "Poster", "authors": "Gertjan Burghouts, Arnold Smeulders, Jan-Mark Geusebroek" }, { "title": "The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information", "status": "Poster", "authors": "John Langford, Tong Zhang" }, { "title": "The Generalized FITC Approximation", "status": "Spotlight", "authors": "Andrew Naish-Guzman, Sean B Holden" }, { "title": "The Infinite Gamma-Poisson Feature Model", "status": "Poster", "authors": "Michalis Titsias" }, { "title": "The Infinite Markov Model", "status": "Oral", "authors": "Daichi Mochihashi, Eiichiro Sumita" }, { "title": "The Noisy-Logical Distribution and its Application to Causal Inference", "status": "Poster", "authors": "Alan Yuille, HongJing Lu" }, { "title": "The Price of Bandit Information for Online Optimization", "status": "Oral", "authors": "Varsha Dani, Thomas P Hayes, Sham M Kakade" }, { "title": "The Tradeoffs of Large Scale Learning", "status": "Poster", "authors": "Leon Bottou, Olivier Bousquet" }, { "title": "The Value of Labeled and Unlabeled Examples when the Model is Imperfect", "status": "Spotlight", "authors": "Kaushik Sinha, Mikhail Belkin" }, { "title": "The discriminant center-surround hypothesis for bottom-up saliency", "status": "Poster", "authors": "Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos" }, { "title": "The rat as particle filter", "status": "Spotlight", "authors": "Nathaniel D Daw, Aaron Courville" }, { "title": "Theoretical Analysis of Heuristic Search Methods for Online POMDPs", "status": "Poster", "authors": "Stephane Ross, Joelle Pineau, Brahim Chaib-draa" }, { "title": "Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity", "status": "Spotlight", "authors": "Robert Legenstein, Dejan Pecevski, Wolfgang Maass" }, { "title": "Topmoumoute Online Natural Gradient Algorithm", "status": "Poster", "authors": "Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua Bengio" }, { "title": "Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations", "status": "Spotlight", "authors": "M. M. H Mahmud, Sylvian Ray" }, { "title": "TrueSkill Through Time: Revisiting the History of Chess", "status": "Spotlight", "authors": "Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore K Graepel" }, { "title": "Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks", "status": "Poster", "authors": "Alex Graves, Santiago Fernandez, Marcus Liwicki, Horst Bunke, J\u00fcrgen Schmidhuber" }, { "title": "Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes", "status": "Poster", "authors": "Russ Salakhutdinov, Geoffrey E Hinton" }, { "title": "Variational Inference for Diffusion Processes", "status": "Poster", "authors": "Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor" }, { "title": "Variational inference for Markov jump processes", "status": "Poster", "authors": "Manfred Opper, Guido Sanguinetti" }, { "title": "What makes some POMDP problems easy to approximate?", "status": "Spotlight", "authors": "David Hsu, Wee Sun Lee, Nan Rong" } ]