nips/nips2006.json

[
    {
        "title": "A Bayesian Approach to Diffusion Models of Decision-Making and Response Time",
        "status": "Spotlight",
        "authors": "Michael D Lee, Ian Fuss, Daniel Navarro"
    },
    {
        "title": "A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation",
        "status": "Poster",
        "authors": "Yee Whye Teh, David Newman, Max Welling"
    },
    {
        "title": "A Hidden Markov Dirichlet Process Model for Genetic Recombination in Open Ancestral Space",
        "status": "Poster",
        "authors": "KyungAh Sohn, Eric Xing"
    },
    {
        "title": "A Humanlike Predictor of Facial Attractiveness",
        "status": "Spotlight",
        "authors": "Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel Cohen-Or, Eytan Ruppin"
    },
    {
        "title": "A Kernel Method for the Two-Sample-Problem",
        "status": "Poster",
        "authors": "Arthur Gretton, Karsten Borgwardt, Malte J Rasch, Bernhard Sch\u00f6lkopf, Alexander Smola"
    },
    {
        "title": "A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems",
        "status": "Poster",
        "authors": "Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida"
    },
    {
        "title": "A Local Learning Approach for Clustering",
        "status": "Poster",
        "authors": "Mingrui Wu, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "A Nonparametric Approach to Bottom-Up Visual Saliency",
        "status": "Poster",
        "authors": "Wolf Kienzle, Felix A Wichmann, Bernhard Sch\u00f6lkopf, Matthias Franz"
    },
    {
        "title": "A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments",
        "status": "Poster",
        "authors": "Daniel Navarro, Tom Griffiths"
    },
    {
        "title": "A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical",
        "status": "Poster",
        "authors": "David Barber, Bertrand Mesot"
    },
    {
        "title": "A PAC-Bayes Risk Bound for General Loss Functions",
        "status": "Poster",
        "authors": "Pascal Germain, Alexandre Lacasse, Francois Laviolette, Mario Marchand"
    },
    {
        "title": "A Probabilistic Algorithm Integrating Source Localization and Noise Suppression for MEG and EEG data",
        "status": "Poster",
        "authors": "Johanna M Zumer, Hagai Attias, Kensuke Sekihara, Srikantan Nagarajan"
    },
    {
        "title": "A Rate-Distortion Approach to Joint Pattern Alignment",
        "status": "Poster",
        "authors": "Andrea Vedaldi"
    },
    {
        "title": "A Scalable Machine Learning Approach to Go",
        "status": "Poster",
        "authors": "Lin Wu, Pierre Baldi"
    },
    {
        "title": "A Small World Threshold for Economic Network Formation",
        "status": "Poster",
        "authors": "Eyal Even-Dar, Michael Kearns"
    },
    {
        "title": "A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular St",
        "status": "Poster",
        "authors": "Oliver Williams"
    },
    {
        "title": "A Theory of Retinal Population Coding",
        "status": "Spotlight",
        "authors": "Eizaburo Doi, Michael S Lewicki"
    },
    {
        "title": "A recipe for optimizing a time-histogram",
        "status": "Spotlight",
        "authors": "Hideaki Shimazaki, Shigeru Shinomoto"
    },
    {
        "title": "A selective attention multi--chip system with dynamic synapses and spiking neurons",
        "status": "Poster",
        "authors": "Chiara Bartolozzi, Giacomo Indiveri"
    },
    {
        "title": "Accelerated Variational Dirichlet Process Mixtures",
        "status": "Spotlight",
        "authors": "Kenichi Kurihara, Max Welling, Nikos Vlassis"
    },
    {
        "title": "Active learning for misspecified generalized linear models",
        "status": "Poster",
        "authors": "Francis Bach"
    },
    {
        "title": "AdaBoost is Consistent",
        "status": "Poster",
        "authors": "Peter Bartlett, Mikhail Traskin"
    },
    {
        "title": "Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces",
        "status": "Poster",
        "authors": "Moritz Grosse-Wentrup, Klaus Gramann, Martin Buss"
    },
    {
        "title": "Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Mod",
        "status": "Poster",
        "authors": "Mark Johnson, Tom Griffiths, Sharon Goldwater"
    },
    {
        "title": "Aggregating Classification Accuracy through Time - Classifying Single Trial EEG",
        "status": "Poster",
        "authors": "Steven Lemm, Christin Sch\u00e4fer, Gabriel Curio"
    },
    {
        "title": "An Application of Reinforcement Learning to Aerobatic Helicopter Flight",
        "status": "Poster",
        "authors": "Pieter Abbeel, Adam P Coates, Andrew Y Ng, Morgan Quigley"
    },
    {
        "title": "An Approach to Bounded Rationality",
        "status": "Poster",
        "authors": "Eli Ben-Sasson, Adam T Kalai, Ehud Kalai"
    },
    {
        "title": "An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments",
        "status": "Poster",
        "authors": "Michael Mandel, Daniel P Ellis, Tony Jebara"
    },
    {
        "title": "An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models",
        "status": "Poster",
        "authors": "Sathiya Selvaraj Keerthi, Vikas Sindhwani, Olivier Chapelle"
    },
    {
        "title": "An Information Theoretic Framework for Eukaryotic Gradient Sensing",
        "status": "Poster",
        "authors": "Joseph Kimmel, Richard Salter, Peter Thomas"
    },
    {
        "title": "An Oracle Inequality for Clipped Regularized Risk Minimizers",
        "status": "Poster",
        "authors": "Ingo Steinwart, Don Hush, Clint Scovel"
    },
    {
        "title": "Analysis of Contour Motions",
        "status": "Poster",
        "authors": "Ce Liu, William Freeman, Edward Adelson"
    },
    {
        "title": "Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization",
        "status": "Spotlight",
        "authors": "David P Wipf, Rey R Ramirez, Jason A Palmer, Scott Makeig, Bhaskar Rao"
    },
    {
        "title": "Analysis of Representations for Domain Adaptation",
        "status": "Poster",
        "authors": "John Blitzer, Shai Ben-David, Yacov Crammer, Fernando Pereira"
    },
    {
        "title": "Approximate Correspondences in High Dimensions",
        "status": "Spotlight",
        "authors": "Kristen Grauman, Trevor Darrell"
    },
    {
        "title": "Approximate inference using planar graph decomposition",
        "status": "Poster",
        "authors": "Amir Globerson, Tommi Jaakkola"
    },
    {
        "title": "Attentional Processing on a Spike-Based VLSI Neural Network",
        "status": "Poster",
        "authors": "Yingxue Wang, Rodney J Douglas, Shih-Chii Liu"
    },
    {
        "title": "Attribute-efficient learning of linear threshold functions under unconcentrated distributions",
        "status": "Poster",
        "authors": "Phil Long, Rocco A Servedio"
    },
    {
        "title": "Automated Hierarchy Discovery for Planning in Partially Observable Domains",
        "status": "Poster",
        "authors": "Laurent Charlin, Pascal Poupart, Romy Shioda"
    },
    {
        "title": "Balanced Graph Matching",
        "status": "Poster",
        "authors": "Timothee Cour, Praveen Srinivasan, Jianbo Shi"
    },
    {
        "title": "Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure",
        "status": "Spotlight",
        "authors": "Jennifer Listgarten, Radford M Neal, Sam T Roweis, Rachel Puckrin, Sean Cutler"
    },
    {
        "title": "Bayesian Ensemble Learning",
        "status": "Poster",
        "authors": "Hugh Chipman, Edward George, Robert McCulloch"
    },
    {
        "title": "Bayesian Image Super-resolution, Continued",
        "status": "Spotlight",
        "authors": "Lyndsey C Pickup, David Capel, Stephen J Roberts, Andrew Zisserman"
    },
    {
        "title": "Bayesian Policy Gradient Algorithms",
        "status": "Spotlight",
        "authors": "Mohammad Ghavamzadeh, Yaakov Engel"
    },
    {
        "title": "Blind Motion Deblurring Using Image Statistics",
        "status": "Poster",
        "authors": "Anat Levin"
    },
    {
        "title": "Blind source separation for over-determined delayed mixtures",
        "status": "Poster",
        "authors": "Lars Omlor, Martin Giese"
    },
    {
        "title": "Boosting Structured Prediction for Imitation Learning",
        "status": "Poster",
        "authors": "Nathan D Ratliff, David M Bradley, Drew Bagnell, Joel Chestnutt"
    },
    {
        "title": "Branch and Bound for Semi-Supervised Support Vector Machines",
        "status": "Poster",
        "authors": "Olivier Chapelle, Vikas Sindhwani, Sathiya Selvaraj Keerthi"
    },
    {
        "title": "Causal inference in sensorimotor integration",
        "status": "Poster",
        "authors": "Konrad P Kording, Josh Tenenbaum"
    },
    {
        "title": "Chained Boosting",
        "status": "Poster",
        "authors": "Christian R Shelton, Wesley Huie"
    },
    {
        "title": "Clustering Under Prior Knowledge with Application to Image Segmentation",
        "status": "Poster",
        "authors": "Mario T Figueiredo, Dong Seon Cheng, Vittorio Murino"
    },
    {
        "title": "Clustering appearance and shape by learning jigsaws",
        "status": "Poster",
        "authors": "Anitha Kannan, John Winn, Carsten Rother"
    },
    {
        "title": "Combining causal and similarity-based reasoning",
        "status": "Poster",
        "authors": "Charles Kemp, Patrick Shafto, Allison Berke, Josh Tenenbaum"
    },
    {
        "title": "Comparative Gene Prediction using Conditional Random Fields",
        "status": "Poster",
        "authors": "Jade P Vinson, David DeCaprio, Stacey Luoma, James Galagan"
    },
    {
        "title": "Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees",
        "status": "Poster",
        "authors": "Konrad Rieck, Pavel Laskov, Soeren Sonnenburg"
    },
    {
        "title": "Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data",
        "status": "Poster",
        "authors": "Ping Li, Kenneth W Church, Trevor Hastie"
    },
    {
        "title": "Conditional mean field",
        "status": "Poster",
        "authors": "Peter Carbonetto, Nando de Freitas"
    },
    {
        "title": "Context Effects in Category Learning: An Investigation of Four Probabilistic Models",
        "status": "Poster",
        "authors": "Michael Mozer, Michael Jones, Michael Shettel"
    },
    {
        "title": "Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons",
        "status": "Spotlight",
        "authors": "Elisabetta Chicca, Giacomo Indiveri, Rodney J Douglas"
    },
    {
        "title": "Convergence of Laplacian Eigenmaps",
        "status": "Poster",
        "authors": "Mikhail Belkin, Partha Niyogi"
    },
    {
        "title": "Convex Repeated Games and Fenchel Duality",
        "status": "Spotlight",
        "authors": "Shai Shalev-Shwartz, Yoram Singer"
    },
    {
        "title": "Correcting Sample Selection Bias by Unlabeled Data",
        "status": "Spotlight",
        "authors": "Jiayuan Huang, Alexander Smola, Arthur Gretton, Karsten Borgwardt, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods",
        "status": "Poster",
        "authors": "Matthias Seeger"
    },
    {
        "title": "Data Integration for Classification Problems Employing Gaussian Process Priors",
        "status": "Poster",
        "authors": "Mark A Girolami, Mingjun Zhong"
    },
    {
        "title": "Denoising and Dimension Reduction in Feature Space",
        "status": "Poster",
        "authors": "Mikio L Braun, Joachim M Buhmann, Klaus-Robert M\u00fcller"
    },
    {
        "title": "Detecting Humans via Their Pose",
        "status": "Poster",
        "authors": "Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto"
    },
    {
        "title": "Differential Entropic Clustering of Multivariate Gaussians",
        "status": "Poster",
        "authors": "Jason V Davis, Inderjit Dhillon"
    },
    {
        "title": "Dirichlet-Enhanced Spam Filtering based on Biased Samples",
        "status": "Spotlight",
        "authors": "Steffen Bickel, Tobias Scheffer"
    },
    {
        "title": "Distributed Inference in Dynamical Systems",
        "status": "Poster",
        "authors": "Stanislav Funiak, Carlos Guestrin, Mark A Paskin, Rahul Sukthankar"
    },
    {
        "title": "Distributed PCA and Network Anomaly Detection",
        "status": "Poster",
        "authors": "Ling Huang, XuanLong Nguyen, Minos Garofalakis, Michael Jordan, Anthony D Joseph, Nina Taft"
    },
    {
        "title": "Doubly Stochastic Normalization for Spectral Clustering",
        "status": "Poster",
        "authors": "Ron Zass, Amnon Shashua"
    },
    {
        "title": "Dynamic Foreground/Background Extraction from Images and Videos using Random Patches",
        "status": "Poster",
        "authors": "Le Lu, Gregory D Hager"
    },
    {
        "title": "Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning",
        "status": "Poster",
        "authors": "Gediminas Luksys, Jeremie Knuesel, Denis Sheynikhovich, Carmen Sandi, Wulfram Gerstner"
    },
    {
        "title": "Efficient Learning of Sparse Representations with an Energy-Based Model",
        "status": "Spotlight",
        "authors": "Marc'Aurelio Ranzato, Christopher Poultney, Sumit Chopra, Yann LeCun"
    },
    {
        "title": "Efficient Methods for Privacy Preserving Classification",
        "status": "Poster",
        "authors": "JOHN HERSHEY, Moshe Butman"
    },
    {
        "title": "Efficient Structure Learning of Markov Networks using L1-Regularization",
        "status": "Poster",
        "authors": "Su-In Lee, Varun Ganapathi, Daphne Koller"
    },
    {
        "title": "Efficient sparse coding algorithms, end-stopping and nCRF surround suppression",
        "status": "Poster",
        "authors": "Honglak Lee, Alexis Battle, Raina Rajat, Andrew Y Ng"
    },
    {
        "title": "Emergence of conjunctive visual features by quadratic independent component analysis",
        "status": "Poster",
        "authors": "J.T. Lindgren, Aapo Hyv\u00e4rinen"
    },
    {
        "title": "Estimating Observation Functions in Dynamical Systems Using Unsupervised Regression",
        "status": "Poster",
        "authors": "ali rahimi, Benjamin Recht"
    },
    {
        "title": "Fast Computation of Graph Kernels",
        "status": "Poster",
        "authors": "Vishwanathan S V N, Karsten Borgwardt, Nic Schraudolph"
    },
    {
        "title": "Fast Iterative Kernel PCA",
        "status": "Poster",
        "authors": "Nic Schraudolph, Simon G\u00fcnter, Vishwanathan S V N"
    },
    {
        "title": "Fundamental Limitations of Spectral Clustering Methods",
        "status": "Poster",
        "authors": "Boaz Nadler, Meirav Galun"
    },
    {
        "title": "Game Theoretic Algorithms for Protein-DNA binding",
        "status": "Spotlight",
        "authors": "Luis Perez-Breva, Luis E Ortiz, Chen-Hsiang Yeang, Tommi Jaakkola"
    },
    {
        "title": "Gaussian Process Models for Discriminative Link Prediction",
        "status": "Poster",
        "authors": "Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu"
    },
    {
        "title": "Gaussian and Wishart Hyperkernels",
        "status": "Poster",
        "authors": "Risi Kondor, Tony Jebara"
    },
    {
        "title": "Generalized Maximum Margin Clustering and Unsupervised Kernel Learning",
        "status": "Poster",
        "authors": "Hamed Valizadegan, Rong Jin"
    },
    {
        "title": "Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space",
        "status": "Poster",
        "authors": "Wenye Li, Kin-Hong Lee, Kwong-Sak Leung"
    },
    {
        "title": "Geometric entropy minimization (GEM) for anomaly detection and localization",
        "status": "Poster",
        "authors": "Alfred Hero"
    },
    {
        "title": "Graph Regularization for Maximum Variance Unfolding with an Application to Sensor Localization",
        "status": "Poster",
        "authors": "Kilian Q Weinberger, Fei Sha, Qihui Zhu, Lawrence Saul"
    },
    {
        "title": "Graph-Based Visual Saliency",
        "status": "Poster",
        "authors": "Jonathan Harel, Christof Koch, Pietro Perona"
    },
    {
        "title": "Greedy Layer-Wise Training of Deep Networks",
        "status": "Poster",
        "authors": "Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle"
    },
    {
        "title": "Handling Advertisements of Unknown Quality in Search Advertising",
        "status": "Spotlight",
        "authors": "Sandeep Pandey, Christopher Olston"
    },
    {
        "title": "Hierarchical Dirichlet Processes with Random Effects",
        "status": "Poster",
        "authors": "Seyoung Kim, Padhraic Smyth"
    },
    {
        "title": "Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms",
        "status": "Poster",
        "authors": "Xinhua Zhang, Wee Sun Lee"
    },
    {
        "title": "Image Retrieval and Classification Using Local Distance Functions",
        "status": "Poster",
        "authors": "Andrea Frome, Yoram Singer, Jitendra Malik"
    },
    {
        "title": "Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions",
        "status": "Poster",
        "authors": "Christian Walder, Bernhard Sch\u00f6lkopf, Olivier Chapelle"
    },
    {
        "title": "Inducing Metric Violations in Human Similarity Judgements",
        "status": "Poster",
        "authors": "Julian Laub, Jakob H Macke, Klaus-Robert M\u00fcller, Felix A Wichmann"
    },
    {
        "title": "Inferring Graphical Model Structure using $\\ell_1$-Regularized Pseudo-Likelihood",
        "status": "Spotlight",
        "authors": "Martin J Wainwright, Pradeep Ravikumar, John Lafferty"
    },
    {
        "title": "Inferring Network Structure from Co-Occurrences",
        "status": "Poster",
        "authors": "Michael Rabbat, Mario T Figueiredo, Rob Nowak"
    },
    {
        "title": "Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons",
        "status": "Poster",
        "authors": "Stefan Klampfl, Robert Legenstein, Wolfgang Maass"
    },
    {
        "title": "Information Bottleneck for Non Co-Occurrence Data",
        "status": "Poster",
        "authors": "Yevgeny Seldin, Noam Slonim, Naftali Tishby"
    },
    {
        "title": "Isotonic Conditional Random Fields and Local Sentiment Flow",
        "status": "Poster",
        "authors": "Yi Mao, Guy Lebanon"
    },
    {
        "title": "Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm",
        "status": "Poster",
        "authors": "Robert Jenssen, Torbjorn Eltoft, Mark A Girolami, Deniz Erdogmus"
    },
    {
        "title": "Kernels on Structured Objects Through Nested Histograms",
        "status": "Poster",
        "authors": "Marco Cuturi, Kenji Fukumizu"
    },
    {
        "title": "Large Margin Component Analysis",
        "status": "Poster",
        "authors": "Lorenzo Torresani, Kuang-chih Lee"
    },
    {
        "title": "Large Margin Gaussian Mixture Models for Automatic Speech Recognition",
        "status": "Poster",
        "authors": "Fei Sha, Lawrence Saul"
    },
    {
        "title": "Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural P",
        "status": "Poster",
        "authors": "Amit Gore, Shantanu Chakrabartty"
    },
    {
        "title": "Large Scale Hidden Semi-Markov SVMs",
        "status": "Poster",
        "authors": "Gunnar R\u00e4tsch, Soeren Sonnenburg"
    },
    {
        "title": "Large-Scale Sparsified Manifold Regularization",
        "status": "Poster",
        "authors": "Ivor W Tsang, James T Kwok"
    },
    {
        "title": "Learnability and the doubling dimension",
        "status": "Spotlight",
        "authors": "Yi Li, Phil Long"
    },
    {
        "title": "Learning Dense 3D Correspondence",
        "status": "Poster",
        "authors": "Florian Steinke, Bernhard Sch\u00f6lkopf, Volker Blanz"
    },
    {
        "title": "Learning Motion Style Synthesis from Perceptual Observations",
        "status": "Poster",
        "authors": "Lorenzo Torresani, Peggy Hackney, Christoph Bregler"
    },
    {
        "title": "Learning Nonparametric Models for Probabilistic Imitation",
        "status": "Poster",
        "authors": "David Grimes, Daniel Rashid, Rajesh PN Rao"
    },
    {
        "title": "Learning Structural Equation Models for fMRI",
        "status": "Poster",
        "authors": "Amos Storkey, Enrico Simonotto, Heather Whalley, Stephen Lawrie, Lawrence Murray, David McGonigle"
    },
    {
        "title": "Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models",
        "status": "Poster",
        "authors": "Alexander Ihler, Padhraic Smyth"
    },
    {
        "title": "Learning annotated hierarchies from relational data",
        "status": "Poster",
        "authors": "Daniel Roy, Charles Kemp, Vikash Mansinghka, Josh Tenenbaum"
    },
    {
        "title": "Learning from Multiple Sources",
        "status": "Poster",
        "authors": "Yacov Crammer, Michael Kearns, Jennifer Wortman Vaughan"
    },
    {
        "title": "Learning on Graph with Laplacian Regularization",
        "status": "Poster",
        "authors": "Rie Ando, Tong Zhang"
    },
    {
        "title": "Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields",
        "status": "Poster",
        "authors": "Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner"
    },
    {
        "title": "Learning to Rank with Nonsmooth Cost Functions",
        "status": "Poster",
        "authors": "Chris J Burges, Quoc Le, Robert J Ragno"
    },
    {
        "title": "Learning to Traverse Image Manifolds",
        "status": "Poster",
        "authors": "Piotr Dollar, Vincent Rabaud, Serge Belongie"
    },
    {
        "title": "Learning to be Bayesian without Supervision",
        "status": "Poster",
        "authors": "Martin Raphan, Eero Simoncelli"
    },
    {
        "title": "Learning to parse images of articulated bodies",
        "status": "Poster",
        "authors": "Deva Ramanan"
    },
    {
        "title": "Learning with Hypergraphs: Clustering, Classification, and Embedding",
        "status": "Poster",
        "authors": "Denny Zhou, Jiayuan Huang, Bernhard Sch\u00f6lkopf"
    },
    {
        "title": "Linearly-solvable Markov decision problems",
        "status": "Poster",
        "authors": "Emanuel Todorov"
    },
    {
        "title": "Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning",
        "status": "Poster",
        "authors": "Peter Auer, Ronald Ortner"
    },
    {
        "title": "Logistic Regression for Single Trial EEG Classification",
        "status": "Spotlight",
        "authors": "Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert M\u00fcller"
    },
    {
        "title": "MLLE: Modified Locally Linear Embedding Using Multiple Weights",
        "status": "Poster",
        "authors": "Jing Wang, Zhenyue Zhang"
    },
    {
        "title": "Manifold Denoising",
        "status": "Poster",
        "authors": "Matthias Hein, Markus M Maier"
    },
    {
        "title": "Map-Reduce for Machine Learning on Multicore",
        "status": "Poster",
        "authors": "Cheng-Tao Chu, Sang Kyun Kim, Yi-An Lin, YuanYuan Yu, Gary R Bradski, Andrew Y Ng, Kunle Olukotun"
    },
    {
        "title": "Max-margin classification of incomplete data",
        "status": "Spotlight",
        "authors": "Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller"
    },
    {
        "title": "Mixture Regression for Covariate Shift",
        "status": "Poster",
        "authors": "Amos Storkey, Masashi Sugiyama"
    },
    {
        "title": "Modeling Dyadic Data with Binary Latent Features",
        "status": "Spotlight",
        "authors": "Ted Meeds, Zoubin Ghahramani, Radford M Neal, Sam T Roweis"
    },
    {
        "title": "Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model",
        "status": "Poster",
        "authors": "Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers"
    },
    {
        "title": "Modeling Human Motion Using Binary Latent Variables",
        "status": "Spotlight",
        "authors": "Graham Taylor, Geoffrey E Hinton, Sam T Roweis"
    },
    {
        "title": "Modelling transcriptional regulation using Gaussian Processes",
        "status": "Poster",
        "authors": "Neil D Lawrence, Guido Sanguinetti, Magnus Rattray"
    },
    {
        "title": "Multi-Instance Multi-Label Learning with Application to Scene Classification",
        "status": "Spotlight",
        "authors": "Zhi-Hua Zhou, Min-Ling Zhang"
    },
    {
        "title": "Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General Sum Stochastic Games",
        "status": "Poster",
        "authors": "Chris D Murray, Geoffrey Gordon"
    },
    {
        "title": "Multi-Task Feature Learning",
        "status": "Poster",
        "authors": "Andreas Argyriou, Theos Evgeniou, Massimiliano Pontil"
    },
    {
        "title": "Multi-dynamic Bayesian Networks",
        "status": "Poster",
        "authors": "Karim Filali, Jeffrey A Bilmes"
    },
    {
        "title": "Multiple Instance Learning for Computer Aided Diagnosis",
        "status": "Poster",
        "authors": "Glenn Fung, Murat Dundar, Balaji R Krishnapuram, R. Bharat Rao"
    },
    {
        "title": "Multiple timescales and uncertainty in motor adaptation",
        "status": "Spotlight",
        "authors": "Konrad P Kording, Josh Tenenbaum, Reza Shadmehr"
    },
    {
        "title": "Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype",
        "status": "Spotlight",
        "authors": "Tobias Sing, Niko Beerenwinkel"
    },
    {
        "title": "Natural Actor-Critic for Road Traffic Optimisation",
        "status": "Poster",
        "authors": "Silvia Richter, Douglas Aberdeen, Jin Yu"
    },
    {
        "title": "Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints",
        "status": "Poster",
        "authors": "Carla Gomes, Ashish Sabharwal, Bart Selman"
    },
    {
        "title": "Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation",
        "status": "Poster",
        "authors": "Jason M Samonds, Brian Potetz, Tai Sing Lee"
    },
    {
        "title": "No-regret algorithms for Online Convex Programs",
        "status": "Poster",
        "authors": "Geoffrey Gordon"
    },
    {
        "title": "Non-rigid point set registration: Coherent Point Drift",
        "status": "Poster",
        "authors": "Andriy Myronenko, Xubo Song"
    },
    {
        "title": "Nonlinear physically-based models for decoding motor-cortical population activity",
        "status": "Poster",
        "authors": "Gregory Shakhnarovich, Sung-Phil Kim, Michael J Black"
    },
    {
        "title": "Nonnegative Sparse PCA",
        "status": "Poster",
        "authors": "Ron Zass, Amnon Shashua"
    },
    {
        "title": "On Transductive Regression",
        "status": "Poster",
        "authors": "Corinna Cortes, Mehryar Mohri"
    },
    {
        "title": "On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts",
        "status": "Poster",
        "authors": "Hariharan Narayanan, Mikhail Belkin, Partha Niyogi"
    },
    {
        "title": "Online Classification for Complex Problems Using Simultaneous Projections",
        "status": "Poster",
        "authors": "Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer"
    },
    {
        "title": "Online Clustering of Moving Subspaces",
        "status": "Poster",
        "authors": "Ren\u00e9 Vidal"
    },
    {
        "title": "Optimal Change-Detection and Spiking Neurons",
        "status": "Poster",
        "authors": "Angela Yu"
    },
    {
        "title": "Optimal Single-Class Classification Strategies",
        "status": "Poster",
        "authors": "Ran El-Yaniv, Mordechai Nisenson"
    },
    {
        "title": "Ordinal Regression by Extended Binary Classification",
        "status": "Spotlight",
        "authors": "Ling Li, Hsuan-Tien Lin"
    },
    {
        "title": "PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier",
        "status": "Spotlight",
        "authors": "Alexandre Lacasse, Francois Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier"
    },
    {
        "title": "PG-means: learning the number of clusters in data",
        "status": "Poster",
        "authors": "Yu Feng, Greg Hamerly"
    },
    {
        "title": "Parameter Expanded Variational Bayesian Methods",
        "status": "Poster",
        "authors": "Yuan (Alan) Qi, Tommi Jaakkola"
    },
    {
        "title": "Part-based Probabilistic Point Matching using Equivalence Constraints",
        "status": "Poster",
        "authors": "Graham McNeill, Sethu Vijayakumar"
    },
    {
        "title": "Particle Filtering for Nonparametric Bayesian Matrix Factorization",
        "status": "Poster",
        "authors": "Frank Wood, Tom Griffiths"
    },
    {
        "title": "Predicting spike times from subthreshold dynamics of a neuron",
        "status": "Poster",
        "authors": "Ryota Kobayashi, Shigeru Shinomoto"
    },
    {
        "title": "Prediction on a Graph with a Perceptron",
        "status": "Spotlight",
        "authors": "Mark Herbster, Massimiliano Pontil"
    },
    {
        "title": "Randomized Clustering Forests for Building Fast and Discriminative Visual Vocabularies",
        "status": "Poster",
        "authors": "Frank Moosmann, Bill Triggs, FREDERIC JURIE"
    },
    {
        "title": "Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension",
        "status": "Poster",
        "authors": "Manfred K. Warmuth, Dima Kuzmin"
    },
    {
        "title": "Real-time adaptive information-theoretic optimization of neurophysiological experiments",
        "status": "Poster",
        "authors": "Jeremy Lewi, Robert Butera, Liam M Paninski"
    },
    {
        "title": "Recursive Attribute Factoring",
        "status": "Poster",
        "authors": "David Cohn, Deepak Verma, Karl Pfleger"
    },
    {
        "title": "Recursive ICA",
        "status": "Poster",
        "authors": "Honghao Shan, Lingyun Zhang, Gary Cottrell"
    },
    {
        "title": "Relational Learning with Gaussian Processes",
        "status": "Poster",
        "authors": "Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, Sathiya Selvaraj Keerthi"
    },
    {
        "title": "Robotic Grasping of Novel Objects",
        "status": "Spotlight",
        "authors": "Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y Ng"
    },
    {
        "title": "Sample Complexity of Policy Search with Known Dynamics",
        "status": "Poster",
        "authors": "Peter Bartlett, Ambuj Tewari"
    },
    {
        "title": "Scalable Discriminative Learning for Natural Language Parsing and Translation",
        "status": "Spotlight",
        "authors": "Joseph Turian, Benjamin Wellington, Dan Melamed"
    },
    {
        "title": "Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds",
        "status": "Poster",
        "authors": "Benjamin Rubinstein, Peter Bartlett, J. Hyam Rubinstein"
    },
    {
        "title": "Similarity by Composition",
        "status": "Poster",
        "authors": "Oren Boiman, Michal Irani"
    },
    {
        "title": "Simplifying Mixture Models through Function Approximation",
        "status": "Poster",
        "authors": "Kai Zhang, James T Kwok"
    },
    {
        "title": "Single Channel Speech Separation Using Layered Hidden Markov Models",
        "status": "Spotlight",
        "authors": "John R Hershey, Trausti Kristjansson, Steven J Rennie, Peder A Olsen"
    },
    {
        "title": "Sparse Kernel Orthonormalized PLS for feature extraction in large data sets",
        "status": "Poster",
        "authors": "Jer\u00f3nimo Arenas-Garc\u00eda, Kaare Brandt Petersen, Lars K Hansen"
    },
    {
        "title": "Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation",
        "status": "Poster",
        "authors": "Gavin Cawley, Nicola Talbot, Mark A Girolami"
    },
    {
        "title": "Sparse Representation for Signal Classification",
        "status": "Poster",
        "authors": "Ke Huang, Selin Aviyente"
    },
    {
        "title": "Speakers optimize information density through syntactic reduction",
        "status": "Spotlight",
        "authors": "Roger Levy, T. Florian Jaeger"
    },
    {
        "title": "Stability of $K$-Means Clustering",
        "status": "Poster",
        "authors": "Sasha Rakhlin, Andrea Caponnetto"
    },
    {
        "title": "Statistical Modeling of Images with Fields of Gaussian Scale Mixtures",
        "status": "Poster",
        "authors": "Siwei Lyu, Eero Simoncelli"
    },
    {
        "title": "Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds",
        "status": "Poster",
        "authors": "Gloria Haro, Gregory Randall, Guillermo Sapiro"
    },
    {
        "title": "Structure Learning in Markov Random Fields",
        "status": "Poster",
        "authors": "Sridevi Parise, Max Welling"
    },
    {
        "title": "Subordinate class recognition using relational object models",
        "status": "Spotlight",
        "authors": "Aharon Bar Hillel, Daphna Weinshall"
    },
    {
        "title": "Support Vector Machines on a Budget",
        "status": "Spotlight",
        "authors": "Ofer Dekel, Yoram Singer"
    },
    {
        "title": "Temporal Coding using the Response Properties of Spiking Neurons",
        "status": "Poster",
        "authors": "Thomas Voegtlin"
    },
    {
        "title": "Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Task",
        "status": "Poster",
        "authors": "Alexis Battle, Gal Chechik, Daphne Koller"
    },
    {
        "title": "Temporal dynamics of information content carried by neurons in the primary visual cortex",
        "status": "Poster",
        "authors": "Danko Nikolic, Stefan Haeusler, Wolf Singer, Wolfgang Maass"
    },
    {
        "title": "The Neurodynamics of Belief Propagation on Binary Markov Random Fields",
        "status": "Poster",
        "authors": "Thomas Ott, Ruedi Stoop"
    },
    {
        "title": "The Robustness-Performance Tradeoff in Markov Decision Processes",
        "status": "Spotlight",
        "authors": "Huan Xu, Shie Mannor"
    },
    {
        "title": "Theory and Dynamics of Perceptual Bistability",
        "status": "Poster",
        "authors": "Paul R Schrater, Rashmi Sundareswara"
    },
    {
        "title": "Tighter PAC-Bayes Bounds",
        "status": "Poster",
        "authors": "Amiran Ambroladze, Emilio Parrado-Hernandez, John Shawe-Taylor"
    },
    {
        "title": "Towards Zero-Training for Brain-Computer Interface Experiments",
        "status": "Poster",
        "authors": "Matthias Krauledat, Michael Schr\u00f6der, Benjamin Blankertz, Klaus-Robert M\u00fcller"
    },
    {
        "title": "Towards a general independent subspace analysis",
        "status": "Poster",
        "authors": "Fabian J Theis"
    },
    {
        "title": "Training Conditional Random Fields for Maximum Parse Accuracy",
        "status": "Poster",
        "authors": "Samuel Gross, Olga Russakovsky, Chuong B Do, Serafim Batzoglou"
    },
    {
        "title": "TrueSkill: A Bayesian Skill Rating System",
        "status": "Poster",
        "authors": "Ralf Herbrich, Tom Minka, Thore K Graepel"
    },
    {
        "title": "Uncertainty, phase and oscillatory hippocampal recall",
        "status": "Poster",
        "authors": "Mate Lengyel, Peter Dayan"
    },
    {
        "title": "Unified Inference for Variational Bayesian Linear Gaussian State-Space Models",
        "status": "Spotlight",
        "authors": "David Barber, Silvia Chiappa"
    },
    {
        "title": "Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing",
        "status": "Poster",
        "authors": "Long Zhu, Yuanhao Chen, Alan Yuille"
    },
    {
        "title": "Using Combinatorial Optimization within Max-Product Belief Propagation",
        "status": "Spotlight",
        "authors": "John Duchi, Danny Tarlow, Gal Elidan, Daphne Koller"
    },
    {
        "title": "iLSTD: Convergence, Eligibility Traces, and Mountain Car",
        "status": "Poster",
        "authors": "Alborz Geramifard, Michael Bowling, Martin A Zinkevich, Richard Sutton"
    },
    {
        "title": "implicit Online Learning with Kernels",
        "status": "Poster",
        "authors": "Li Cheng, Vishwanathan S V N, Dale Schuurmans, Shaojun Wang, Terry Caelli"
    }
]