NeurIPS 2008
250 papers
A Massively Parallel Digital Learning Processor
Hans P. Graf, Srihari Cadambi, Venkata Jakkula, Murugan Sankaradass, Eric Cosatto, Srimat Chakradhar, Igor Dourdanovic A Mixture Model for the Evolution of Gene Expression in Non-Homogeneous Datasets
Gerald Quon, Yee W. Teh, Esther Chan, Timothy Hughes, Michael Brudno, Quaid D. Morris Artificial Olfactory Brain for Mixture Identification
Mehmet K. Muezzinoglu, Alexander Vergara, Ramon Huerta, Thomas Nowotny, Nikolai Rulkov, Henry Abarbanel, Allen Selverston, Mikhail Rabinovich Automatic Online Tuning for Fast Gaussian Summation
Vlad I. Morariu, Balaji V. Srinivasan, Vikas C. Raykar, Ramani Duraiswami, Larry S. Davis Bayesian Exponential Family PCA
Shakir Mohamed, Zoubin Ghahramani, Katherine A. Heller Bayesian Kernel Shaping for Learning Control
Jo-anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal Bayesian Model of Behaviour in Economic Games
Debajyoti Ray, Brooks King-casas, P. R. Montague, Peter Dayan Bayesian Synchronous Grammar Induction
Phil Blunsom, Trevor Cohn, Miles Osborne Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Jimison, Frank Ohl, Misha Pavel Breaking Audio CAPTCHAs
Jennifer Tam, Jiri Simsa, Sean Hyde, Luis V. Ahn Characteristic Kernels on Groups and Semigroups
Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf, Bharath K. Sriperumbudur Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob, Jean-philippe Vert, Francis R. Bach Clustering via LP-Based Stabilities
Nikos Komodakis, Nikos Paragios, Georgios Tziritas Clusters and Coarse Partitions in LP Relaxations
David Sontag, Amir Globerson, Tommi S. Jaakkola Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1
Klaus Wimmer, Marcel Stimberg, Robert Martin, Lars Schwabe, Jorge Mariño, James Schummers, David C. Lyon, Mriganka Sur, Klaus Obermayer Dependent Dirichlet Process Spike Sorting
Jan Gasthaus, Frank Wood, Dilan Gorur, Yee W. Teh Differentiable Sparse Coding
J. A. Bagnell, David M. Bradley Domain Adaptation with Multiple Sources
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh Efficient Inference in Phylogenetic InDel Trees
Alexandre Bouchard-côté, Dan Klein, Michael I. Jordan Estimating Vector Fields Using Sparse Basis Field Expansions
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze, Fernando Pereira Fast Prediction on a Tree
Mark Herbster, Massimiliano Pontil, Sergio R. Galeano Fast Rates for Regularized Objectives
Karthik Sridharan, Shai Shalev-shwartz, Nathan Srebro Gates
Tom Minka, John Winn Generative Versus Discriminative Training of RBMs for Classification of fMRI Images
Tanya Schmah, Geoffrey E. Hinton, Steven L. Small, Stephen Strother, Richard S. Zemel Global Ranking Using Continuous Conditional Random Fields
Tao Qin, Tie-yan Liu, Xu-dong Zhang, De-sheng Wang, Hang Li Grouping Contours via a Related Image
Praveen Srinivasan, Liming Wang, Jianbo Shi Hebbian Learning of Bayes Optimal Decisions
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass Human Active Learning
Rui M. Castro, Charles Kalish, Robert Nowak, Ruichen Qian, Tim Rogers, Xiaojin Zhu Improving on Expectation Propagation
Manfred Opper, Ulrich Paquet, Ole Winther Kernel Change-Point Analysis
Zaïd Harchaoui, Eric Moulines, Francis R. Bach Kernel Measures of Independence for Non-Iid Data
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smola Kernelized Sorting
Novi Quadrianto, Le Song, Alex J. Smola Localized Sliced Inverse Regression
Qiang Wu, Sayan Mukherjee, Feng Liang Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing Modeling Human Function Learning with Gaussian Processes
Thomas L. Griffiths, Chris Lucas, Joseph Williams, Michael L. Kalish Mortal Multi-Armed Bandits
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal Multi-Label Multiple Kernel Learning
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye Multi-Task Gaussian Process Learning of Robot Inverse Dynamics
Christopher Williams, Stefan Klanke, Sethu Vijayakumar, Kian M. Chai Non-Stationary Dynamic Bayesian Networks
Joshua W. Robinson, Alexander J. Hartemink Nonlinear Causal Discovery with Additive Noise Models
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf Nonparametric Sparse Hierarchical Models Describe V1 fMRI Responses to Natural Images
Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick Kay, Jack Gallant, Pradeep K. Ravikumar Nonrigid Structure from Motion in Trajectory Space
Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kanade On Bootstrapping the ROC Curve
Patrice Bertail, Stéphan J. Clémençcon, Nicolas Vayatis Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kristen Grauman Online Models for Content Optimization
Deepak Agarwal, Bee-chung Chen, Pradheep Elango, Nitin Motgi, Seung-taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah Online Optimization in X-Armed Bandits
Sébastien Bubeck, Gilles Stoltz, Csaba Szepesvári, Rémi Munos Online Prediction on Large Diameter Graphs
Mark Herbster, Guy Lever, Massimiliano Pontil Particle Filter-Based Policy Gradient in POMDPs
Pierre-arnaud Coquelin, Romain Deguest, Rémi Munos Playing Pinball with Non-Invasive BCI
Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Carmen Vidaurre, Klaus-Robert Müller, Michael Schröder Predictive Indexing for Fast Search
Sharad Goel, John Langford, Alexander L. Strehl Privacy-Preserving Logistic Regression
Kamalika Chaudhuri, Claire Monteleoni Probabilistic Detection of Short Events, with Application to Critical Care Monitoring
Norm Aleks, Stuart Russell, Michael G. Madden, Diane Morabito, Kristan Staudenmayer, Mitchell Cohen, Geoffrey T. Manley QUIC-SVD: Fast SVD Using Cosine Trees
Michael P. Holmes, Jr. Isbell, Charles Lee, Alexander G. Gray Regularized Co-Clustering with Dual Supervision
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovic Regularized Learning with Networks of Features
Ted Sandler, John Blitzer, Partha P. Talukdar, Lyle H. Ungar Regularized Policy Iteration
Amir M. Farahmand, Mohammad Ghavamzadeh, Shie Mannor, Csaba Szepesvári Relative Margin Machines
Tony Jebara, Pannagadatta K. Shivaswamy Robust Regression and Lasso
Huan Xu, Constantine Caramanis, Shie Mannor Self-Organization Using Synaptic Plasticity
Vicençc Gómez, Andreas Kaltenbrunner, Vicente López, Hilbert J. Kappen Short-Term Depression in VLSI Stochastic Synapse
Peng Xu, Timothy K. Horiuchi, Pamela A. Abshire Sparse Probabilistic Projections
Cédric Archambeau, Francis R. Bach Sparse Signal Recovery Using Markov Random Fields
Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Richard Baraniuk Spectral Clustering with Perturbed Data
Ling Huang, Donghui Yan, Nina Taft, Michael I. Jordan Spectral Hashing
Yair Weiss, Antonio Torralba, Rob Fergus Supervised Dictionary Learning
Julien Mairal, Jean Ponce, Guillermo Sapiro, Andrew Zisserman, Francis R. Bach Support Vector Machines with a Reject Option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu Syntactic Topic Models
Jordan L. Boyd-graber, David M. Blei The Gaussian Process Density Sampler
Iain Murray, David MacKay, Ryan P. Adams The Infinite Factorial Hidden Markov Model
Jurgen V. Gael, Yee W. Teh, Zoubin Ghahramani The Mondrian Process
Daniel M. Roy, Yee W. Teh The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever, Geoffrey E. Hinton, Graham W. Taylor Theory of Matching Pursuit
Zakria Hussain, John S. Shawe-taylor Tighter Bounds for Structured Estimation
Olivier Chapelle, Chuong B. Do, Choon H. Teo, Quoc V. Le, Alex J. Smola