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NIPS*2006
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| An Application of Reinforcement Learning to
Aerobatic Helicopter Flight Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng [ps.gz][pdf][bibtex] Tighter PAC-Bayes Bounds Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor [ps.gz][pdf][bibtex] Online Classification for Complex Problems Using Simultaneous Projections Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer [ps.gz][pdf][bibtex] Learning on Graph with Laplacian Regularization Rie Kubota Ando, Tong Zhang [ps.gz][pdf][bibtex] Sparse Kernel Orthonormalized PLS for feature extraction in large data sets Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen [ps.gz][pdf][bibtex] Multi-Task Feature Learning Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil [ps.gz][pdf][bibtex] Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning Peter Auer, Ronald Ortner [ps.gz][pdf][bibtex] Efficient Methods for Privacy Preserving Face Detection Shai Avidan, Moshe Butman [ps.gz][pdf][bibtex] Active learning for misspecified generalized linear models Francis R. Bach [ps.gz][pdf][bibtex] A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems David Barber, Bertrand Mesot [ps.gz][pdf][bibtex] Unified Inference for Variational Bayesian Linear Gaussian State-Space Models David Barber, Silvia Chiappa [ps.gz][pdf][bibtex] Sample Complexity of Policy Search with Known Dynamics Peter L. Bartlett, Ambuj Tewari [ps.gz][pdf][bibtex] AdaBoost is Consistent Peter L. Bartlett, Mikhail Traskin [ps.gz][pdf][bibtex] A selective attention multi--chip system with dynamic synapses and spiking neurons Chiara Bartolozzi, Giacomo Indiveri [ps.gz][pdf][bibtex] Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks Alexis Battle, Gal Chechik, Daphne Koller [ps.gz][pdf][bibtex] Convergence of Laplacian Eigenmaps Mikhail Belkin, Partha Niyogi [ps.gz][pdf][bibtex] Analysis of Representations for Domain Adaptation Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira [ps.gz][pdf][bibtex] An Approach to Bounded Rationality Eli Ben-Sasson, Adam Tauman Kalai, Ehud Kalai [ps.gz][pdf][bibtex] Greedy Layer-Wise Training of Deep Networks Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle [ps.gz][pdf][bibtex] Dirichlet-Enhanced Spam Filtering based on Biased Samples Steffen Bickel, Tobias Scheffer [ps.gz][pdf][bibtex] Detecting Humans via Their Pose Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto [ps.gz][pdf][bibtex] Similarity by Composition Oren Boiman, Michal Irani [ps.gz][pdf][bibtex] Denoising and Dimension Reduction in Feature Space Mikio L. Braun, Joachim Buhmann, Klaus-Robert Müller [ps.gz][pdf][bibtex] Learning to Rank with Nonsmooth Cost Functions Christopher J.C. Burges, Robert Ragno, Quoc Viet Le [ps.gz][pdf][bibtex] Conditional mean field Peter Carbonetto, Nando De Freitas [ps.gz][pdf][bibtex] Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation Gavin C. Cawley, Nicola L.C. Talbot, Mark Girolami [ps.gz][pdf][bibtex] Branch and Bound for Semi-Supervised Support Vector Machines Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi [ps.gz][pdf][bibtex] Automated Hierarchy Discovery for Planning in Partially Observable Environments Laurent Charlin, Pascal Poupart, Romy Shioda [ps.gz][pdf][bibtex] Max-margin classification of incomplete data Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller [ps.gz][pdf][bibtex] Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers [ps.gz][pdf][bibtex] implicit Online Learning with Kernels Li Cheng, S.V.N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli [ps.gz][pdf][bibtex] Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas [ps.gz][pdf][bibtex] Bayesian Ensemble Learning Hugh A. Chipman, Edward I. George, Robert E. McCulloch [ps.gz][pdf][bibtex] Relational Learning with Gaussian Processes Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi [ps.gz][pdf][bibtex] Map-Reduce for Machine Learning on Multicore Cheng-Tao Chu, Sang Kyun Kim, Yi-An Lin, YuanYuan Yu, Gary Bradski, Andrew Y. Ng, Kunle Olukotun [ps.gz][pdf][bibtex] Recursive Attribute Factoring David Cohn, Deepak Verma, Karl Pfleger [ps.gz][pdf][bibtex] On Transductive Regression Corinna Cortes, Mehryar Mohri [ps.gz][pdf][bibtex] Balanced Graph Matching Timothee Cour, Praveen Srinivasan, Jianbo Shi [ps.gz][pdf][bibtex] Learning from Multiple Sources Koby Crammer, Michael Kearns, Jennifer Wortman [ps.gz][pdf][bibtex] Kernels on Structured Objects Through Nested Histograms Marco Cuturi, Kenji Fukumizu [ps.gz][pdf][bibtex] Differential Entropic Clustering of Multivariate Gaussians Jason V. Davis, Inderjit Dhillon [ps.gz][pdf][bibtex] Support Vector Machines on a Budget Ofer Dekel, Yoram Singer [ps.gz][pdf][bibtex] A Theory of Retinal Population Coding Eizaburo Doi, Michael S. Lewicki [ps.gz][pdf][bibtex] Learning to Traverse Image Manifolds Piotr Dollár, Serge Belongie, Vincent Rabaud [ps.gz][pdf][bibtex] Using Combinatorial Optimization within Max-Product Belief Propagation John Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller [ps.gz][pdf][bibtex] Optimal Single-Class Classification Strategies Ran El-Yaniv, Mordechai Nisenson [ps.gz][pdf][bibtex] A Small World Threshold for Economic Network Formation Eyal Even-Dar, Michael Kearns [ps.gz][pdf][bibtex] PG-means: learning the number of clusters in data Yu Feng, Greg Hamerly [ps.gz][pdf][bibtex] Clustering Under Prior Knowledge with Application to Image Segmentation Mário A.T. Figueiredo, Dong Seon Cheng, Vittorio Murino [ps.gz][pdf][bibtex] Multi-dynamic Bayesian Networks Karim Filali, Jeff A. Bilmes [ps.gz][pdf][bibtex] Image Retrieval and Classification Using Local Distance Functions Andrea Frome, Yoram Singer, Jitendra Malik [ps.gz][pdf][bibtex] Multiple Instance Learning for Computer Aided Diagnosis Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao [ps.gz][pdf][bibtex] Distributed Inference in Dynamical Systems Stanislav Funiak, Carlos Guestrin, Mark Paskin, Rahul Sukthankar [ps.gz][pdf][bibtex] iLSTD: Eligibility Traces and Convergence Analysis Alborz Geramifard, Michael Bowling, Martin Zinkevich, Richard S. Sutton [ps.gz][pdf][bibtex] A PAC-Bayes Risk Bound for General Loss Functions Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand [ps.gz][pdf][bibtex] Bayesian Policy Gradient Algorithms Mohammad Ghavamzadeh, Yaakov Engel [ps.gz][pdf][bibtex] Data Integration for Classification Problems Employing Gaussian Process Priors Mark Girolami, Mingjun Zhong [ps.gz][pdf][bibtex] Approximate inference using planar graph decomposition Amir Globerson, Tommi S. Jaakkola [ps.gz][pdf][bibtex] Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints Carla P. Gomes, Ashish Sabharwal, Bart Selman [ps.gz][pdf][bibtex] No-regret Algorithms for Online Convex Programs Geoffrey J. Gordon [ps.gz][pdf][bibtex] Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis Amit Gore, Shantanu Chakrabartty [ps.gz][pdf][bibtex] Approximate Correspondences in High Dimensions Kristen Grauman, Trevor Darrell [ps.gz][pdf][bibtex] A Kernel Method for the Two-Sample-Problem Arthur Gretton, Karsten M. Borgwardt, Malte Rasch, Bernhard Schölkopf, Alexander J. Smola [ps.gz][pdf][bibtex] Learning Nonparametric Models for Probabilistic Imitation David B. Grimes, Daniel R. Rashid, Rajesh P.N. Rao [ps.gz][pdf][bibtex] Training Conditional Random Fields for Maximum Labelwise Accuracy Samuel S. Gross, Olga Russakovsky, Chuong B. Do, Serafim Batzoglou [ps.gz][pdf][bibtex] Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces Moritz Grosse-Wentrup, Klaus Gramann, Martin Buss [ps.gz][pdf][bibtex] Graph-Based Visual Saliency Jonathan Harel, Christof Koch, Pietro Perona [ps.gz][pdf][bibtex] Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds Gloria Haro, Gregory Randall, Guillermo Sapiro [ps.gz][pdf][bibtex] Manifold Denoising Matthias Hein, Markus Maier [ps.gz][pdf][bibtex] TrueSkill™: A Bayesian Skill Rating System Ralf Herbrich, Tom Minka, Thore Graepel [ps.gz][pdf][bibtex] Prediction on a Graph with a Perceptron Mark Herbster, Massimiliano Pontil [ps.gz][pdf][bibtex] Single Channel Speech Separation Using Factorial Dynamics John R. Hershey, Trausti Kristjansson, Steven Rennie, Peder A. Olsen [ps.gz][pdf][bibtex] Subordinate class recognition using relational object models Aharon Bar Hillel, Daphna Weinshall [ps.gz][pdf][bibtex] Sparse Representation for Signal Classification Ke Huang, Selin Aviyente [ps.gz][pdf][bibtex] In-Network PCA and Anomaly Detection Ling Huang, XuanLong Nguyen, Minos Garofalakis, Michael I. Jordan, Anthony Joseph, Nina Taft [ps.gz][pdf][bibtex] Correcting Sample Selection Bias by Unlabeled Data Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf [ps.gz][pdf][bibtex] Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models Alexander T. Ihler, Padhraic Smyth [ps.gz][pdf][bibtex] Geometric entropy minimization (GEM) for anomaly detection and localization Alfred O. Hero III [ps.gz][pdf][bibtex] Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm Robert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus [ps.gz][pdf][bibtex] Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models Mark Johnson, Thomas L. Griffiths, Sharon Goldwater [ps.gz][pdf][bibtex][correction] A Humanlike Predictor of Facial Attractiveness Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel Cohen-Or, Eytan Ruppin [ps.gz][pdf][bibtex] Clustering appearance and shape by learning jigsaws Anitha Kannan, John Winn, Carsten Rother [ps.gz][pdf][bibtex] A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida [ps.gz][pdf][bibtex] An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle [ps.gz][pdf][bibtex] Combining causal and similarity-based reasoning Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum [ps.gz][pdf][bibtex] A Nonparametric Approach to Bottom-Up Visual Saliency Wolf Kienzle, Felix A. Wichmann, Bernhard Schölkopf, Matthias O. Franz [ps.gz][pdf][bibtex] Hierarchical Dirichlet Processes with Random Effects Seyoung Kim, Padhraic Smyth [ps.gz][pdf][bibtex] An Information Theoretic Framework for Eukaryotic Gradient Sensing Joseph M. Kimmel, Richard M. Salter, Peter J. Thomas [ps.gz][pdf][bibtex] Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons Stefan Klampfl, Robert Legenstein, Wolfgang Maass [ps.gz][pdf][bibtex] Predicting spike times from subthreshold dynamics of a neuron Ryota Kobayashi, Shigeru Shinomoto [ps.gz][pdf][bibtex] Gaussian and Wishart Hyperkernels Risi Kondor, Tony Jebara [ps.gz][pdf][bibtex] Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach Matthias Krauledat, Michael Schröder, Benjamin Blankertz, Klaus-Robert Müller [ps.gz][pdf][bibtex] Accelerated Variational Dirichlet Process Mixtures Kenichi Kurihara, Max Welling, Nikos Vlassis [ps.gz][pdf][bibtex] Causal inference in sensorimotor integration Konrad P. Körding, Joshua B. Tenenbaum [ps.gz][pdf][bibtex] Multiple timescales and uncertainty in motor adaptation Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr [ps.gz][pdf][bibtex] PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier [ps.gz][pdf][bibtex] Inducing Metric Violations in Human Similarity Judgements Julian Laub, Jakob Macke, Klaus-Robert Müller, Felix A. Wichmann [ps.gz][pdf][bibtex] Modelling transcriptional regulation using Gaussian Processes Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray [ps.gz][pdf][bibtex] A Bayesian Approach to Diffusion Models of Decision-Making and Response Time Michael D. Lee, Ian G. Fuss, Daniel J. Navarro [ps.gz][pdf][bibtex] Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner [ps.gz][pdf][bibtex] Efficient Structure Learning of Markov Networks using L1-Regularization Su-In Lee, Varun Ganapathi, Daphne Koller [ps.gz][pdf][bibtex] Efficient sparse coding algorithms Honglak Lee, Alexis Battle, Rajat Raina, Andrew Y. Ng [ps.gz][pdf][bibtex] Aggregating Classification Accuracy across Time: Application to Single Trial EEG Steven Lemm, Christin Schäfer, Gabriel Curio [ps.gz][pdf][bibtex] Uncertainty, phase and oscillatory hippocampal recall Máté Lengyel, Peter Dayan [ps.gz][pdf][bibtex] Blind Motion Deblurring Using Image Statistics Anat Levin [ps.gz][pdf][bibtex] Speakers optimize information density through syntactic reduction Roger Levy, T. Florian Jaeger [ps.gz][pdf][bibtex] Real-time adaptive information-theoretic optimization of neurophysiology experiments Jeremy Lewi, Robert Butera, Liam Paninski [ps.gz][pdf][bibtex] Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space Wenye Li, Kin-Hong Lee, Kwong-Sak Leung [ps.gz][pdf][bibtex] Learnability and the doubling dimension Yi Li, Philip M. Long [ps.gz][pdf][bibtex] Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data Ping Li, Kenneth W. Church, Trevor J. Hastie [ps.gz][pdf][bibtex] Ordinal Regression by Extended Binary Classification Ling Li, Hsuan-Tien Lin [ps.gz][pdf][bibtex] Emergence of conjunctive visual features by quadratic independent component analysis J.T. Lindgren, Aapo Hyvärinen [ps.gz][pdf][bibtex] Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler [ps.gz][pdf][bibtex] Analysis of Contour Motions Ce Liu, William T. Freeman, Edward H. Adelson [ps.gz][pdf][bibtex] Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions Philip M. Long, Rocco A. Servedio [ps.gz][pdf][bibtex] Dynamic Foreground/Background Extraction from Images and Videos using Random Patches Le Lu, Gregory Hager [ps.gz][pdf][bibtex] Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning Gediminas Lukšys, Jérémie Knüsel, Denis Sheynikhovich, Carmen Sandi, Wulfram Gerstner [ps.gz][pdf][bibtex] Statistical Modeling of Images with Fields of Gaussian Scale Mixtures Siwei Lyu, Eero P. Simoncelli [ps.gz][pdf][bibtex] An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments Michael I. Mandel, Daniel P.W. Ellis, Tony Jebara [ps.gz][pdf][bibtex] Isotonic Conditional Random Fields and Local Sentiment Flow Yi Mao, Guy Lebanon [ps.gz][pdf][bibtex] Part-based Probabilistic Point Matching using Equivalence Constraints Graham McNeill, Sethu Vijayakumar [ps.gz][pdf][bibtex] Modeling Dyadic Data with Binary Latent Factors Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis [ps.gz][pdf][bibtex] Fast Discriminative Visual Codebooks using Randomized Clustering Forests Frank Moosmann, Bill Triggs, Frederic Jurie [ps.gz][pdf][bibtex] Context Effects in Category Learning: An Investigation of Four Probabilistic Models Michael C. Mozer, Michael Jones, Michael Shettel [ps.gz][pdf][bibtex] Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games Chris Murray, Geoffrey J. Gordon [ps.gz][pdf][bibtex] Non-rigid point set registration: Coherent Point Drift Andriy Myronenko, Xubo Song, Miguel Á. Carreira-Perpiñán [ps.gz][pdf][bibtex] Fundamental Limitations of Spectral Clustering Boaz Nadler, Meirav Galun [ps.gz][pdf][bibtex] On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts Hariharan Narayanan, Mikhail Belkin, Partha Niyogi [ps.gz][pdf][bibtex] A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments Daniel J. Navarro, Thomas L. Griffiths [ps.gz][pdf][bibtex] Temporal dynamics of information content carried by neurons in the primary visual cortex Danko Nikolić, Stefan Haeusler, Wolf Singer, Wolfgang Maass [ps.gz][pdf][bibtex] Blind source separation for over-determined delayed mixtures Lars Omlor, Martin Giese [ps.gz][pdf][bibtex] The Neurodynamics of Belief Propagation on Binary Markov Random Fields Thomas Ott, Ruedi Stoop [ps.gz][pdf][bibtex] Handling Advertisements of Unknown Quality in Search Advertising Sandeep Pandey, Christopher Olston [ps.gz][pdf][bibtex] Bayesian Model Scoring in Markov Random Fields Sridevi Parise, Max Welling [ps.gz][pdf][bibtex] Bayesian Image Super-resolution, Continued Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman [ps.gz][pdf][bibtex] Game Theoretic Algorithms for Protein-DNA binding Luis Pérez-Breva, Luis E. Ortiz, Chen-Hsiang Yeang, Tommi S. Jaakkola [ps.gz][pdf][bibtex] Parameter Expanded Variational Bayesian Methods Yuan (Alan) Qi, Tommi S. Jaakkola [ps.gz][pdf][bibtex] Inferring Network Structure from Co-Occurrences Michael G. Rabbat, Mário A.T. Figueiredo, Robert D. Nowak [ps.gz][pdf][bibtex] Unsupervised Regression with Applications to Nonlinear System Identification Ali Rahimi, Ben Recht [ps.gz][pdf][bibtex] Stability of K-Means Clustering Alexander Rakhlin, Andrea Caponnetto [ps.gz][pdf][bibtex] Learning to parse images of articulated bodies Deva Ramanan [ps.gz][pdf][bibtex] Efficient Learning of Sparse Representations with an Energy-Based Model MarcAurelio Ranzato, Christopher Poultney, Sumit Chopra, Yann LeCun [ps.gz][pdf][bibtex] Learning to be Bayesian without Supervision Martin Raphan, Eero P. Simoncelli [ps.gz][pdf][bibtex] Boosting Structured Prediction for Imitation Learning Nathan Ratliff, David Bradley, J. Andrew Bagnell, Joel Chestnutt [ps.gz][pdf][bibtex] Natural Actor-Critic for Road Traffic Optimisation Silvia Richter, Douglas Aberdeen, Jin Yu [ps.gz][pdf][bibtex] Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees Konrad Rieck, Pavel Laskov, Sören Sonnenburg [ps.gz][pdf][bibtex] Learning annotated hierarchies from relational data Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka, Joshua B. Tenenbaum [ps.gz][pdf][bibtex] Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds Benjamin I.P. Rubinstein, Peter L. Bartlett, J. Hyam Rubinstein [ps.gz][pdf][bibtex] Large Scale Hidden Semi-Markov SVMs Gunnar Rätsch, Sören Sonnenburg [ps.gz][pdf][bibtex] Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation Jason M. Samonds, Brian R. Potetz, Tai Sing Lee [ps.gz][pdf][bibtex] Robotic Grasping of Novel Objects Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y. Ng [ps.gz][pdf][bibtex] Theory and Dynamics of Perceptual Bistability Paul R. Schrater, Rashmi Sundareswara [ps.gz][pdf][bibtex] Fast Iterative Kernel PCA Nicol N. Schraudolph, Simon Günter, S.V.N. Vishwanathan [ps.gz][pdf][bibtex] Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods Matthias W. Seeger [ps.gz][pdf][bibtex] Information Bottleneck for Non Co-Occurrence Data Yevgeny Seldin, Noam Slonim, Naftali Tishby [ps.gz][pdf][bibtex] Large Margin Hidden Markov Models for Automatic Speech Recognition Fei Sha, Lawrence K. Saul [ps.gz][pdf][bibtex] Nonlinear physically-based models for decoding motor-cortical population activity Gregory Shakhnarovich, Sung-Phil Kim, Michael J. Black [ps.gz][pdf][bibtex] Convex Repeated Games and Fenchel Duality Shai Shalev-Shwartz, Yoram Singer [ps.gz][pdf][bibtex] Recursive ICA Honghao Shan, Lingyun Zhang, Garrison W. Cottrell [ps.gz][pdf][bibtex] Chained Boosting Christian R. Shelton, Wesley Huie, Kin Fai Kan [ps.gz][pdf][bibtex] A recipe for optimizing a time-histogram Hideaki Shimazaki, Shigeru Shinomoto [ps.gz][pdf][bibtex] Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype Tobias Sing, Niko Beerenwinkel [ps.gz][pdf][bibtex] Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space Kyung-Ah Sohn, Eric P. Xing [ps.gz][pdf][bibtex] Learning Dense 3D Correspondence Florian Steinke, Bernhard Schölkopf, Volker Blanz [ps.gz][pdf][bibtex] An Oracle Inequality for Clipped Regularized Risk Minimizers Ingo Steinwart, Don Hush, Clint Scovel [ps.gz][pdf][bibtex] Mixture Regression for Covariate Shift Amos J. Storkey, Masashi Sugiyama [ps.gz][pdf][bibtex] Learning Structural Equation Models for fMRI Amos J. Storkey, Enrico Simonotto, Heather Whalley, Stephen Lawrie, Lawrence Murray, David McGonigle [ps.gz][pdf][bibtex] Modeling Human Motion Using Binary Latent Variables Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis [ps.gz][pdf][bibtex] A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation Yee Whye Teh, David Newman, Max Welling [ps.gz][pdf][bibtex] Towards a general independent subspace analysis Fabian J. Theis [ps.gz][pdf][bibtex] Linearly-solvable Markov decision problems Emanuel Todorov [ps.gz][pdf][bibtex] Logistic Regression for Single Trial EEG Classification Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller [ps.gz][pdf][bibtex] Learning Motion Style Synthesis from Perceptual Observations Lorenzo Torresani, Peggy Hackney, Christoph Bregler [ps.gz][pdf][bibtex] Large Margin Component Analysis Lorenzo Torresani, Kuang-chih Lee [ps.gz][pdf][bibtex] Large-Scale Sparsified Manifold Regularization Ivor W. Tsang, James T. Kwok [ps.gz][pdf][bibtex] Scalable Discriminative Learning for Natural Language Parsing and Translation Joseph Turian, Benjamin Wellington, I. Dan Melamed [ps.gz][pdf][bibtex] Generalized Maximum Margin Clustering and Unsupervised Kernel Learning Hamed Valizadegan, Rong Jin [ps.gz][pdf][bibtex] A Complexity-Distortion Approach to Joint Pattern Alignment Andrea Vedaldi, Stefano Soatto [ps.gz][pdf][bibtex] Online Clustering of Moving Hyperplanes René Vidal [ps.gz][pdf][bibtex] Comparative Gene Prediction using Conditional Random Fields Jade P. Vinson, David DeCaprio, Matthew D. Pearson, Stacey Luoma, James E. Galagan [ps.gz][pdf][bibtex] Fast Computation of Graph Kernels S.V.N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph [ps.gz][pdf][bibtex] Temporal Coding using the Response Properties of Spiking Neurons Thomas Voegtlin [ps.gz][pdf][bibtex] High-Dimensional Graphical Model Selection Using l1-Regularized Logistic Regression Martin J. Wainwright, Pradeep Ravikumar, John D. Lafferty [ps.gz][pdf][bibtex] Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions Christian Walder, Bernhard Schölkopf, Olivier Chapelle [ps.gz][pdf][bibtex] Attentional Processing on a Spike-Based VLSI Neural Network Yingxue Wang, Rodney J. Douglas, Shih-Chii Liu [ps.gz][pdf][bibtex] Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension Manfred K. Warmuth, Dima Kuzmin [ps.gz][pdf][bibtex] Graph Laplacian Regularization for Large-Scale Semidefinite Programming Kilian Q. Weinberger, Fei Sha, Qihui Zhu, Lawrence K. Saul [ps.gz][pdf][bibtex] A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo Oliver Williams [ps.gz][pdf][bibtex] Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization David Wipf, Rey Ramírez, Jason Palmer, Scott Makeig, Bhaskar Rao [ps.gz][pdf][bibtex] Particle Filtering for Nonparametric Bayesian Matrix Factorization Frank Wood, Thomas L. Griffiths [ps.gz][pdf][bibtex] A Scalable Machine Learning Approach to Go Lin Wu, Pierre Baldi [ps.gz][pdf][bibtex] A Local Learning Approach for Clustering Mingrui Wu, Bernhard Schölkopf [ps.gz][pdf][bibtex] The Robustness-Performance Tradeoff in Markov Decision Processes Huan Xu, Shie Mannor [ps.gz][pdf][bibtex] Stochastic Relational Models for Discriminative Link Prediction Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu [ps.gz][pdf][bibtex] Optimal Change-Detection and Spiking Neurons Angela J. Yu [ps.gz][pdf][bibtex] Doubly Stochastic Normalization for Spectral Clustering Ron Zass, Amnon Shashua [ps.gz][pdf][bibtex] Nonnegative Sparse PCA Ron Zass, Amnon Shashua [ps.gz][pdf][bibtex] MLLE: Modified Locally Linear Embedding Using Multiple Weights Zhenyue Zhang, Jing Wang [ps.gz][pdf][bibtex] Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms Xinhua Zhang, Wee Sun Lee [ps.gz][pdf][bibtex] Simplifying Mixture Models through Function Approximation Kai Zhang, James T. Kwok [ps.gz][pdf][bibtex] Multi-Instance Multi-Label Learning with Application to Scene Classification Zhi-Hua Zhou, Min-Ling Zhang [ps.gz][pdf][bibtex] Learning with Hypergraphs: Clustering, Classification, and Embedding Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf [ps.gz][pdf][bibtex] Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing Long (Leo) Zhu, Yuanhao Chen, Alan Yuille [ps.gz][pdf][bibtex] A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data Johanna M. Zumer, Hagai T. Attias, Kensuke Sekihara, Srikantan S. Nagarajan [ps.gz][pdf][bibtex] |