NIPS 2008:
Vancouver,
British Columbia,
Canada
Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou (Eds.):
Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008.
MIT Press 2009 BibTeX
- Daniel Acuña, Paul R. Schrater:
Structure Learning in Human Sequential Decision-Making.
1-8
Electronic Edition (link) BibTeX
- Ryan Adams, Iain Murray, David MacKay:
The Gaussian Process Density Sampler.
9-16
Electronic Edition (link) BibTeX
- Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah:
Online Models for Content Optimization.
17-24
Electronic Edition (link) BibTeX
- Nir Ailon:
Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking.
25-32
Electronic Edition (link) BibTeX
- Edoardo Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed Membership Stochastic Blockmodels.
33-40
Electronic Edition (link) BibTeX
- Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kanade:
Nonrigid Structure from Motion in Trajectory Space.
41-48
Electronic Edition (link) BibTeX
- Norm Aleks, Stuart Russell, Michael G. Madden, Diane Morabito, Kristan Staudenmayer, Mitchell Cohen, Geoffrey T. Manley:
Probabilistic detection of short events, with application to critical care monitoring.
49-56
Electronic Edition (link) BibTeX
- Mauricio Alvarez, Neil D. Lawrence:
Sparse Convolved Gaussian Processes for Multi-output Regression.
57-64
Electronic Edition (link) BibTeX
- Massih-Reza Amini, François Laviolette, Nicolas Usunier:
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning.
65-72
Electronic Edition (link) BibTeX
- Cédric Archambeau, Francis Bach:
Sparse probabilistic projections.
73-80
Electronic Edition (link) BibTeX
- Arthur Asuncion, Padhraic Smyth, Max Welling:
Asynchronous Distributed Learning of Topic Models.
81-88
Electronic Edition (link) BibTeX
- Peter Auer, Thomas Jaksch, Ronald Ortner:
Near-optimal Regret Bounds for Reinforcement Learning.
89-96
Electronic Edition (link) BibTeX
- Joseph Austerweil, Thomas L. Griffiths:
Analyzing human feature learning as nonparametric Bayesian inference.
97-104
Electronic Edition (link) BibTeX
- Francis Bach:
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning.
105-112
Electronic Edition (link) BibTeX
- J. Andrew Bagnell, David M. Bradley:
Differentiable Sparse Coding.
113-120
Electronic Edition (link) BibTeX
- Shai Ben-David, Margareta Ackerman:
Measures of Clustering Quality: A Working Set of Axioms for Clustering.
121-128
Electronic Edition (link) BibTeX
- Pietro Berkes, Frank Wood, Jonathan Pillow:
Characterizing neural dependencies with copula models.
129-136
Electronic Edition (link) BibTeX
- Patrice Bertail, Stéphan Clémençon, Nicolas Vayatis:
On Bootstrapping the ROC Curve.
137-144
Electronic Edition (link) BibTeX
- Steffen Bickel, Christoph Sawade, Tobias Scheffer:
Transfer Learning by Distribution Matching for Targeted Advertising.
145-152
Electronic Edition (link) BibTeX
- Matthew B. Blaschko, Arthur Gretton:
Learning Taxonomies by Dependence Maximization.
153-160
Electronic Edition (link) BibTeX
- Phil Blunsom, Trevor Cohn, Miles Osborne:
Bayesian Synchronous Grammar Induction.
161-168
Electronic Edition (link) BibTeX
- Matthew Botvinick, James An:
Goal-directed decision making in prefrontal cortex: a computational framework.
169-176
Electronic Edition (link) BibTeX
- Alexandre Bouchard-Côté, Michael I. Jordan, Dan Klein:
Efficient Inference in Phylogenetic InDel Trees.
177-184
Electronic Edition (link) BibTeX
- Jordan L. Boyd-Graber, David Blei:
Syntactic Topic Models.
185-192
Electronic Edition (link) BibTeX
- Alexander Braunstein, Zhi Wei, Shane T. Jensen, Jon D. McAuliffe:
A spatially varying two-sample recombinant coalescent, with applications to HIV escape response.
193-200
Electronic Edition (link) BibTeX
- Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári:
Online Optimization in X-Armed Bandits.
201-208
Electronic Edition (link) BibTeX
- Charles Cadieu, Bruno Olshausen:
Learning Transformational Invariants from Natural Movies.
209-216
Electronic Edition (link) BibTeX
- Ben Calderhead, Mark Girolami, Neil D. Lawrence:
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes.
217-224
Electronic Edition (link) BibTeX
- Guangzhi Cao, Charles A. Bouman:
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform.
225-232
Electronic Edition (link) BibTeX
- Peter Carbonetto, Mark Schmidt, Nando de Freitas:
An interior-point stochastic approximation method and an L1-regularized delta rule.
233-240
Electronic Edition (link) BibTeX
- Rui M. Castro, Charles Kalish, Robert Nowak, Ruichen Qian, Timothy J. Rogers, Xiaojin Zhu:
Human Active Learning.
241-248
Electronic Edition (link) BibTeX
- Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile:
Linear Classification and Selective Sampling Under Low Noise Conditions.
249-256
Electronic Edition (link) BibTeX
- Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Richard G. Baraniuk:
Sparse Signal Recovery Using Markov Random Fields.
257-264
Electronic Edition (link) BibTeX
- Kian Ming Adam Chai, Christopher K. I. Williams, Stefan Klanke, Sethu Vijayakumar:
Multi-task Gaussian Process Learning of Robot Inverse Dynamics.
265-272
Electronic Edition (link) BibTeX
- Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal:
Mortal Multi-Armed Bandits.
273-280
Electronic Edition (link) BibTeX
- Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo:
Tighter Bounds for Structured Estimation.
281-288
Electronic Edition (link) BibTeX
- Kamalika Chaudhuri, Claire Monteleoni:
Privacy-preserving logistic regression.
289-296
Electronic Edition (link) BibTeX
- Silvia Chiappa, Jens Kober, Jan Peters:
Using Bayesian Dynamical Systems for Motion Template Libraries.
297-304
Electronic Edition (link) BibTeX
- Stéphan Clémençon, Nicolas Vayatis:
Empirical performance maximization for linear rank statistics.
305-312
Electronic Edition (link) BibTeX
- Stéphan Clémençon, Nicolas Vayatis:
Overlaying classifiers: a practical approach for optimal ranking.
313-320
Electronic Edition (link) BibTeX
- Shay B. Cohen, Kevin Gimpel, Noah A. Smith:
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction.
321-328
Electronic Edition (link) BibTeX
- Kevyn Collins-Thompson:
Estimating Robust Query Models with Convex Optimization.
329-336
Electronic Edition (link) BibTeX
- Pierre-Arnaud Coquelin, Romain Deguest, Rémi Munos:
Particle Filter-based Policy Gradient in POMDPs.
337-344
Electronic Edition (link) BibTeX
- Koby Crammer, Mark Dredze, Fernando Pereira:
Exact Convex Confidence-Weighted Learning.
345-352
Electronic Edition (link) BibTeX
- Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, Yong Yu:
Translated Learning: Transfer Learning across Different Feature Spaces.
353-360
Electronic Edition (link) BibTeX
- Sanmay Das, Malik Magdon-Ismail:
Adapting to a Market Shock: Optimal Sequential Market-Making.
361-368
Electronic Edition (link) BibTeX
- Peter Dayan:
Load and Attentional Bayes.
369-376
Electronic Edition (link) BibTeX
- Ofer Dekel:
From Online to Batch Learning with Cutoff-Averaging.
377-384
Electronic Edition (link) BibTeX
- Dotan Di Castro, Dmitry Volkinshtein, Ron Meir:
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation.
385-392
Electronic Edition (link) BibTeX
- Doug Downey, Oren Etzioni:
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification.
393-400
Electronic Edition (link) BibTeX
- Miroslav Dudík, Steven J. Phillips:
Generative and Discriminative Learning with Unknown Labeling Bias.
401-408
Electronic Edition (link) BibTeX
- Laurent El Ghaoui, Assane Gueye:
A Convex Upper Bound on the Log-Partition Function for Binary Distributions.
409-416
Electronic Edition (link) BibTeX
- Gal Elidan, Stephen Gould:
Learning Bounded Treewidth Bayesian Networks.
417-424
Electronic Edition (link) BibTeX
- Dominik Endres, Peter Földiák:
Interpreting the neural code with Formal Concept Analysis.
425-432
Electronic Edition (link) BibTeX
- Lev Faivishevsky, Jacob Goldberger:
ICA based on a Smooth Estimation of the Differential Entropy.
433-440
Electronic Edition (link) BibTeX
- Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor:
Regularized Policy Iteration.
441-448
Electronic Edition (link) BibTeX
- Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal:
Resolution Limits of Sparse Coding in High Dimensions.
449-456
Electronic Edition (link) BibTeX
- Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky:
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems.
457-464
Electronic Edition (link) BibTeX
- Paolo Frasconi, Andrea Passerini:
Predicting the Geometry of Metal Binding Sites from Protein Sequence.
465-472
Electronic Edition (link) BibTeX
- Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schölkopf:
Characteristic Kernels on Groups and Semigroups.
473-480
Electronic Edition (link) BibTeX
- C. C. Alan Fung, K. Y. Michael Wong, Si Wu:
Tracking Changing Stimuli in Continuous Attractor Neural Networks.
481-488
Electronic Edition (link) BibTeX
- Pierre Garrigues, Laurent El Ghaoui:
An Homotopy Algorithm for the Lasso with Online Observations.
489-496
Electronic Edition (link) BibTeX
- Jan Gasthaus, Frank Wood, Dilan Görür, Yee Whye Teh:
Dependent Dirichlet Process Spike Sorting.
497-504
Electronic Edition (link) BibTeX
- Sharad Goel, John Langford, Alexander L. Strehl:
Predictive Indexing for Fast Search.
505-512
Electronic Edition (link) BibTeX
- Vicenç Gómez, Andreas Kaltenbrunner, Vicente López, Hilbert J. Kappen:
Self-organization using synaptic plasticity.
513-520
Electronic Edition (link) BibTeX
- Dilan Görür, Yee Whye Teh:
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering.
521-528
Electronic Edition (link) BibTeX
- Hans Peter Graf, Srihari Cadambi, Igor Durdanovic, Venkata Jakkula, Murugan Sankaradass, Eric Cosatto, Srimat T. Chakradhar:
A Massively Parallel Digital Learning Processor.
529-536
Electronic Edition (link) BibTeX
- Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu:
Support Vector Machines with a Reject Option.
537-544
Electronic Edition (link) BibTeX
- Alex Graves, Jürgen Schmidhuber:
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks.
545-552
Electronic Edition (link) BibTeX
- Thomas L. Griffiths, Chris Lucas, Joseph Williams, Michael L. Kalish:
Modeling human function learning with Gaussian processes.
553-560
Electronic Edition (link) BibTeX
- Moritz Grosse-Wentrup:
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing.
561-568
Electronic Edition (link) BibTeX
- Yuhong Guo:
Supervised Exponential Family Principal Component Analysis via Convex Optimization.
569-576
Electronic Edition (link) BibTeX
- Abhinav Gupta, Jianbo Shi, Larry Davis:
A "Shape Aware" Model for semi-supervised Learning of Objects and its Context.
577-584
Electronic Edition (link) BibTeX
- Ralf M. Haefner, Bruce G. Cumming:
An improved estimator of Variance Explained in the presence of noise.
585-592
Electronic Edition (link) BibTeX
- Adrian Haith, Carl P. T. Jackson, R. Chris Miall, Sethu Vijayakumar:
Unifying the Sensory and Motor Components of Sensorimotor Adaptation.
593-600
Electronic Edition (link) BibTeX
- Jihun Ham, Daniel D. Lee:
Extended Grassmann Kernels for Subspace-Based Learning.
601-608
Electronic Edition (link) BibTeX
- Zaïd Harchaoui, Francis Bach, Eric Moulines:
Kernel Change-point Analysis.
609-616
Electronic Edition (link) BibTeX
- Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte:
Estimating vector fields using sparse basis field expansions.
617-624
Electronic Edition (link) BibTeX
- Xuming He, Richard S. Zemel:
Learning Hybrid Models for Image Annotation with Partially Labeled Data.
625-632
Electronic Edition (link) BibTeX
- Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller:
Shape-Based Object Localization for Descriptive Classification.
633-640
Electronic Edition (link) BibTeX
- Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller:
Cascaded Classification Models: Combining Models for Holistic Scene Understanding.
641-648
Electronic Edition (link) BibTeX
- Mark Herbster, Guy Lever, Massimiliano Pontil:
Online Prediction on Large Diameter Graphs.
649-656
Electronic Edition (link) BibTeX
- Mark Herbster, Massimiliano Pontil, Sergio Rojas Galeano:
Fast Prediction on a Tree.
657-664
Electronic Edition (link) BibTeX
- N. Jeremy Hill, Jason Farquhar, Suzanna Martens, Felix Bießmann, Bernhard Schölkopf:
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance.
665-672
Electronic Edition (link) BibTeX
- Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.:
QUIC-SVD: Fast SVD Using Cosine Trees.
673-680
Electronic Edition (link) BibTeX
- Xiaodi Hou, Liqing Zhang:
Dynamic visual attention: searching for coding length increments.
681-688
Electronic Edition (link) BibTeX
- Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf:
Nonlinear causal discovery with additive noise models.
689-696
Electronic Edition (link) BibTeX
- Jim C. Huang, Brendan J. Frey:
Structured ranking learning using cumulative distribution networks.
697-704
Electronic Edition (link) BibTeX
- Ling Huang, Donghui Yan, Michael I. Jordan, Nina Taft:
Spectral Clustering with Perturbed Data.
705-712
Electronic Edition (link) BibTeX
- Juan Huo, Zhijun Yang, Alan F. Murray:
Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl.
713-720
Electronic Edition (link) BibTeX
- Zakria Hussain, John Shawe-Taylor:
Theory of matching pursuit.
721-728
Electronic Edition (link) BibTeX
- Quentin J. M. Huys, Joshua T. Vogelstein, Peter Dayan:
Psychiatry: Insights into depression through normative decision-making models.
729-736
Electronic Edition (link) BibTeX
- Michael Isard, John MacCormick, Kannan Achan:
Continuously-adaptive discretization for message-passing algorithms.
737-744
Electronic Edition (link) BibTeX
- Laurent Jacob, Francis Bach, Jean-Philippe Vert:
Clustered Multi-Task Learning: A Convex Formulation.
745-752
Electronic Edition (link) BibTeX
- Srikanth Jagabathula, Devavrat Shah:
Inferring rankings under constrained sensing.
753-760
Electronic Edition (link) BibTeX
- Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kristen Grauman:
Online Metric Learning and Fast Similarity Search.
761-768
Electronic Edition (link) BibTeX
- Viren Jain, H. Sebastian Seung:
Natural Image Denoising with Convolutional Networks.
769-776
Electronic Edition (link) BibTeX
- Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye:
Multi-label Multiple Kernel Learning.
777-784
Electronic Edition (link) BibTeX
- Matt Jones, Michael C. Mozer, Sachiko Kinoshita:
Optimal Response Initiation: Why Recent Experience Matters.
785-792
Electronic Edition (link) BibTeX
- Sham M. Kakade, Karthik Sridharan, Ambuj Tewari:
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization.
793-800
Electronic Edition (link) BibTeX
- Sham M. Kakade, Ambuj Tewari:
On the Generalization Ability of Online Strongly Convex Programming Algorithms.
801-808
Electronic Edition (link) BibTeX
- Takafumi Kanamori, Shohei Hido, Masashi Sugiyama:
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection.
809-816
Electronic Edition (link) BibTeX
- Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Masato Okada:
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM.
817-824
Electronic Edition (link) BibTeX
- Charles Kemp, Fei Xu:
An ideal observer model of infant object perception.
825-832
Electronic Edition (link) BibTeX
- JooSeuk Kim, Clayton Scott:
Performance analysis for L_2 kernel classification.
833-840
Electronic Edition (link) BibTeX
- Tae-Kyun Kim, Roberto Cipolla:
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features.
841-856
Electronic Edition (link) BibTeX
- Jens Kober, Jan Peters:
Policy Search for Motor Primitives in Robotics.
849-856
Electronic Edition (link) BibTeX
- Christoph Kolodziejski, Bernd Porr, Minija Tamosiunaite, Florentin Wörgötter:
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor.
857-864
Electronic Edition (link) BibTeX
- Nikos Komodakis, Nikos Paragios, Georgios Tziritas:
Clustering via LP-based Stabilities.
865-872
Electronic Edition (link) BibTeX
- Lukas Kroc, Ashish Sabharwal, Bart Selman:
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation.
873-880
Electronic Edition (link) BibTeX
- Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic:
Scalable Algorithms for String Kernels with Inexact Matching.
881-888
Electronic Edition (link) BibTeX
- M. Pawan Kumar, Philip H. S. Torr:
Improved Moves for Truncated Convex Models.
889-896
Electronic Edition (link) BibTeX
- Simon Lacoste-Julien, Fei Sha, Michael I. Jordan:
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification.
897-904
Electronic Edition (link) BibTeX
- John Langford, Lihong Li, Tong Zhang:
Sparse Online Learning via Truncated Gradient.
905-912
Electronic Edition (link) BibTeX
- Longin Jan Latecki, ChengEn Lu, Marc Sobel, Xiang Bai:
Multiscale Random Fields with Application to Contour Grouping.
913-920
Electronic Edition (link) BibTeX
- Jonathan Le Roux, Alain de Cheveigné, Lucas C. Parra:
Adaptive Template Matching with Shift-Invariant Semi-NMF.
921-928
Electronic Edition (link) BibTeX
- Dongryeol Lee, Alexander G. Gray:
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method.
929-936
Electronic Edition (link) BibTeX
- Roger P. Levy, Florencia Reali, Thomas L. Griffiths:
Modeling the effects of memory on human online sentence processing with particle filters.
937-944
Electronic Edition (link) BibTeX
- Jeremy Lewi, Robert J. Butera, David M. Schneider, Sarah M. N. Woolley, Liam Paninski:
Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds.
945-952
Electronic Edition (link) BibTeX
- Ping Li, Kenneth Ward Church, Trevor Hastie:
One sketch for all: Theory and Application of Conditional Random Sampling.
953-960
Electronic Edition (link) BibTeX
- Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh:
Dimensionality Reduction for Data in Multiple Feature Representations.
961-968
Electronic Edition (link) BibTeX
- Han Liu, John D. Lafferty, Larry Wasserman:
Nonparametric regression and classification with joint sparsity constraints.
969-976
Electronic Edition (link) BibTeX
- Philip M. Long, Rocco A. Servedio:
Adaptive Martingale Boosting.
977-984
Electronic Edition (link) BibTeX
- Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett:
A rational model of preference learning and choice prediction by children.
985-992
Electronic Edition (link) BibTeX
- Elliot A. Ludvig, Richard S. Sutton, Eric Verbeek, E. James Kehoe:
A computational model of hippocampal function in trace conditioning.
993-1000
Electronic Edition (link) BibTeX
- Gediminas Luksys, Carmen Sandi, Wulfram Gerstner:
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning.
1001-1008
Electronic Edition (link) BibTeX
- Siwei Lyu, Eero P. Simoncelli:
Reducing statistical dependencies in natural signals using radial Gaussianization.
1009-1016
Electronic Edition (link) BibTeX
- Lester Mackey:
Deflation Methods for Sparse PCA.
1017-1024
Electronic Edition (link) BibTeX
- Markus Maier, Ulrike von Luxburg, Matthias Hein:
Influence of graph construction on graph-based clustering measures.
1025-1032
Electronic Edition (link) BibTeX
- Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman:
Supervised Dictionary Learning.
1033-1040
Electronic Edition (link) BibTeX
- Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh:
Domain Adaptation with Multiple Sources.
1041-1048
Electronic Edition (link) BibTeX
- Hamed Masnadi-Shirazi, Nuno Vasconcelos:
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost.
1049-1056
Electronic Edition (link) BibTeX
- Julian John McAuley, Tibério S. Caetano, Alexander J. Smola:
Robust Near-Isometric Matching via Structured Learning of Graphical Models.
1057-1064
Electronic Edition (link) BibTeX
- Mahdi Milani Fard, Joelle Pineau:
MDPs with Non-Deterministic Policies.
1065-1072
Electronic Edition (link) BibTeX
- Tom Minka, John M. Winn:
Gates.
1073-1080
Electronic Edition (link) BibTeX
- Andriy Mnih, Geoffrey E. Hinton:
A Scalable Hierarchical Distributed Language Model.
1081-1088
Electronic Edition (link) BibTeX
- Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani:
Bayesian Exponential Family PCA.
1089-1096
Electronic Edition (link) BibTeX
- Mehryar Mohri, Afshin Rostamizadeh:
Rademacher Complexity Bounds for Non-I.I.D. Processes.
1097-1104
Electronic Edition (link) BibTeX
- Joris M. Mooij, Hilbert J. Kappen:
Bounds on marginal probability distributions.
1105-1112
Electronic Edition (link) BibTeX
- Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C. Raykar, Ramani Duraiswami, Larry S. Davis:
Automatic online tuning for fast Gaussian summation.
1113-1120
Electronic Edition (link) BibTeX
- Mehmet K. Muezzinoglu, Alexander Vergara, Ramón Huerta, Thomas Nowotny, Nikolai Rulkov, Henry D. I. Abarbanel, Allen I. Selverston, Mikhail I. Rabinovich:
Artificial Olfactory Brain for Mixture Identification.
1121-1128
Electronic Edition (link) BibTeX
- Indraneel Mukherjee, David M. Blei:
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation.
1129-1136
Electronic Edition (link) BibTeX
- Iain Murray, Ruslan Salakhutdinov:
Evaluating probabilities under high-dimensional latent variable models.
1137-1144
Electronic Edition (link) BibTeX
- Vinod Nair, Geoffrey E. Hinton:
Implicit Mixtures of Restricted Boltzmann Machines.
1145-1152
Electronic Edition (link) BibTeX
- Rama Natarajan, Iain Murray, Ladan Shams, Richard S. Zemel:
Characterizing response behavior in multisensory perception with conflicting cues.
1153-1160
Electronic Edition (link) BibTeX
- Sahand Negahban, Martin J. Wainwright:
Phase transitions for high-dimensional joint support recovery.
1161-1168
Electronic Edition (link) BibTeX
- Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass:
Hebbian Learning of Bayes Optimal Decisions.
1169-1176
Electronic Edition (link) BibTeX
- Gerhard Neumann, Jan Peters:
Fitted Q-iteration by Advantage Weighted Regression.
1177-1184
Electronic Edition (link) BibTeX
- Minh Hoai Nguyen, Fernando De la Torre:
Robust Kernel Principal Component Analysis.
1185-1192
Electronic Edition (link) BibTeX
- Duy Nguyen-Tuong, Matthias Seeger, Jan Peters:
Local Gaussian Process Regression for Real Time Online Model Learning.
1193-1200
Electronic Edition (link) BibTeX
- Richard Nock, Frank Nielsen:
On the Efficient Minimization of Classification Calibrated Surrogates.
1201-1208
Electronic Edition (link) BibTeX
- Ali Nouri, Michael L. Littman:
Multi-resolution Exploration in Continuous Spaces.
1209-1216
Electronic Edition (link) BibTeX
- Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan:
High-dimensional support union recovery in multivariate regression.
1217-1224
Electronic Edition (link) BibTeX
- Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi, Toshihiko Hosoya, Masato Okada:
A general framework for investigating how far the decoding process in the brain can be simplified.
1225-1232
Electronic Edition (link) BibTeX
- Arno Onken, Steffen Grünewälder, Matthias Munk, Klaus Obermayer:
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex.
1233-1240
Electronic Edition (link) BibTeX
- Manfred Opper, Ulrich Paquet, Ole Winther:
Improving on Expectation Propagation.
1241-1248
Electronic Edition (link) BibTeX
- Jean-Philippe Pellet, André Elisseeff:
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets.
1249-1256
Electronic Edition (link) BibTeX
- Fernando Pérez-Cruz:
Estimation of Information Theoretic Measures for Continuous Random Variables.
1257-1264
Electronic Edition (link) BibTeX
- Marek Petrik, Bruno Scherrer:
Biasing Approximate Dynamic Programming with a Lower Discount Factor.
1265-1272
Electronic Edition (link) BibTeX
- Adam Ponzi, Jeff Wickens:
Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons.
1273-1280
Electronic Edition (link) BibTeX
- Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Hang Li:
Global Ranking Using Continuous Conditional Random Fields.
1281-1288
Electronic Edition (link) BibTeX
- Novi Quadrianto, Le Song, Alex J. Smola:
Kernelized Sorting.
1289-1296
Electronic Edition (link) BibTeX
- Gerald Quon, Yee Whye Teh, Esther Chan, Timothy R. Hughes, Michael Brudno, Quaid Morris:
A mixture model for the evolution of gene expression in non-homogeneous datasets.
1297-1304
Electronic Edition (link) BibTeX
- Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett, Jorge Silva:
Near-minimax recursive density estimation on the binary hypercube.
1305-1312
Electronic Edition (link) BibTeX
- Ali Rahimi, Benjamin Recht:
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning.
1313-1320
Electronic Edition (link) BibTeX
- Piyush Rai, Hal Daumé III:
The Infinite Hierarchical Factor Regression Model.
1321-1328
Electronic Edition (link) BibTeX
- Pradeep Ravikumar, Garvesh Raskutti, Martin Wainwright, Bin Yu:
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of l1-regularized MLE.
1329-1336
Electronic Edition (link) BibTeX
- Pradeep Ravikumar, Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick Kay, Jack L. Gallant:
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images.
1337-1344
Electronic Edition (link) BibTeX
- Debajyoti Ray, Brooks King-Casas, P. Read Montague, Peter Dayan:
Bayesian Model of Behaviour in Economic Games.
1345-1352
Electronic Edition (link) BibTeX
- Jeremy Reynolds, Michael C. Mozer:
Temporal Dynamics of Cognitive Control.
1353-1360
Electronic Edition (link) BibTeX
- John W. Roberts, Russ Tedrake:
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms.
1361-1368
Electronic Edition (link) BibTeX
- Joshua W. Robinson, Alexander J. Hartemink:
Non-stationary dynamic Bayesian networks.
1369-1376
Electronic Edition (link) BibTeX
- Daniel M. Roy, Yee Whye Teh:
The Mondrian Process.
1377-1384
Electronic Edition (link) BibTeX
- Paul Ruvolo, Ian R. Fasel, Javier R. Movellan:
Optimization on a Budget: A Reinforcement Learning Approach.
1385-1392
Electronic Edition (link) BibTeX
- Kate Saenko, Trevor Darrell:
Unsupervised Learning of Visual Sense Models for Polysemous Words.
1393-1400
Electronic Edition (link) BibTeX
- Ted Sandler, John Blitzer, Partha Pratim Talukdar, Lyle H. Ungar:
Regularized Learning with Networks of Features.
1401-1408
Electronic Edition (link) BibTeX
- Tanya Schmah, Geoffrey E. Hinton, Richard Zemel, Steven L. Small, Stephen C. Strother:
Generative versus discriminative training of RBMs for classification of fMRI images.
1409-1416
Electronic Edition (link) BibTeX
- Nicol N. Schraudolph, Dmitry Kamenetsky:
Efficient Exact Inference in Planar Ising Models.
1417-1424
Electronic Edition (link) BibTeX
- Benjamin Schrauwen, Lars Buesing, Robert A. Legenstein:
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing.
1425-1432
Electronic Edition (link) BibTeX
- Gabriele Schweikert, Christian Widmer, Bernhard Schölkopf, Gunnar Rätsch:
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis.
1433-1440
Electronic Edition (link) BibTeX
- Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf:
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences.
1441-1448
Electronic Edition (link) BibTeX
- Mohak Shah:
Risk Bounds for Randomized Sample Compressed Classifiers.
1449-1456
Electronic Edition (link) BibTeX
- Shai Shalev-Shwartz, Sham M. Kakade:
Mind the Duality Gap: Logarithmic regret algorithms for online optimization.
1457-1464
Electronic Edition (link) BibTeX
- Ohad Shamir, Naftali Tishby:
On the Reliability of Clustering Stability in the Large Sample Regime.
1465-1472
Electronic Edition (link) BibTeX
- Chunhua Shen, Alan Welsh, Lei Wang:
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning.
1473-1480
Electronic Edition (link) BibTeX
- Pannagadatta K. Shivaswamy, Tony Jebara:
Relative Margin Machines.
1481-1488
Electronic Edition (link) BibTeX
- Lavi Shpigelman, Hagai Lalazar, Eilon Vaadia:
Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control.
1489-1496
Electronic Edition (link) BibTeX
- Özgür Simsek, Andrew G. Barto:
Skill Characterization Based on Betweenness.
1497-1504
Electronic Edition (link) BibTeX
- Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovic:
Regularized Co-Clustering with Dual Supervision.
1505-1512
Electronic Edition (link) BibTeX
- Aarti Singh, Robert D. Nowak, Xiaojin Zhu:
Unlabeled data: Now it helps, now it doesn't.
1513-1520
Electronic Edition (link) BibTeX
- Fabian H. Sinz, Matthias Bethge:
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction.
1521-1528
Electronic Edition (link) BibTeX
- Andrew Smith, Xiaoming Huo, Hongyuan Zha:
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm.
1529-1536
Electronic Edition (link) BibTeX
- David Sontag, Amir Globerson, Tommi Jaakkola:
Clusters and Coarse Partitions in LP Relaxations.
1537-1544
Electronic Edition (link) BibTeX
- Karthik Sridharan, Shai Shalev-Shwartz, Nathan Srebro:
Fast Rates for Regularized Objectives.
1545-1552
Electronic Edition (link) BibTeX
- Praveen Srinivasan, Liming Wang, Jianbo Shi:
Grouping Contours Via a Related Image.
1553-1560
Electronic Edition (link) BibTeX
- Florian Steinke, Matthias Hein:
Non-parametric Regression Between Manifolds.
1561-1568
Electronic Edition (link) BibTeX
- Ingo Steinwart, Andreas Christmann:
Sparsity of SVMs that use the epsilon-insensitive loss.
1569-1576
Electronic Edition (link) BibTeX
- Matthew J. Streeter, Daniel Golovin:
An Online Algorithm for Maximizing Submodular Functions.
1577-1584
Electronic Edition (link) BibTeX
- Erik B. Sudderth, Michael I. Jordan:
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes.
1585-1592
Electronic Edition (link) BibTeX
- Ilya Sutskever, Geoffrey E. Hinton:
Using matrices to model symbolic relationship.
1593-1600
Electronic Edition (link) BibTeX
- Ilya Sutskever, Geoffrey E. Hinton, Graham W. Taylor:
The Recurrent Temporal Restricted Boltzmann Machine.
1601-1608
Electronic Edition (link) BibTeX
- Richard S. Sutton, Csaba Szepesvári, Hamid Reza Maei:
A Convergent O(n) Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation.
1609-1616
Electronic Edition (link) BibTeX
- Erik Talvitie, Satinder Singh:
Simple Local Models for Complex Dynamical Systems.
1617-1624
Electronic Edition (link) BibTeX
- Jennifer Tam, Jiri Simsa, Sean Hyde, Luis Von Ahn:
Breaking Audio CAPTCHAs.
1625-1632
Electronic Edition (link) BibTeX
- Yik-Cheung Tam, Tanja Schultz:
Correlated Bigram LSA for Unsupervised Language Model Adaptation.
1633-1640
Electronic Edition (link) BibTeX
- Michael Tangermann, Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Carmen Vidaurre, Klaus-Robert Müller:
Playing Pinball with non-invasive BCI.
1641-1648
Electronic Edition (link) BibTeX
- Jonathan Taylor, Doina Precup, Prakash Panangaden:
Bounding Performance Loss in Approximate MDP Homomorphisms.
1649-1656
Electronic Edition (link) BibTeX
- Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh:
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data.
1657-1664
Electronic Edition (link) BibTeX
- Robert E. Tillman, David Danks, Clark Glymour:
Integrating Locally Learned Causal Structures with Overlapping Variables.
1665-1672
Electronic Edition (link) BibTeX
- Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal:
Bayesian Kernel Shaping for Learning Control.
1673-1680
Electronic Edition (link) BibTeX
- Michalis Titsias, Neil D. Lawrence, Magnus Rattray:
Efficient Sampling for Gaussian Process Inference using Control Variables.
1681-1688
Electronic Edition (link) BibTeX
- Michael T. Todd, Yael Niv, Jonathan D. Cohen:
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement.
1689-1696
Electronic Edition (link) BibTeX
- Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani:
The Infinite Factorial Hidden Markov Model.
1697-1704
Electronic Edition (link) BibTeX
- Sudheendra Vijayanarasimhan, Kristen Grauman:
Multi-Level Active Prediction of Useful Image Annotations for Recognition.
1705-1712
Electronic Edition (link) BibTeX
- Christian Walder, Bernhard Schölkopf:
Diffeomorphic Dimensionality Reduction.
1713-1720
Electronic Edition (link) BibTeX
- Yang Wang, Greg Mori:
Learning a discriminative hidden part model for human action recognition.
1721-1728
Electronic Edition (link) BibTeX
- Yizao Wang, Jean-Yves Audibert, Rémi Munos:
Algorithms for Infinitely Many-Armed Bandits.
1729-1736
Electronic Edition (link) BibTeX
- Kilian Q. Weinberger, Olivier Chapelle:
Large Margin Taxonomy Embedding for Document Categorization.
1737-1744
Electronic Edition (link) BibTeX
- Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Brügge Jimison, Frank Ohl, Misha Pavel:
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree.
1745-1752
Electronic Edition (link) BibTeX
- Yair Weiss, Antonio B. Torralba, Robert Fergus:
Spectral Hashing.
1753-1760
Electronic Edition (link) BibTeX
- Ydo Wexler, Christopher Meek:
MAS: a multiplicative approximation scheme for probabilistic inference.
1761-1768
Electronic Edition (link) BibTeX
- Klaus Wimmer, Marcel Stimberg, Robert Martin, Lars Schwabe, Jorge Mariño, James Schummers, David C. Lyon, Mriganka Sur, Klaus Obermayer:
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1.
1769-1776
Electronic Edition (link) BibTeX
- David Wipf, Julia Owen, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG.
1777-1784
Electronic Edition (link) BibTeX
- Qiang Wu, Sayan Mukherjee, Feng Liang:
Localized Sliced Inverse Regression.
1785-1792
Electronic Edition (link) BibTeX
- Shuang Wu, Hongjing Lu, Alan L. Yuille:
Model selection and velocity estimation using novel priors for motion patterns.
1793-1800
Electronic Edition (link) BibTeX
- Huan Xu, Constantine Caramanis, Shie Mannor:
Robust Regression and Lasso.
1801-1808
Electronic Edition (link) BibTeX
- Jing Xu, Thomas L. Griffiths:
How memory biases affect information transmission: A rational analysis of serial reproduction.
1809-1816
Electronic Edition (link) BibTeX
- Peng Xu, Timothy K. Horiuchi, Pamela Abshire:
Short-Term Depression in VLSI Stochastic Synapse.
1817-1824
Electronic Edition (link) BibTeX
- Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu:
An Extended Level Method for Efficient Multiple Kernel Learning.
1825-1832
Electronic Edition (link) BibTeX
- Benjamin Yackley, Eduardo Corona, Terran Lane:
Bayesian Network Score Approximation using a Metagraph Kernel.
1833-1840
Electronic Edition (link) BibTeX
- Yoshihiro Yamanishi:
Supervised Bipartite Graph Inference.
1841-1848
Electronic Edition (link) BibTeX
- Haixuan Yang, Irwin King, Michael R. Lyu:
Learning with Consistency between Inductive Functions and Kernels.
1849-1856
Electronic Edition (link) BibTeX
- Liu Yang, Rong Jin, Rahul Sukthankar:
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization.
1857-1864
Electronic Edition (link) BibTeX
- Zhi Yang, Qi Zhao, Wentai Liu:
Spike Feature Extraction Using Informative Samples.
1865-1872
Electronic Edition (link) BibTeX
- Angela J. Yu, Jonathan D. Cohen:
Sequential effects: Superstition or rational behavior?
1873-1880
Electronic Edition (link) BibTeX
- Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani:
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
1881-1888
Electronic Edition (link) BibTeX
- Kai Yu, Wei Xu, Yihong Gong:
Deep Learning with Kernel Regularization for Visual Recognition.
1889-1896
Electronic Edition (link) BibTeX
- Chao Yuan, Claus Neubauer:
Variational Mixture of Gaussian Process Experts.
1897-1904
Electronic Edition (link) BibTeX
- Luke S. Zettlemoyer, Brian Milch, Leslie Pack Kaelbling:
Multi-Agent Filtering with Infinitely Nested Beliefs.
1905-1912
Electronic Edition (link) BibTeX
- Liang Zhang, Deepak Agarwal:
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models.
1913-1920
Electronic Edition (link) BibTeX
- Tong Zhang:
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models.
1921-1928
Electronic Edition (link) BibTeX
- Tong Zhang:
Multi-stage Convex Relaxation for Learning with Sparse Regularization.
1929-1936
Electronic Edition (link) BibTeX
- Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smola:
Kernel Measures of Independence for non-iid Data.
1937-1944
Electronic Edition (link) BibTeX
- Yi Zhang, Jeff Schneider, Artur Dubrawski:
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text.
1945-1952
Electronic Edition (link) BibTeX
- Deli Zhao, Xiaoou Tang:
Cyclizing Clusters via Zeta Function of a Graph.
1953-1960
Electronic Edition (link) BibTeX
- Zhengdong Lu, Todd K. Leen, Jeffrey Kaye:
Hierarchical Fisher Kernels for Longitudinal Data.
1961-1968
Electronic Edition (link) BibTeX
- Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung:
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice.
1969-1976
Electronic Edition (link) BibTeX
- Jun Zhu, Eric P. Xing, Bo Zhang:
Partially Observed Maximum Entropy Discrimination Markov Networks.
1977-1984
Electronic Edition (link) BibTeX
- Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan L. Yuille:
Recursive Segmentation and Recognition Templates for 2D Parsing.
1985-1992
Electronic Edition (link) BibTeX
- Shenghuo Zhu, Kai Yu, Yihong Gong:
Stochastic Relational Models for Large-scale Dyadic Data using MCMC.
1993-2000
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:31:25 2009
by Michael Ley (ley@uni-trier.de)
