| 2010 | A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping. Péter Torma, András György, Csaba Szepesvári |
| 2010 | A Potential-based Framework for Online Multi-class Learning with Partial Feedback. Shijun Wang, Rong Jin, Hamed Valizadegan |
| 2010 | A Regularization Approach to Nonlinear Variable Selection. Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Alessandro Verri, Silvia Villa |
| 2010 | A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat |
| 2010 | A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. Silvia Pandolfi, Francesco Bartolucci, Nial Friel |
| 2010 | A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra. Ji Won Yoon, Simon P. Wilson, K. Hun Mok |
| 2010 | Active Sequential Learning with Tactile Feedback. Hannes P. Saal, Jo-Anne Ting, Sethu Vijayakumar |
| 2010 | An Alternative Prior Process for Nonparametric Bayesian Clustering. Hanna M. Wallach, Shane T. Jensen, Lee H. Dicker, Katherine A. Heller |
| 2010 | Approximate parameter inference in a stochastic reaction-diffusion model. Andreas Ruttor, Manfred Opper |
| 2010 | Approximation of hidden Markov models by mixtures of experts with application to particle filtering. Jimmy Olsson, Jonas Ströjby |
| 2010 | Bayesian Gaussian Process Latent Variable Model. Michalis K. Titsias, Neil D. Lawrence |
| 2010 | Bayesian Generalized Kernel Models. Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. Jordan |
| 2010 | Bayesian Online Learning for Multi-label and Multi-variate Performance Measures. Xinhua Zhang, Thore Graepel, Ralf Herbrich |
| 2010 | Bayesian structure discovery in Bayesian networks with less space. Pekka Parviainen, Mikko Koivisto |
| 2010 | Bayesian variable order Markov models. Christos Dimitrakakis |
| 2010 | Boosted Optimization for Network Classification. Timothy Hancock, Hiroshi Mamitsuka |
| 2010 | Coherent Inference on Optimal Play in Game Trees. Philipp Hennig, David H. Stern, Thore Graepel |
| 2010 | Collaborative Filtering on a Budget. Alexandros Karatzoglou, Alexander J. Smola, Markus Weimer |
| 2010 | Collaborative Filtering via Rating Concentration. Bert Huang, Tony Jebara |
| 2010 | Combining Experiments to Discover Linear Cyclic Models with Latent Variables. Frederick Eberhardt, Patrik O. Hoyer, Richard Scheines |
| 2010 | Conditional Density Estimation via Least-Squares Density Ratio Estimation. Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara |
| 2010 | Contextual Multi-Armed Bandits. Tyler Lu, Dávid Pál, Martin Pal |
| 2010 | Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials. Mark Schmidt, Kevin P. Murphy |
| 2010 | Convexity of Proper Composite Binary Losses. Mark D. Reid, Robert C. Williamson |
| 2010 | Dense Message Passing for Sparse Principal Component Analysis. Kevin Sharp, Magnus Rattray |
| 2010 | Dependent Indian Buffet Processes. Sinead Williamson, Peter Orbanz, Zoubin Ghahramani |
| 2010 | Descent Methods for Tuning Parameter Refinement. Alexander Lorbert, Peter J. Ramadge |
| 2010 | Detecting Weak but Hierarchically-Structured Patterns in Networks. Aarti Singh, Robert D. Nowak, A. Robert Calderbank |
| 2010 | Deterministic Bayesian inference for the p* model. Haakon Michael Austad, Nial Friel |
| 2010 | Dirichlet Process Mixtures of Generalized Linear Models. Lauren Hannah, David M. Blei, Warren B. Powell |
| 2010 | Discriminative Topic Segmentation of Text and Speech. Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein |
| 2010 | Efficient Learning of Deep Boltzmann Machines. Ruslan Salakhutdinov, Hugo Larochelle |
| 2010 | Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. Mauricio A. Álvarez, David Luengo, Michalis K. Titsias, Neil D. Lawrence |
| 2010 | Efficient Reductions for Imitation Learning. Stéphane Ross, Drew Bagnell |
| 2010 | Elliptical slice sampling. Iain Murray, Ryan Prescott Adams, David J. C. MacKay |
| 2010 | Empirical Bernstein Boosting. Pannagadatta K. Shivaswamy, Tony Jebara |
| 2010 | Exclusive Lasso for Multi-task Feature Selection. Yang Zhou, Rong Jin, Steven C. H. Hoi |
| 2010 | Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net. Alexander Lorbert, David J. Eis, Victoria Kostina, David M. Blei, Peter J. Ramadge |
| 2010 | Exploiting Feature Covariance in High-Dimensional Online Learning. Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence K. Saul, Fernando Pereira |
| 2010 | Exploiting Within-Clique Factorizations in Junction-Tree Algorithms. Julian J. McAuley, Tibério S. Caetano |
| 2010 | Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images. Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E. Hinton |
| 2010 | Factorized Orthogonal Latent Spaces. Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell |
| 2010 | Fast Active-set-type Algorithms for L1-regularized Linear Regression. Jingu Kim, Haesun Park |
| 2010 | Feature Selection using Multiple Streams. Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar |
| 2010 | Fluid Dynamics Models for Low Rank Discriminant Analysis. Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee |
| 2010 | Focused Belief Propagation for Query-Specific Inference. Anton Chechetka, Carlos Guestrin |
| 2010 | Gaussian processes with monotonicity information. Jaakko Riihimäki, Aki Vehtari |
| 2010 | Graphical Gaussian modelling of multivariate time series with latent variables. Michael Eichler |
| 2010 | Guarantees for Approximate Incremental SVMs. Nicolas Usunier, Antoine Bordes, Léon Bottou |
| 2010 | HOP-MAP: Efficient Message Passing with High Order Potentials. Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel |
| 2010 | Half Transductive Ranking. Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri |
| 2010 | Hartigan's Method: k-means Clustering without Voronoi. Matus Telgarsky, Andrea Vattani |
| 2010 | Identifying Cause and Effect on Discrete Data using Additive Noise Models. Jonas Peters, Dominik Janzing, Bernhard Schölkopf |
| 2010 | Impossibility Theorems for Domain Adaptation. Shai Ben-David, Tyler Lu, Teresa Luu, Dávid Pál |
| 2010 | Improving posterior marginal approximations in latent Gaussian models. Botond Cseke, Tom Heskes |
| 2010 | Incremental Sparsification for Real-time Online Model Learning. Duy Nguyen-Tuong, Jan Peters |
| 2010 | Inductive Principles for Restricted Boltzmann Machine Learning. Benjamin M. Marlin, Kevin Swersky, Bo Chen, Nando de Freitas |
| 2010 | Inference and Learning in Networks of Queues. Charles Sutton, Michael I. Jordan |
| 2010 | Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks. Nikolai Slavov |
| 2010 | Infinite Predictor Subspace Models for Multitask Learning. Piyush Rai, Hal Daumé III |
| 2010 | Kernel Partial Least Squares is Universally Consistent. Gilles Blanchard, Nicole Krämer |
| 2010 | Learning Bayesian Network Structure using LP Relaxations. Tommi S. Jaakkola, David A. Sontag, Amir Globerson, Marina Meila |
| 2010 | Learning Causal Structure from Overlapping Variable Sets. Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G. Tollis |
| 2010 | Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity. Sham M. Kakade, Ohad Shamir, Karthik Sindharan, Ambuj Tewari |
| 2010 | Learning Nonlinear Dynamic Models from Non-sequenced Data. Tzu-Kuo Huang, Le Song, Jeff G. Schneider |
| 2010 | Learning Policy Improvements with Path Integrals. Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal |
| 2010 | Learning the Structure of Deep Sparse Graphical Models. Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghahramani |
| 2010 | Learning with Blocks: Composite Likelihood and Contrastive Divergence. Arthur U. Asuncion, Qiang Liu, Alexander Ihler, Padhraic Smyth |
| 2010 | Locally Linear Denoising on Image Manifolds. Dian Gong, Fei Sha, Gérard G. Medioni |
| 2010 | Mass Fatality Incident Identification based on nuclear DNA evidence. Fabio Corradi |
| 2010 | Matrix-Variate Dirichlet Process Mixture Models. Zhihua Zhang, Guang Dai, Michael I. Jordan |
| 2010 | Maximum-likelihood learning of cumulative distribution functions on graphs. Jim C. Huang, Nebojsa Jojic |
| 2010 | Model-Free Monte Carlo-like Policy Evaluation. Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst |
| 2010 | Modeling annotator expertise: Learning when everybody knows a bit of something. Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy |
| 2010 | Multi-Task Learning using Generalized t Process. Yu Zhang, Dit-Yan Yeung |
| 2010 | Multiclass-Multilabel Classification with More Classes than Examples. Ofer Dekel, Ohad Shamir |
| 2010 | Multitask Learning for Brain-Computer Interfaces. Morteza Alamgir, Moritz Grosse-Wentrup, Yasemin Altun |
| 2010 | Near-Optimal Evasion of Convex-Inducing Classifiers. Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. Doug Tygar |
| 2010 | Negative Results for Active Learning with Convex Losses. Steve Hanneke, Liu Yang |
| 2010 | Neural conditional random fields. Trinh Minh Tri Do, Thierry Artières |
| 2010 | Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. Michael Gutmann, Aapo Hyvärinen |
| 2010 | Nonlinear functional regression: a functional RKHS approach. Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy |
| 2010 | Nonparametric Bayesian Matrix Factorization by Power-EP. Nan Ding, Yuan (Alan) Qi, Rongjing Xiang, Ian M. Molloy, Ninghui Li |
| 2010 | Nonparametric Tree Graphical Models. Le Song, Arthur Gretton, Carlos Guestrin |
| 2010 | Nonparametric prior for adaptive sparsity. Vikas C. Raykar, Linda H. Zhao |
| 2010 | On Combining Graph-based Variance Reduction schemes. Vibhav Gogate, Rina Dechter |
| 2010 | On the Convergence Properties of Contrastive Divergence. Ilya Sutskever, Tijmen Tieleman |
| 2010 | On the Impact of Kernel Approximation on Learning Accuracy. Corinna Cortes, Mehryar Mohri, Ameet Talwalkar |
| 2010 | On the relation between universality, characteristic kernels and RKHS embedding of measures. Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet |
| 2010 | Online Anomaly Detection under Adversarial Impact. Marius Kloft, Pavel Laskov |
| 2010 | Online Passive-Aggressive Algorithms on a Budget. Zhuang Wang, Slobodan Vucetic |
| 2010 | Optimal Allocation Strategies for the Dark Pool Problem. Alekh Agarwal, Peter L. Bartlett, Max Dama |
| 2010 | Parallelizable Sampling of Markov Random Fields. James Martens, Ilya Sutskever |
| 2010 | Parametric Herding. Yutian Chen, Max Welling |
| 2010 | Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching. Nic Schraudolph |
| 2010 | Posterior distributions are computable from predictive distributions. Cameron E. Freer, Daniel M. Roy |
| 2010 | Preface. Yee Whye Teh, D. Mike Titterington |
| 2010 | Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2010, Chia Laguna Resort, Sardinia, Italy, May 13-15, 2010 Yee Whye Teh, D. Mike Titterington |
| 2010 | REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization. Barnabás Póczos, Sergey Kirshner, Csaba Szepesvári |
| 2010 | Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries. Shengbo Guo, Scott Sanner |
| 2010 | Reduced-Rank Hidden Markov Models. Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon |
| 2010 | Reducing Label Complexity by Learning From Bags. Sivan Sabato, Nathan Srebro, Naftali Tishby |
| 2010 | Regret Bounds for Gaussian Process Bandit Problems. Steffen Grünewälder, Jean-Yves Audibert, Manfred Opper, John Shawe-Taylor |
| 2010 | Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction. Guy Lever |
| 2010 | Risk Bounds for Levy Processes in the PAC-Learning Framework. Chao Zhang, Dacheng Tao |
| 2010 | Semi-Supervised Learning via Generalized Maximum Entropy. Ayse Erkan, Yasemin Altun |
| 2010 | Semi-Supervised Learning with Max-Margin Graph Cuts. Branislav Kveton, Michal Valko, Ali Rahimi, Ling Huang |
| 2010 | Sequential Monte Carlo Samplers for Dirichlet Process Mixtures. Yener Ülker, Bilge Günsel, Ali Taylan Cemgil |
| 2010 | Simple Exponential Family PCA. Jun Li, Dacheng Tao |
| 2010 | Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms. Nevena Lazic, Brendan J. Frey, Parham Aarabi |
| 2010 | State-Space Inference and Learning with Gaussian Processes. Ryan D. Turner, Marc Peter Deisenroth, Carl Edward Rasmussen |
| 2010 | Structured Prediction Cascades. David J. Weiss, Benjamin Taskar |
| 2010 | Structured Sparse Principal Component Analysis. Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach |
| 2010 | Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation. Taiji Suzuki, Masashi Sugiyama |
| 2010 | Sufficient covariates and linear propensity analysis. Hui Guo, A. Philip Dawid |
| 2010 | Supervised Dimension Reduction Using Bayesian Mixture Modeling. Kai Mao, Feng Liang, Sayan Mukherjee |
| 2010 | Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau |
| 2010 | The Feature Selection Path in Kernel Methods. Fuxin Li, Cristian Sminchisescu |
| 2010 | The Group Dantzig Selector. Han Liu, Jian Zhang, Xiaoye Jiang, Jun Liu |
| 2010 | Towards Understanding Situated Natural Language. Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston |
| 2010 | Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach. Mladen Kolar, Eric P. Xing |
| 2010 | Understanding the difficulty of training deep feedforward neural networks. Xavier Glorot, Yoshua Bengio |
| 2010 | Unsupervised Aggregation for Classification Problems with Large Numbers of Categories. Ivan Titov, Alexandre Klementiev, Kevin Small, Dan Roth |
| 2010 | Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs. Hei Chan, Manabu Kuroki |
| 2010 | Variational methods for Reinforcement Learning. Thomas Furmston, David Barber |
| 2010 | Why Does Unsupervised Pre-training Help Deep Learning? Dumitru Erhan, Aaron C. Courville, Yoshua Bengio, Pascal Vincent |
| 2010 | Why are DBNs sparse? Shaunak Chatterjee, Stuart Russell |