| 2007 | (Approximate) Subgradient Methods for Structured Prediction. Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich |
| 2007 | A Bayesian Divergence Prior for Classiffier Adaptation. Xiao Li, Jeff A. Bilmes |
| 2007 | A Boosting Algorithm for Label Covering in Multilabel Problems. Yonatan Amit, Ofer Dekel, Yoram Singer |
| 2007 | A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games. H. Brendan McMahan, Geoffrey J. Gordon |
| 2007 | A Framework for Probability Density Estimation. John Shawe-Taylor, Alexander N. Dolia |
| 2007 | A Hybrid Pareto Model for Conditional Density Estimation of Asymmetric Fat-Tail Data. Julie Carreau, Yoshua Bengio |
| 2007 | A Latent Space Approach to Dynamic Embedding of Co-occurrence Data. Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon |
| 2007 | A Nonparametric Bayesian Approach to Modeling Overlapping Clusters. Katherine A. Heller, Zoubin Ghahramani |
| 2007 | A Stochastic Quasi-Newton Method for Online Convex Optimization. Nicol N. Schraudolph, Jin Yu, Simon Günter |
| 2007 | A Unified Algorithmic Approach for Efficient Online Label Ranking. Shai Shalev-Shwartz, Yoram Singer |
| 2007 | A Unified Energy-Based Framework for Unsupervised Learning. Marc'Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun |
| 2007 | A fast algorithm for learning large scale preference relations. Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram |
| 2007 | AClass: A simple, online, parallelizable algorithm for probabilistic classification. Vikash K. Mansinghka, Daniel M. Roy, Ryan Rifkin, Joshua B. Tenenbaum |
| 2007 | An Improved 1-norm SVM for Simultaneous Classification and Variable Selection. Hui Zou |
| 2007 | Analogical Reasoning with Relational Bayesian Sets. Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani |
| 2007 | Approximate Counting of Graphical Models Via MCMC. José M. Peña |
| 2007 | Approximate inference using conditional entropy decompositions. Amir Globerson, Tommi S. Jaakkola |
| 2007 | Bayesian Inference and Optimal Design in the Sparse Linear Model. Matthias W. Seeger, Florian Steinke, Koji Tsuda |
| 2007 | Continuous Neural Networks. Nicolas Le Roux, Yoshua Bengio |
| 2007 | Deterministic Annealing for Multiple-Instance Learning. Peter V. Gehler, Olivier Chapelle |
| 2007 | Dissimilarity in Graph-Based Semi-Supervised Classification. Andrew B. Goldberg, Xiaojin Zhu, Stephen J. Wright |
| 2007 | Dynamic Factorization Tests: Applications to Multi-modal Data Association. Michael Siracusa, John W. Fisher III |
| 2007 | Efficient active learning with generalized linear models. Jeremy Lewi, Robert J. Butera, Liam Paninski |
| 2007 | Efficient large margin semisupervised learning. Junhui Wang |
| 2007 | Ellipsoidal Machines. Pannagadatta K. Shivaswamy, Tony Jebara |
| 2007 | Emerge and spread models and word burstiness. Peter Sunehag |
| 2007 | Exact Bayesian structure learning from uncertain interventions. Daniel Eaton, Kevin P. Murphy |
| 2007 | Fast Kernel ICA using an Approximate Newton Method. Hao Shen, Stefanie Jegelka, Arthur Gretton |
| 2007 | Fast Low-Rank Semidefinite Programming for Embedding and Clustering. Brian Kulis, Arun C. Surendran, John C. Platt |
| 2007 | Fast Mean Shift with Accurate and Stable Convergence. Ping Wang, Dongryeol Lee, Alexander G. Gray, James M. Rehg |
| 2007 | Fast State Discovery for HMM Model Selection and Learning. Sajid M. Siddiqi, Geoffrey J. Gordon, Andrew W. Moore |
| 2007 | Fast search for Dirichlet process mixture models. Hal Daumé III |
| 2007 | Fisher Consistency of Multicategory Support Vector Machines. Yufeng Liu |
| 2007 | Generalized Darting Monte Carlo. Cristian Sminchisescu, Max Welling |
| 2007 | Generalized Do-Calculus with Testable Causal Assumptions. Jiji Zhang |
| 2007 | Generalized Non-metric Multidimensional Scaling. Sameer Agarwal, Josh Wills, Lawrence Cayton, Gert R. G. Lanckriet, David J. Kriegman, Serge J. Belongie |
| 2007 | Hidden Topic Markov Models. Amit Gruber, Yair Weiss, Michal Rosen-Zvi |
| 2007 | Hierarchical Beta Processes and the Indian Buffet Process. Romain Thibaux, Michael I. Jordan |
| 2007 | How Powerful Can Any Regression Learning Procedure Be?. Yuhong Yang |
| 2007 | Importance Sampling for General Hybrid Bayesian Networks. Changhe Yuan, Marek J. Druzdzel |
| 2007 | Incorporating Prior Knowledge on Features into Learning. Eyal Krupka, Naftali Tishby |
| 2007 | Inductive Transfer for Bayesian Network Structure Learning. Alexandru Niculescu-Mizil, Rich Caruana |
| 2007 | Information Retrieval by Inferring Implicit Queries from Eye Movements. David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski |
| 2007 | Kernel Multi-task Learning using Task-specific Features. Edwin V. Bonilla, Felix V. Agakov, Christopher K. I. Williams |
| 2007 | Large-Margin Classification in Banach Spaces. Ricky Der, Daniel Lee |
| 2007 | Learning A* underestimates: Using inference to guide inference. Gregory Druck, Mukund Narasimhan, Paul A. Viola |
| 2007 | Learning Markov Structure by Maximum Entropy Relaxation. Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky |
| 2007 | Learning Multilevel Distributed Representations for High-Dimensional Sequences. Ilya Sutskever, Geoffrey E. Hinton |
| 2007 | Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization. Svetlana Lazebnik, Maxim Raginsky |
| 2007 | Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure. Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2007 | Learning for Larger Datasets with the Gaussian Process Latent Variable Model. Neil D. Lawrence |
| 2007 | Local and global sparse Gaussian process approximations. Edward Lloyd Snelson, Zoubin Ghahramani |
| 2007 | Loop Corrected Belief Propagation. Joris M. Mooij, Bastian Wemmenhove, Bert Kappen, Tommaso Rizzo |
| 2007 | Loopy Belief Propagation for Bipartite Maximum Weight b-Matching. Bert Huang, Tony Jebara |
| 2007 | MDL Histogram Density Estimation. Petri Kontkanen, Petri Myllymäki |
| 2007 | Margin based Transductive Graph Cuts using Linear Programming. Kristiaan Pelckmans, John Shawe-Taylor, Johan A. K. Suykens, Bart De Moor |
| 2007 | Maximum Entropy Correlated Equilibria. Luis E. Ortiz, Robert E. Schapire, Sham M. Kakade |
| 2007 | Memory-Effcient Orthogonal Least Squares Kernel Density Estimation using Enhanced Empirical Cumulative Distribution Functions. Martin Schafföner, Edin Andelic, Marcel Katz, Sven E. Krüger, Andreas Wendemuth |
| 2007 | Metric Learning for Kernel Regression. Kilian Q. Weinberger, Gerald Tesauro |
| 2007 | Minimum Volume Embedding. Blake Shaw, Tony Jebara |
| 2007 | Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings. Avleen Singh Bijral, Markus Breitenbach, Gregory Z. Grudic |
| 2007 | Multi-object tracking with representations of the symmetric group. Risi Kondor, Andrew G. Howard, Tony Jebara |
| 2007 | Nonlinear Dimensionality Reduction as Information Retrieval. Jarkko Venna, Samuel Kaski |
| 2007 | Nonnegative Garrote Component Selection in Functional ANOVA models. Ming Yuan |
| 2007 | Online Learning of Search Heuristics. Michael Fink |
| 2007 | Performance Guarantees for Information Theoretic Active Inference. Jason L. Williams, John W. Fisher III, Alan S. Willsky |
| 2007 | Policy-Gradients for PSRs and POMDPs. Douglas Aberdeen, Olivier Buffet, Owen Thomas |
| 2007 | Predictive Discretization during Model Selection. Harald Steck, Tommi S. Jaakkola |
| 2007 | Preface. Marina Meila, Xiaotong Shen |
| 2007 | Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 21-24, 2007 Marina Meila, Xiaotong Shen |
| 2007 | Recall Systems: Effcient Learning and Use of Category Indices. Omid Madani, Wiley Greiner, David Kempe, Mohammad R. Salavatipour |
| 2007 | SVM versus Least Squares SVM. Jieping Ye, Tao Xiong |
| 2007 | SampleSearch: A Scheme that Searches for Consistent Samples. Vibhav Gogate, Rina Dechter |
| 2007 | Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model. Amr Ahmed, Eric P. Xing |
| 2007 | Semi-Supervised Mean Fields. Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther |
| 2007 | Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach. Zhengdong Lu |
| 2007 | Solving Markov Random Fields with Spectral Relaxation. Timothée Cour, Jianbo Shi |
| 2007 | Space-Efficient Sampling. Sudipto Guha, Andrew McGregor |
| 2007 | Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo. Han Liu, John D. Lafferty, Larry A. Wasserman |
| 2007 | Stick-breaking Construction for the Indian Buffet Process. Yee Whye Teh, Dilan Görür, Zoubin Ghahramani |
| 2007 | The Kernel Path in Kernelized LASSO. Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky |
| 2007 | The Laplacian Eigenmaps Latent Variable Model. Miguel Á. Carreira-Perpiñán, Zhengdong Lu |
| 2007 | The Rademacher Complexity of Co-Regularized Kernel Classes. David S. Rosenberg, Peter L. Bartlett |
| 2007 | Transductive Classification via Local Learning Regularization. Mingrui Wu, Bernhard Schölkopf |
| 2007 | Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data. Ann B. Lee, Boaz Nadler |
| 2007 | Visualizing Similarity Data with a Mixture of Maps. James Cook, Ilya Sutskever, Andriy Mnih, Geoffrey E. Hinton |
| 2007 | Visualizing pairwise similarity via semidefinite programming. Amir Globerson, Sam T. Roweis |