| 2003 | A Bayesian Approach to Bergman's Minimal Model. Kim E. Andersen, Malene Højbjerre |
| 2003 | A Blessing of Dimensionality: Measure Concentration and Probabilistic Inference. Pinar Muyan, Nando de Freitas |
| 2003 | A Generalized Linear Model for Principal Component Analysis of Binary Data. Andrew I. Schein, Lawrence K. Saul, Lyle H. Ungar |
| 2003 | A unifying theorem for spectral embedding and clustering. Matthew Brand, Kun Huang |
| 2003 | An Active Approach to Collaborative Filtering. Richard S. Zemel, Craig Boutilier |
| 2003 | An object-oriented Bayesian network for estimating mutation rates. A. Philip Dawid |
| 2003 | Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition. Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando de Freitas |
| 2003 | Bayesian Inference in the Presence of Determinism. David Larkin, Rina Dechter |
| 2003 | Clustering Markov States into Equivalence Classes using SVD and Heuristic Search Algorithms. Xianping Ge, Sridevi Parise, Padhraic Smyth |
| 2003 | Combining Conjugate Direction Methods with Stochastic Approximation of Gradients. Nicol N. Schraudolph, Thore Graepel |
| 2003 | Convex Invariance Learning. Tony Jebara |
| 2003 | Curve Clustering with Random Effects Regression Mixtures. Scott Gaffney, Padhraic Smyth |
| 2003 | Data centering in feature space. Marina Meila |
| 2003 | Discriminative Model Selection for Density Models. Bo Thiesson, Christopher Meek |
| 2003 | Document Retrieval and Clustering: from Principal Component Analysis to Self-aggregation Networks. Chris Ding |
| 2003 | Efficient Computing of Stochastic Complexity. Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri |
| 2003 | Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals. Iead Rezek, Stephen J. Roberts, Peter Sykacek |
| 2003 | Expectation Maximization of Forward Decoding Kernel Machines. Shantanu Chakrabartty, Gert Cauwenberghs |
| 2003 | Fast Forward Selection to Speed Up Sparse Gaussian Process Regression. Matthias W. Seeger, Christopher K. I. Williams, Neil D. Lawrence |
| 2003 | Fast Marginal Likelihood Maximisation for Sparse Bayesian Models. Michael E. Tipping, Anita C. Faul |
| 2003 | Fast Robust Logistic Regression for Large Sparse Datasets with Binary Outputs. Paul Komarek, Andrew W. Moore |
| 2003 | Generalized belief propagation for approximate inference in hybrid Bayesian networks. Tom Heskes, Onno Zoeter |
| 2003 | Is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction? Wray L. Buntine, Sami Perttu |
| 2003 | Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. Shaojun Wang, Dale Schuurmans, Fuchun Peng |
| 2003 | Learning Bayesian Networks From Dependency Networks: A Preliminary Study. Geoff Hulten, David Maxwell Chickering, David Heckerman |
| 2003 | Model Averaging with Bayesian Network Classifiers. Denver Dash, Gregory F. Cooper |
| 2003 | On Boosting and the Exponential Loss. Abraham J. Wyner |
| 2003 | On Improving the Efficiency of the Iterative Proportional Fitting Procedure. Yee Whye Teh, Max Welling |
| 2003 | On Retrieval Properties of Samples of Large Collections. David Madigan, Yehuda Vardi, Ishay Weissman |
| 2003 | On the Naive Bayes Model for Text Categorization. Susana Eyheramendy, David D. Lewis, David Madigan |
| 2003 | Planning by Probabilistic Inference. Hagai Attias |
| 2003 | Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, AISTATS 2003, Key West, Florida, USA, January 3-6, 2003 Christopher M. Bishop, Brendan J. Frey |
| 2003 | Quick Training of Probabilistic Neural Nets by Importance Sampling. Yoshua Bengio, Jean-Sébastien Senecal |
| 2003 | Rapid Evaluation of Multiple Density Models. Alexander G. Gray, Andrew W. Moore |
| 2003 | Real-time On-line Learning of Transformed Hidden Markov Models from Video. Nemanja Petrovic, Nebojsa Jojic, Brendan J. Frey, Thomas S. Huang |
| 2003 | Reduced Rank Approximations of Transition Matrices. Juan Lin |
| 2003 | Refining Kernels for Regression and Uneven Classification Problems. Jaz S. Kandola, John Shawe-Taylor |
| 2003 | Sequential Importance Sampling for Visual Tracking Reconsidered. Péter Torma, Csaba Szepesvári |
| 2003 | Solving Markov Random Fields using Semi Definite Programming. Philip H. S. Torr |
| 2003 | Structured Variational Distributions in VIBES. Christopher M. Bishop, John M. Winn |
| 2003 | Super-resolution Enhancement of Video. Christopher M. Bishop, Andrew Blake, Bhaskara Marthi |
| 2003 | The Joint Causal Effect in Linear Structural Equation Model and Its Application to Process Analysis. Manabu Kuroki, Zhihong Cai |
| 2003 | The Sound of an Album Cover: A Probabilistic Approach to Multimedia. Eric Brochu, Nando de Freitas, Kejie Bao |
| 2003 | Towards Principled Feature Selection: Relevancy, Filters and Wrappers. Ioannis Tsamardinos, Constantin F. Aliferis |
| 2003 | Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching. Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky |