| 2000 | A Bayesian Method for Causal Modeling and Discovery Under Selection. Gregory F. Cooper |
| 2000 | A Branch-and-Bound Algorithm for MDL Learning Bayesian Networks. Jin Tian |
| 2000 | A Complete Calcultis for Possibilistic Logic Programming with Fuzzy Propositional Variables. Teresa Alsinet, Lluís Godo |
| 2000 | A Decision Theoretic Approach to Targeted Advertising. David Maxwell Chickering, David Heckerman |
| 2000 | A Differential Approach to Inference in Bayesian Networks. Adnan Darwiche |
| 2000 | A Knowledge Acquisition Tool for Bayesian-Network Troubleshooters. Claus Skaanning |
| 2000 | A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs. Phan Hong Giang, Prakash P. Shenoy |
| 2000 | A Two-Round Variant of EM for Gaussian Mixtures. Sanjoy Dasgupta, Leonard J. Schulman |
| 2000 | A principled analysis of merging operations in possibilistic logic. Souhila Kaci, Salem Benferhat, Didier Dubois, Henri Prade |
| 2000 | Adaptive Importance Sampling for Estimation in Structured Domains. Luis E. Ortiz, Leslie Pack Kaelbling |
| 2000 | An Uncertainty Framework for Classification. Loo-Nin Teow, Kia-Fock Loe |
| 2000 | Any-Space Probabilistic Inference. Adnan Darwiche |
| 2000 | Approximately Optimal Monitoring of Plan Preconditions. Craig Boutilier |
| 2000 | Bayesian Classification and Feature Selection from Finite Data Sets. Frans Coetzee, Steve Lawrence, C. Lee Giles |
| 2000 | Being Bayesian about Network Structure. Nir Friedman, Daphne Koller |
| 2000 | Building a Stochastic Dynamic Model of Application Use. Peter Gorniak, David Poole |
| 2000 | Causal Mechanism-based Model Constructions. Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong |
| 2000 | Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach. David M. Pennock, Eric Horvitz, Steve Lawrence, C. Lee Giles |
| 2000 | Combinatonal Optimization by Learning and Simulation of Bayesian Networks. Pedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José M. Peña |
| 2000 | Combining Feature and Example Pruning by Uncertainty Minimization. Marc Sebban, Richard Nock |
| 2000 | Compact Securities Markets for Pareto Optimal Reallocation of Risk. David M. Pennock, Michael P. Wellman |
| 2000 | Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks. Jian Cheng, Marek J. Druzdzel |
| 2000 | Conditional Independence and Markov Properties in Possibility Theory. Jirina Vejnarová |
| 2000 | Conditional Plausibility Measures and Bayesian Networks. Joseph Y. Halpern |
| 2000 | Conversation as Action Under Uncertainty. Tim Paek, Eric Horvitz |
| 2000 | Credal Networks under Maximum Entropy. Thomas Lukasiewicz |
| 2000 | Dependency Networks for Collaborative Filtering and Data Visualization. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie |
| 2000 | Dynamic Bayesian Multinets. Jeff A. Bilmes |
| 2000 | Dynamic Trees: A Structured Variational Method Giving Efficient Propagation Rules. Amos J. Storkey |
| 2000 | Evaluating Influence Diagrams using LIMIDs. Dennis Nilsson, Steffen L. Lauritzen |
| 2000 | Experiments with Random Projection. Sanjoy Dasgupta |
| 2000 | Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks. Frank Wittig, Anthony Jameson |
| 2000 | Fast Planning in Stochastic Games. Michael J. Kearns, Yishay Mansour, Satinder Singh |
| 2000 | Feature Selection and Dualities in Maximum Entropy Discrimination. Tony Jebara, Tommi S. Jaakkola |
| 2000 | Game Networks. Pierfrancesco La Mura |
| 2000 | Gaussian Process Networks. Nir Friedman, Iftach Nachman |
| 2000 | Inference for Belief Networks Using Coupling From the Past. Michael Harvey, Radford M. Neal |
| 2000 | Learning Graphical Models of Images, Videos and Their Spatial Transformations. Brendan J. Frey, Nebojsa Jojic |
| 2000 | Learning to Cooperate via Policy Search. Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling |
| 2000 | Likelihood Computations Using Value Abstraction. Nir Friedman, Dan Geiger, Noam Lotner |
| 2000 | Making Sensitivity Analysis Computationally Efficient. Uffe Kjærulff, Linda C. van der Gaag |
| 2000 | Marginalization in Composed Probabilistic Models. Radim Jirousek |
| 2000 | Maximum Entropy and the Glasses You are Looking Through. Peter Grünwald |
| 2000 | Minimum Message Length Clustering Using Gibbs Sampling. Ian Davidson |
| 2000 | Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables. Scott Davies, Andrew W. Moore |
| 2000 | Model Criticism of Bayesian Networks with Latent Variables. David M. Williamson, Russell G. Almond, Robert J. Mislevy |
| 2000 | Model-Based Hierarchical Clustering. Shivakumar Vaithyanathan, Byron Dom |
| 2000 | Monte Carlo inference via greedy importance sampling. Dale Schuurmans, Finnegan Southey |
| 2000 | Nash Convergence of Gradient Dynamics in General-Sum Games. Satinder Singh, Michael J. Kearns, Yishay Mansour |
| 2000 | On the Use of Skeletons when Learning in Bayesian Networks. Harald Steck |
| 2000 | PEGASUS: A policy search method for large MDPs and POMDPs. Andrew Y. Ng, Michael I. Jordan |
| 2000 | Perfect Tree-like Markovian Distributions. Ann Becker, Dan Geiger, Christopher Meek |
| 2000 | Pivotal Pruning of Trade-offs in QPNs. Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green |
| 2000 | Policy Iteration for Factored MDPs. Daphne Koller, Ronald Parr |
| 2000 | Probabilistic Arc Consistency: A Connection between Constraint Reasoning and Probabilistic Reasoning. Michael C. Horsch, William S. Havens |
| 2000 | Probabilistic Models for Agent's Beliefs and Decisions. Brian Milch, Daphne Koller |
| 2000 | Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets. Dmitry Pavlov, Heikki Mannila, Padhraic Smyth |
| 2000 | Probabilistic State-Dependent Grammars for Plan Recognition. David V. Pynadath, Michael P. Wellman |
| 2000 | Probabilities of Causation: Bounds and Identification. Jin Tian, Judea Pearl |
| 2000 | Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart Russell |
| 2000 | Representing and Solving Asymmetric Bayesian Decision Problems. Thomas D. Nielsen, Finn Verner Jensen |
| 2000 | Reversible Jump MCMC Simulated Annealing for Neural Networks. Christophe Andrieu, Nando de Freitas, Arnaud Doucet |
| 2000 | Risk Agoras: Dialectical Argumentation for Scientific Reasoning. Peter McBurney, Simon Parsons |
| 2000 | Separation Properties of Sets of Probability Measures. Fábio Gagliardi Cozman |
| 2000 | Stochastic Logic Programs: Sampling, Inference and Applications. James Cussens |
| 2000 | The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data. Andrew W. Moore |
| 2000 | The Complexity of Decentralized Control of Markov Decision Processes. Daniel S. Bernstein, Shlomo Zilberstein, Neil Immerman |
| 2000 | Tractable Bayesian Learning of Tree Belief Networks. Marina Meila, Tommi S. Jaakkola |
| 2000 | UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30 - July 3, 2000 Craig Boutilier, Moisés Goldszmidt |
| 2000 | User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. Haiqin Wang, Marek J. Druzdzel |
| 2000 | Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example. Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen, Uffe Kjærulff |
| 2000 | Utilities as Random Variables: Density Estimation and Structure Discovery. Urszula Chajewska, Daphne Koller |
| 2000 | Value-Directed Belief State Approximation for POMDPs. Pascal Poupart, Craig Boutilier |
| 2000 | Variational Approximations between Mean Field Theory and the Junction Tree Algorithm. Wim Wiegerinck |
| 2000 | Variational Relevance Vector Machines. Christopher M. Bishop, Michael E. Tipping |
| 2000 | YGGDRASIL-A statistical package for learning Split Models. Søren Højsgaard |