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Conference in Uncertainty in Artificial Intelligence

UAI

A

CORE rank

CORE rank (raw)

A

Fields of research

Artificial Intelligence

Papers indexed

3,802

1985–2025

Papers per year

1985243 peak2025

UAI papers

3,802 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2009Complexity Analysis and Variational Inference for Interpretation-based Probabilistic Description Logic.Fbio Gagliardi Cozman, Rodrigo Bellizia Polastro
2009L2 Regularization for Learning Kernels.Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2009Prediction Markets, Mechanism Design, and Cooperative Game Theory.Vincent Conitzer
2009Mean Field Variational Approximation for Continuous-Time Bayesian Networks.Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
2009Convex Coding.David M. Bradley, J. Andrew Bagnell
2009Multilingual Topic Models for Unaligned Text.Jordan L. Boyd-Graber, David M. Blei
2009Optimization of Structured Mean Field Objectives.Alexandre Bouchard-Ct, Michael I. Jordan
2009Deterministic POMDPs Revisited.Blai Bonet
2009Conditional Probability Tree Estimation Analysis and Algorithms.Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl
2009Alternating Projections for Learning with Expectation Constraints.Kedar Bellare, Gregory Druck, Andrew McCallum
2009REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs.Peter L. Bartlett, Ambuj Tewari
2009On Smoothing and Inference for Topic Models.Arthur U. Asuncion, Max Welling, Padhraic Smyth, Yee Whye Teh
2009A Bayesian Sampling Approach to Exploration in Reinforcement Learning.John Asmuth, Lihong Li, Michael L. Littman, Ali Nouri, David Wingate
2009Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks.Daniel Andrade, Bernhard Sick
2009On Maximum a Posteriori Estimation of Hidden Markov Processes.Armen E. Allahverdyan, Aram Galstyan
2008Refractor Importance Sampling.Haohai Yu, Robert van Engelen
2008Relieving the elicitation burden of Bayesian Belief Networks.B. W. Wisse, Sicco Pier van Gosliga, Nicole P. van Elst, Ana Isabel Barros
2008Inference for Multiplicative Models.Ydo Wexler, Christopher Meek
2008A Bayesian approach to learning in fault isolation.Hannes Wettig, Anna Pernestl, Tomi Silander, Mattias Nyberg
2008Hybrid Variational/Gibbs Collapsed Inference in Topic Models.Max Welling, Yee Whye Teh, Bert Kappen
2008Continuous Time Dynamic Topic Models.Chong Wang, David M. Blei, David Heckerman
2008Modelling local and global phenomena with sparse Gaussian processes.Jarno Vanhatalo, Aki Vehtari
2008Hierarchical POMDP Controller Optimization by Likelihood Maximization.Marc Toussaint, Laurent Charlin, Pascal Poupart
2008Identifying Dynamic Sequential Plans.Jin Tian
2008Propagation using Chain Event Graphs.Peter A. Thwaites, Jim Q. Smith, Robert G. Cowell
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