UAI A

60 papers

YearTitle / Authors
2007A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables.
Jiji Zhang
2007A Criterion for Parameter Identification in Structural Equation Models.
Jin Tian
2007A Tractable Approach to Finding Closest Truncated-commute-time Neighbors in Large Graphs.
Purnamrita Sarkar, Andrew W. Moore
2007A Utility Framework for Bounded-Loss Market Makers.
Yiling Chen, David M. Pennock
2007A new parameter Learning Method for Bayesian Networks with Qualitative Influences.
Ad Feelders
2007AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Weighted Graphical Models.
Robert Mateescu, Rina Dechter
2007Accuracy Bounds for Belief Propagation.
Alexander Ihler
2007Analysis of Semi-Supervised Learning with the Yarowsky Algorithm.
Gholamreza Haffari, Anoop Sarkar
2007Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods.
Gergely Neu, Csaba Szepesvári
2007Bandit Algorithms for Tree Search.
Pierre-Arnaud Coquelin, Rémi Munos
2007Bayesian Active Distance Metric Learning.
Liu Yang, Rong Jin, Rahul Sukthankar
2007Bayesian structure learning using dynamic programming and MCMC.
Daniel Eaton, Kevin P. Murphy
2007Best-First AND/OR Search for Most Probable Explanations.
Radu Marinescu, Rina Dechter
2007Causal Bounds and Instruments.
Roland Ramsahai
2007Causal Reasoning in Graphical Time Series Models.
Michael Eichler, Vanessa Didelez
2007Collaborative Filtering and the Missing at Random Assumption.
Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney
2007Consensus ranking under the exponential model.
Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes
2007Constrained Automated Mechanism Design for Infinite Games of Incomplete Information.
Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman
2007Convergent Propagation Algorithms via Oriented Trees.
Amir Globerson, Tommi S. Jaakkola
2007Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach.
Jennifer Listgarten, David Heckerman
2007Discovering Patterns in Biological Sequences by Optimal Segmentation.
Joseph Bockhorst, Nebojsa Jojic
2007Evaluating influence diagrams with decision circuits.
Debarun Bhattacharjya, Ross D. Shachter
2007Evaluation of the Causal Effect of Control Plans in Nonrecursive Structural Equation Models.
Manabu Kuroki, Zhihong Cai
2007Fast Nonparametric Conditional Density Estimation.
Michael P. Holmes, Alexander G. Gray, Charles L. Isbell Jr.
2007Generalized Polya Urn for Time-varying Dirichlet Process Mixtures.
Francois Caron, Manuel Davy, Arnaud Doucet
2007Imitation Learning with a Value-Based Prior.
Umar Syed, Robert E. Schapire
2007Importance Sampling via Variational Optimization.
Ydo Wexler, Dan Geiger
2007Improved Dynamic Schedules for Belief Propagation.
Charles Sutton, Andrew McCallum
2007Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs.
Sven Seuken, Shlomo Zilberstein
2007Large-Flip Importance Sampling.
Firas Hamze, Nando de Freitas
2007Learning Bayesian Network Structure from Correlation-Immune Data.
Eric Lantz, Soumya Ray, David Page
2007Learning Probabilistic Relational Dynamics for Multiple Tasks.
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling
2007Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification.
Brian D. Ziebart, Anind K. Dey, James A. Bagnell
2007MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies.
Yair Weiss, Chen Yanover, Talya Meltzer
2007Making life better one large system at a time: Challenges for UAI research.
Moisés Goldszmidt
2007Markov Logic in Infinite Domains.
Parag Singla, Pedro M. Domingos
2007Minimax regret based elicitation of generalized additive utilities.
Darius Braziunas, Craig Boutilier
2007Mixture-of-Parents Maximum Entropy Markov Models.
David S. Rosenberg, Dan Klein, Ben Taskar
2007More-or-Less CP-Networks.
Fusun Yaman, Marie desJardins
2007Node Splitting: A Scheme for Generating Upper Bounds in Bayesian Networks.
Arthur Choi, Mark Chavira, Adnan Darwiche
2007Nonparametric Bayes Pachinko Allocation.
Wei Li, David M. Blei, Andrew McCallum
2007On Discarding, Caching, and Recalling Samples in Active Learning.
Ashish Kapoor, Eric Horvitz
2007On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter.
Tomi Silander, Petri Kontkanen, Petri Myllymäki
2007Optimizing Memory-Bounded Controllers for Decentralized POMDPs.
Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2007Policy Iteration for Relational MDPs.
Chenggang Wang, Roni Khardon
2007Polynomial Constraints in Causal Bayesian Networks.
Changsung Kang, Jin Tian
2007Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams.
Ethan W. Dereszynski, Thomas G. Dietterich
2007Ranking Under Uncertainty.
Or Zuk, Liat Ein-Dor, Eytan Domany
2007Reachability Under Uncertainty.
Allen Chang, Eyal Amir
2007Reading Dependencies from Polytree-Like Bayesian Networks.
José M. Peña
2007Reasoning at the Right Time Granularity.
Suchi Saria, Uri Nodelman, Daphne Koller
2007Search for Choquet-optimal paths under uncertainty.
Lucie Galand, Patrice Perny
2007Shift-Invariance Sparse Coding for Audio Classification.
Roger B. Grosse, Rajat Raina, Helen Kwong, Andrew Y. Ng
2007Statistical Mechanics of Biological Networks.
Marco Ramoni
2007Statistical Translation, Heat Kernels and Expected Distances.
Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang
2007Studies in Lower Bounding Probabilities of Evidence using the Markov Inequality.
Vibhav Gogate, Bozhena Bidyuk, Rina Dechter
2007Survey Propagation Revisited.
Lukas Kroc, Ashish Sabharwal, Bart Selman
2007Template Based Inference in Symmetric Relational Markov Random Fields.
Ariel Jaimovich, Ofer Meshi, Nir Friedman
2007UAI 2007, Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, Vancouver, BC, Canada, July 19-22, 2007
Ronald Parr, Linda C. van der Gaag
2007What Counterfactuals Can Be Tested.
Ilya Shpitser, Judea Pearl