UAI 2007

70 papers

"i Can Name That Bayesian Network in Two Matrixes!" Russell G. Almond

A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables Jiji Zhang

A Criterion for Parameter Identification in Structural Equation Models Jin Tian

A New Parameter Learning Method for Bayesian Networks with Qualitative Influences Ad Feelders

A System for Ontologically-Grounded Probabilistic Matching Rita Sharma, David Poole, Clinton Smyth

A Tool That Uses Human Factors to Simplify Model Building and Facilitate More Accurate Strategic Decisions Oscar Kipersztok

A Tractable Approach to Finding Closest Truncated-Commute-Time Neighbors in Large Graphs Purnamrita Sarkar, Andrew W. Moore

A Utility Framework for Bounded-Loss Market Makers Yiling Chen, David M. Pennock

Accuracy Bounds for Belief Propagation Alexander Ihler

Aggregating Across Multiple Levels of Granularity to Meet Customer and Organizational Query Requirements Suzanne M. Mahoney

Analysis of Semi-Supervised Learning with the Yarowsky Algorithm Gholamreza Haffari, Anoop Sarkar

AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Weighted Graphical Models Robert Mateescu, Rina Dechter

Apprenticeship Learning Using Inverse Reinforcement Learning and Gradient Methods Gergely Neu, Csaba Szepesvári

Automatic Generation of Four-Part Harmony Liangrong Yi, Judy Goldsmith

Bandit Algorithms for Tree Search Pierre-Arnaud Coquelin, Rémi Munos

Bayesian Active Distance Metric Learning Liu Yang, Rong Jin, Rahul Sukthankar

Bayesian Structure Learning Using Dynamic Programming and MCMC Daniel Eaton, Kevin P. Murphy

Best-First AND/OR Search for Most Probable Explanations Radu Marinescu, Rina Dechter

Causal Bounds and Instruments Roland Ramsahai

Causal Reasoning in Graphical Time Series Models Michael Eichler, Vanessa Didelez

Collaborative Filtering and the Missing at Random Assumption Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney

Compiling Dyanamic Fault Trees into Dynamic Bayesian Nets for Reliability Analysis: The RADYBAN Tool Luigi Portinale, Andrea Bobbio, Daniele Codetta Raiteri, Stefania Montani

Consensus Ranking Under the Exponential Model Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes

Constrained Automated Mechanism Design for Infinite Games of Incomplete Information Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman

Convergent Propagation Algorithms via Oriented Trees Amir Globerson, Tommi S. Jaakkola

Credibility Models Charles Twardy, Ed Wright, Stephen Canon, Masami Takikawa

Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach Jennifer Listgarten, David Heckerman

Discovering Patterns in Biological Sequences by Optimal Segmentation Joseph Bockhorst, Nebojsa Jojic

Envisioning Uncertainty in Geospatial Information Kathryn B. Laskey, Ed Wright, Paulo Cesar G. da Costa

Evaluating Influence Diagrams with Decision Circuits Debarun Bhattacharjya, Ross D. Shachter

Evaluation of the Causal Effect of Control Plans in Nonrecursive Structural Equation Models Manabu Kuroki, Zhihong Cai

Fast Nonparametric Conditional Density Estimation Michael P. Holmes, Alexander G. Gray, Charles L. Isbell Jr.

Generalized Polya Urn for Time-Varying Dirichlet Process Mixtures Francois Caron, Manuel Davy, Arnaud Doucet

Imitation Learning with a Value-Based Prior Umar Syed, Robert E. Schapire

Importance Sampling via Variational Optimization Ydo Wexler, Dan Geiger

Improved Dynamic Schedules for Belief Propagation Charles Sutton, Andrew McCallum

Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs Sven Seuken, Shlomo Zilberstein

Indirectly Visible Bayesian Student Models Juan-Diego Zapata-Rivera

Large-Flip Importance Sampling Firas Hamze, Nando de Freitas

Learning Bayesian Network Structure from Correlation-Immune Data Eric Lantz, Soumya Ray, David Page

Learning Probabilistic Relational Dynamics for Multiple Tasks Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling

Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification Brian D. Ziebart, Anind K. Dey, James A. Bagnell

Library-Style Ontologies to Support Varying Model Views Hermina J. M. Tabachneck-Schijf, Linda C. van der Gaag

Making Life Better One Large System at a Time: Challenges for UAI Research Moisés Goldszmidt

MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies Yair Weiss, Chen Yanover, Talya Meltzer

Markov Logic in Infinite Domains Parag Singla, Pedro M. Domingos

Minimax Regret Based Elicitation of Generalized Additive Utilities Darius Braziunas, Craig Boutilier

Mixture-of-Parents Maximum Entropy Markov Models David S. Rosenberg, Dan Klein, Ben Taskar

More-or-Less CP-Networks Fusun Yaman, Marie desJardins

Node Splitting: A Scheme for Generating Upper Bounds in Bayesian Networks Arthur Choi, Mark Chavira, Adnan Darwiche

Nonparametric Bayes Pachinko Allocation Wei Li, David M. Blei, Andrew McCallum

On Discarding, Caching, and Recalling Samples in Active Learning Ashish Kapoor, Eric Horvitz

On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter Tomi Silander, Petri Kontkanen, Petri Myllymäki

Optimizing Memory-Bounded Controllers for Decentralized POMDPs Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein

Policy Iteration for Relational MDPs Chenggang Wang, Roni Khardon

Polynomial Constraints in Causal Bayesian Networks Changsung Kang, Jin Tian

Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams Ethan W. Dereszynski, Thomas G. Dietterich

Ranking Under Uncertainty Or Zuk, Liat Ein-Dor, Eytan Domany

Reachability Under Uncertainty Allen Chang, Eyal Amir

Reading Dependencies from Polytree-like Bayesian Networks José M. Peña

Reasoning at the Right Time Granularity Suchi Saria, Uri Nodelman, Daphne Koller

Search for Choquet-Optimal Paths Under Uncertainty Lucie Galand, Patrice Perny

Shift-Invariance Sparse Coding for Audio Classification Roger B. Grosse, Rajat Raina, Helen Kwong, Andrew Y. Ng

Statistical Mechanics of Biological Networks Marco Ramoni

Statistical Translation, Heat Kernels and Expected Distances Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang

Studies in Lower Bounding Probabilities of Evidence Using the Markov Inequality Vibhav Gogate, Bozhena Bidyuk, Rina Dechter

Survey Propagation Revisited Lukas Kroc, Ashish Sabharwal, Bart Selman

Template Based Inference in Symmetric Relational Markov Random Fields Ariel Jaimovich, Ofer Meshi, Nir Friedman

User-Centered Methods for Rapid Creation and Validation of Bayesian Belief Networks Jonathan D. Pfautz, Zach Cox, Geoffrey Catto, David Koelle, Joseph Campolongo, Emilie M. Roth

What Counterfactuals Can Be Tested Ilya Shpitser, Judea Pearl