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A Bayesian Approach to Tackling Hard Computational Problems |
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Eric Horvitz
, Yongshao Ruan
, Carla Gomes
, Henry Kautz
, Bart Selman
, David Chickering
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A Bayesian Multiresolution Independence Test for Continuous Variables |
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Dimitris Margaritis
, Sebastian Thrun
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A Calculus for Causal Relevance |
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Blai Bonet
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A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application |
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Ann Nicholson
, Tal Boneh
, Tim Wilkin
, Kaye Stacey
, Liz Sonenberg
, Vicki Steinle
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A Clustering Approach to Solving Large Stochastic Matching Problems |
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Milos Hauskrecht
, Eli Upfal
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A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory |
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Phan Giang
, Prakash Shenoy
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A Dynamic Programming Model for Determining Bidding Strategies in Sequential Auctions: Quasi-linear Utility and Budget Constraints |
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Hiromitsu Hattori
, Makoto Yokoo
, Yuko Sakurai
, Toramatsu Shintani
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A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields |
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Kannan Achan
, Brendan Frey
, Ralf Koetter
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A Logic for Reasoning about Upper Probabilities |
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Joseph Halpern
, Riccardo Pucella
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A Mixed Graphical Model for Rhythmic Parsing |
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Christopher Raphael
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A Tractable POMDP for a Class of Sequencing Problems |
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Paat Rusmevichientong
, Benjamin van Roy
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Aggregating Learned Probabilistic Beliefs |
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Pedrito Maynard-Reid II
, Urszula Chajewska
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Analysing Sensitivity Data from Probabilistic Networks |
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Linda van der Gaag
, Silja Renooij
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Approximating MAP using Local Search |
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James Park
, Adnan Darwiche
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Bayesian Error-Bars for Belief Net Inference |
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Tim Van Allen
, Russell Greiner
, Peter Hooper
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Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation |
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Max Welling
, Yee Whye Teh
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Causal Discovery from Changes |
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Jin Tian
, Judea Pearl
|
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Causes and Explanations: A Structural-Model Approach --- Part 1: Causes |
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Joseph Halpern
, Judea Pearl
|
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Classifier Learning with Supervised Marginal Likelihood |
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Petri Kontkanen
, Petri Myllymaki
, Henry Tirri
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Conditions Under Which Conditional Independence and Scoring Methods Lead to Identical Selection of Bayesian Network Models |
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Robert Cowell
|
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Confidence Inference in Bayesian Networks |
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Jian Cheng
, Marek Druzdzel
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Cross-covariance modelling via DAGs with hidden variables |
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Jacob Wegelin
, Thomas Richardson
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Decision-Theoretic Planning with Concurrent Temporally Extended Actions |
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Khashayar Rohanimanesh
, Sridhar Mahadevan
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Direct and Indirect Effects |
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Judea Pearl
|
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Discovering Multiple Constraints that are Frequently Approximately Satisfied |
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Geoffrey Hinton
, Yee Whye Teh
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Efficient Approximation for Triangulation of Minimum Treewidth |
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Eyal Amir
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Efficient Stepwise Selection in Decomposable Models |
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Amol Deshpande
, Minos Garofalakis
, Michael Jordan
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Enumerating Markov Equivalence Classes of Acyclic Digraph Models |
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Steven Gillispie
, Michael Perlman
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Estimating Well-Performing Bayesian Networks using Bernoulli Mixtures |
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Geoff Jarrad
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Exact Inference in Networks with Discrete Children of Continuous Parents |
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Uri Lerner
, Eran Segal
, Daphne Koller
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Expectation Propagation for approximate Bayesian inference |
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Thomas Minka
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Graphical Models for Game Theory |
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Michael Kearns
, Michael Littman
, Satinder Singh
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Graphical readings of possibilistic logic bases |
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Salem Benferhat
, Didier Dubois
, Souhila Kaci
, Henri Prade
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Hybrid Processing of Beliefs and Constraints |
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Rina Dechter
, David Larkin
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Hypothesis Management in Situation-Specific Network Construction |
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Kathryn Laskey
, Suzanne Mahoney
, Ed Wright
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Improved learning of Bayesian networks |
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Tomas Kocka
, Robert Castelo
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Incorporating Expressive Graphical Models in Variational Approximations: Chain-Graphs and Hidden Variables |
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Tal El-Hay
, Nir Friedman
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Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms |
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Uri Lerner
, Ron Parr
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Instrumentality Tests Revisited |
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Blai Bonet
|
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Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk |
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John Lafferty
, Larry Wasserman
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Lattice Particle Filters |
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Dirk Ormoneit
, Christiane Lemieux
, David Fleet
|
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Learning the Dimensionality of Hidden Variables |
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Gal Elidan
, Nir Friedman
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Linearity Properties of Bayes Nets with Binary Variables |
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David Danks
, Clark Glymour
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Markov Chain Monte Carlo using Tree-Based Priors on Model Structure |
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Nicos Angelopoulos
, James Cussens
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Maximum Likelihood Bounded Tree-Width Markov Networks |
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Nathan Srebro
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Multivariate Information Bottleneck |
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Nir Friedman
, Ori Mosenzon
, Noam Slonim
, Naftali Tishby
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On characterizing Inclusion of Bayesian Networks |
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Tomas Kocka
, Remco Bouckaert
, Milan Studeny
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Planning and Acting under Uncertainty: A New Model for Spoken Dialogue Systems |
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Bo Zhang
, Qingsheng Cai
, Jianfeng Mao
, Baining Guo
|
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Plausible reasoning from spatial observations |
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Jerome Lang
, Philippe Muller
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Policy Improvement for POMDPs Using Normalized Importance Sampling |
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Christian Shelton
|
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Pre-processing for Triangulation of Probabilistic Networks |
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Hans Bodlaender
, Arie Koster
, Frank van den Eijkhof
, Linda van der Gaag
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Probabilistic Logic Programming under Inheritance with Overriding |
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Thomas Lukasiewicz
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Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments |
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Alexandrin Popescul
, Lyle Ungar
, David Pennock
, Steve Lawrence
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Recognition Networks for Approximate Inference in BN20 Networks |
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Quaid Morris
|
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Robust Combination of Local Controllers |
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Carlos Guestrin
, Dirk Ormoneit
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Semi-Instrumental Variables: A Test for Instrument Admissibility |
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Tianjiao Chu
, Richard Scheines
, Peter Spirtes
|
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Similarity Measures on Preference Structures, Part II: Utility Functions |
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Vu Ha
, Peter Haddawy
, John Miyamoto
|
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Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation |
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Anders Madsen
, Dennis Nilsson
|
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Statistical Modeling in Continuous Speech Recognition (CSR)(Invited Talk) |
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Steve Young
|
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Sufficiency, Separability and Temporal Probabilistic Models |
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Avi Pfeffer
|
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Symmetric Collaborative Filtering Using the Noisy Sensor Model |
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Rita Sharma
, David Poole
|
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The Factored Frontier Algorithm for Approximate Inference in DBNs |
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Kevin Murphy
, Yair Weiss
|
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The Optimal Reward Baseline for Gradient-Based Reinforcement Learning |
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Lex Weaver
, Nigel Tao
|
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Toward General Analysis of Recursive Probability Models |
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Daniel Pless
, George Luger
|
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UCP-Networks: A Directed Graphical Representation of Conditional Utilities |
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Craig Boutilier
, Fahiem Bacchus
, Ronen Brafman
|
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Using Bayesian Networks to Identify the Causal Effect of Speeding in Individual Vehicle/Pedestrian Collisions |
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Gary Davis
|
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Using Temporal Data for Making Recommendations |
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Andrew Zimdars
, David Chickering
, Christopher Meek
|
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Value-Directed Sampling Methods for POMDPs |
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Pascal Poupart
, Luis Ortiz
, Craig Boutilier
|
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Variational MCMC |
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Nando de Freitas
, Pedro Hojen-Sorensen
, Michael Jordan
, Stuart Russell
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Vector-space Analysis of Belief-state Approximation for POMDPs |
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Pascal Poupart
, Craig Boutilier
|
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When do Numbers Really Matter? |
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Hei Chan
, Adnan Darwiche
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