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