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A Game-Theoretic Analysis of Updating Sets of Probabilities |
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Peter Grunwald
, Joseph Halpern
|
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A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games |
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Enrique Munoz de Cote
, Michael Littman
|
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Adaptive Inference on General Graphical Models |
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Umut Acar
, Alexander Ihler
, Ramgopal Mettu
, Ozgur Sumer
|
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Almost Optimal Intervention Sets for Causal Discovery |
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Frederick Eberhardt
|
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AND/OR Importance Sampling |
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Vibhav Gogate
, Rina Dechter
|
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Approximating the Partition Function by Deleting and then Correcting for Model Edges |
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Arthur Choi
, Adnan Darwiche
|
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Bayesian network learning by compiling to weighted MAX-SAT |
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James Cussens
|
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Bayesian Out-Trees |
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Tony Jebara
|
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Bounding Search Space Size via (Hyper)tree Decompositions |
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Lars Otten
, Rina Dechter
|
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Bounds on the Bethe Free Energy for Gaussian Networks |
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Botond Cseke
, Tom Heskes
|
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Causal discovery of linear acyclic models with arbitrary distributions |
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Patrik Hoyer
, Aapo Hyvarinen
, Richard Scheines
, Peter Spirtes
, Joseph Ramsey
, Gustavo Lacerda
, Shohei Shimizu
|
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Church: a language for generative models |
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Noah Goodman
, Vikash Mansinghka
, Daniel Roy
, Keith Bonawitz
, Joshua Tenenbaum
|
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Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices |
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David Barber
|
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Complexity of Inference in Graphical Models |
|
Venkat Chandrasekaran
, Nathan Srebro
, Prahladh Harsha
|
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Constrained Approximate Maximum Entropy Learning of Markov Random Fields |
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Varun Ganapathi
, David Vickrey
, John Duchi
, Daphne Koller
|
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Continuous Time Dynamic Topic Models |
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Chong Wang
, David Blei
, David Heckerman
|
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Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies |
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Tamir Hazan
, Amnon Shashua
|
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Convex Point Estimation using Undirected Bayesian Transfer Hierarchies |
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Gal Elidan
, Ben Packer
, Geremy Heitz
, Daphne Koller
|
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CORL: A Continuous-state Offset-dynamics Reinforcement Learner |
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Emma Brunskill
, Bethany Leffler
, Lihong Li
, Michael Littman
, Nicholas Roy
|
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CT-NOR: Representing and Reasoning About Events in Continuous Time |
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Aleksandr Simma
, Moises Goldszmidt
, John MacCormick
, Paul Barham
, Richard Black
, Rebecca Isaacs
, Richard Mortier
|
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Cumulative distribution networks and the derivative-sum-product algorithm |
|
Jim Huang
, Brendan Frey
|
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Discovering Cyclic Causal Models by Independent Components Analysis |
|
Gustavo Lacerda
, Peter Spirtes
, Joseph Ramsey
, Patrik Hoyer
|
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Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping |
|
Richard Sutton
, Csaba Szepesvari
, Alborz Geramifard
, Michael Bowling
|
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Efficient inference in persistent Dynamic Bayesian Networks |
|
Tomas Singliar
, Denver Dash
|
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Estimation and Clustering with Infinite Rankings |
|
Marina Meila
, Le Bao
|
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Explanation Trees for Causal Bayesian Networks |
|
Ulf Nielsen
, Jean-Philippe Pellet
, André Elisseeff
|
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Feature Selection via Block-Regularized Regression |
|
Seyoung Kim
, Eric Xing
|
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Flexible Priors for Exemplar-based Clustering |
|
Daniel Tarlow
, Richard Zemel
, Brendan Frey
|
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Gibbs Sampling in Factorized Continuous-Time Markov Processes |
|
Tal El-Hay
, Nir Friedman
, Raz Kupferman
|
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Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression |
|
Liefeng Bo
, Cristian Sminchisescu
|
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Hierarchical POMDP Controller Optimization by Likelihood Maximization |
|
Marc Toussaint
, Laurent Charlin
, Pascal Poupart
|
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Hybrid Variational/Gibbs Collapsed Inference in Topic Models |
|
Max Welling
, Yee Whye Teh
, Hilbert Kappen
|
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Identifying Dynamic Sequential Plans |
|
Jin Tian
|
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Identifying Optimal Sequential Decisions |
|
Philip Dawid
, Vanessa Didelez
|
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Identifying reasoning patterns in games |
|
Dimitrios Antos
, Avi Pfeffer
|
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Improving Gradient Estimation by Incorporating Sensor Data |
|
Gregory Lawrence
, Stuart Russell
|
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Improving the Accuracy and Efficiency of MAP Inference for Markov Logic |
|
Sebastian Riedel
|
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Inference for Multiplicative Models |
|
Ydo Wexler
, Christopher Meek
|
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Knowledge Combination in Graphical Multiagent Model |
|
Quang Duong
, Michael Wellman
, Satinder Singh
|
|
Latent Topic Models for Hypertext |
|
Amit Gruber
, Michal Rosen-Zvi
, Yair Weiss
|
|
Learning and Solving Many-Player Games through a Cluster-Based Representation |
|
Sevan Ficici
, David Parkes
, Avi Pfeffer
|
|
Learning Arithmetic Circuits |
|
Daniel Lowd
, Pedro Domingos
|
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Learning Convex Inference of Marginals |
|
Justin Domke
|
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Learning Hidden Markov Models for Regression using Path Aggregation |
|
Keith Noto
, Mark Craven
|
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Learning Inclusion-Optimal Chordal Graphs |
|
Vincent Auvray
, Louis Wehenkel
|
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Learning the Bayesian Network Structure: Dirichlet Prior versus Data |
|
Harald Steck
|
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Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium |
|
Greg Hines
, Kate Larson
|
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Model-Based Bayesian Reinforcement Learning in Large Structured Domains |
|
Stephane Ross
, Joelle Pineau
|
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Modelling local and global phenomena with sparse Gaussian processes |
|
Jarno Vanhatalo
, Aki Vehtari
|
|
Multi-View Learning in the Presence of View Disagreement |
|
C. Christoudias
, Raquel Urtasun
, Trevor Darrell
|
|
Multi-View Learning over Structured and Non-Identical Outputs |
|
Kuzman Ganchev
, Joao Graca
, John Blitzer
, Ben Taskar
|
|
New Techniques for Algorithm Portfolio Design |
|
Matthew Streeter
, Stephen Smith
|
|
Observation Subset Selection as Local Compilation of Performance Profiles |
|
Yan Radovilsky
, Solomon Shimony
|
|
On Identifying Total Effects in the Presence of Latent Variables and Selection bias |
|
Zhihong Cai
, Manabu Kuroki
|
|
On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach |
|
Mathias Niepert
, Dirk Van Gucht
, Marc Gyssens
|
|
Partitioned Linear Programming Approximations for MDPs |
|
Branislav Kveton
, Milos Hauskrecht
|
|
Projected Subgradient Methods for Learning Sparse Gaussians |
|
John Duchi
, Stephen Gould
, Daphne Koller
|
|
Propagation using Chain Event Graphs |
|
Peter Thwaites
, Jim Smith
, Robert Cowell
|
|
Refractor Importance Sampling |
|
Haohai Yu
, Robert van Engelen
|
|
Sampling First Order Logical Particles |
|
Hannaneh Hajishirzi
, Eyal Amir
|
|
Sensitivity analysis for finite Markov chains in discrete time |
|
Gert de Cooman
, Filip Hermans
, Erik Quaeghebeur
|
|
Sensitivity analysis in decision circuits |
|
Debarun Bhattacharjya
, Ross Shachter
|
|
Small Sample Inference for Generalization Error in Classification Using the CUD Bound |
|
Eric Laber
, Susan Murphy
|
|
Sparse Stochastic Finite-State Controllers for POMDPs |
|
Eric Hansen
|
|
Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions |
|
Alejandro Isaza
, Csaba Szepesvari
, Vadim Bulitko
, Russell Greiner
|
|
Strategy Selection in Influence Diagrams using Imprecise Probabilities |
|
Cassio de Campos
, Qiang Ji
|
|
The Computational Complexity of Sensitivity Analysis and Parameter Tuning |
|
Johan Kwisthout
, Linda van der Gaag
|
|
The Evaluation of Causal Effects in Studies with an Unobserved Exposure/Outcome Variable: Bounds and Identification |
|
Manabu Kuroki
, Zhihong Cai
|
|
The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features |
|
Kurt Miller
, Thomas Griffiths
, Michael Jordan
|
|
Tightening LP Relaxations for MAP using Message Passing |
|
David Sontag
, Talya Meltzer
, Amir Globerson
, Tommi Jaakkola
, Yair Weiss
|
|
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression |
|
David Mimno
, Andrew McCallum
|
|
Toward Experiential Utility Elicitation for Interface Customization |
|
Bowen Hui
, Craig Boutilier
|
