UAI A

102 papers

YearTitle / Authors
2011A Framework for Optimizing Paper Matching.
Laurent Charlin, Richard S. Zemel, Craig Boutilier
2011A Geometric Traversal Algorithm for Reward-Uncertain MDPs.
Eunsoo Oh, Kee-Eung Kim
2011A Logical Characterization of Constraint-Based Causal Discovery.
Tom Claassen, Tom Heskes
2011A Sequence of Relaxation Constraining Hidden Variable Models.
Greg Ver Steeg, Aram Galstyan
2011A Unifying Framework for Linearly Solvable Control.
Krishnamurthy Dvijotham, Emanuel Todorov
2011A temporally abstracted Viterbi algorithm.
Shaunak Chatterjee, Stuart Russell
2011Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks.
Gowtham Bellala, Jason Stanley, Clayton Scott, Suresh K. Bhavnani
2011Active Learning for Developing Personalized Treatment.
Kun Deng, Joelle Pineau, Susan A. Murphy
2011Active Semi-Supervised Learning using Submodular Functions.
Andrew Guillory, Jeff A. Bilmes
2011Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective.
Johannes Textor, Maciej Liskiewicz
2011An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models.
Ilya Shpitser, Thomas S. Richardson, James M. Robins
2011An Efficient Protocol for Negotiation over Combinatorial Domains with Incomplete Information.
Minyi Li, Quoc Bao Vo, Ryszard Kowalczyk
2011Approximation by Quantization.
Vibhav Gogate, Pedro M. Domingos
2011Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood.
Benjamin M. Marlin, Nando de Freitas
2011Bayesian network learning with cutting planes.
James Cussens
2011Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization.
Lu Zheng, Ole J. Mengshoel, Jike Chong
2011Belief change with noisy sensing in the situation calculus.
Jianbing Ma, Weiru Liu, Paul Miller
2011Boosting as a Product of Experts.
Narayanan Unny Edakunni, Gary Brown, Tim Kovacs
2011Bregman divergence as general framework to estimate unnormalized statistical models.
Michael Gutmann, Junichiro Hirayama
2011Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs (Abstract).
Alain Hauser, Peter Bühlmann
2011Classification of Sets using Restricted Boltzmann Machines.
Jérôme Louradour, Hugo Larochelle
2011Compact Mathematical Programs For DEC-MDPs With Structured Agent Interactions.
Hala Mostafa, Victor R. Lesser
2011Compressed Inference for Probabilistic Sequential Models.
Gungor Polatkan, Oncel Tuzel
2011Conditional Restricted Boltzmann Machines for Structured Output Prediction.
Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton
2011Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract).
Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman
2011Deconvolution of mixing time series on a graph.
Alexander W. Blocker, Edoardo M. Airoldi
2011Detecting low-complexity unobserved causes.
Dominik Janzing, Eleni Sgouritsa, Oliver Stegle, Jonas Peters, Bernhard Schölkopf
2011Discovering causal structures in binary exclusive-or skew acyclic models.
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara
2011Distributed Anytime MAP Inference.
Joop van de Ven, Fabio Ramos
2011Dynamic Mechanism Design for Markets with Strategic Resources.
Swaprava Nath, Onno Zoeter, Yadati Narahari, Christopher R. Dance
2011Dynamic consistency and decision making under vacuous belief.
Phan Hong Giang
2011EDML: A Method for Learning Parameters in Bayesian Networks.
Arthur Choi, Khaled S. Refaat, Adnan Darwiche
2011Efficient Inference in Markov Control Problems.
Thomas Furmston, David Barber
2011Efficient Optimal Learning for Contextual Bandits.
Miroslav Dudík, Daniel J. Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang
2011Efficient Probabilistic Inference with Partial Ranking Queries.
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
2011Ensembles of Kernel Predictors.
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2011Extended Lifted Inference with Joint Formulas.
Udi Apsel, Ronen I. Brafman
2011Factored Filtering of Continuous-Time Systems.
E. Busra Celikkaya, Christian R. Shelton, William Lam
2011Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks.
Vinayak A. Rao, Yee Whye Teh
2011Filtered Fictitious Play for Perturbed Observation Potential Games and Decentralised POMDPs.
Archie C. Chapman, Simon Andrew Williamson, Nicholas R. Jennings
2011Fractional Moments on Bandit Problems.
Ananda Narayanan B., Balaraman Ravindran
2011Generalised Wishart Processes.
Andrew Gordon Wilson, Zoubin Ghahramani
2011Generalized Fast Approximate Energy Minimization via Graph Cuts: a-Expansion b-Shrink Moves.
Mark Schmidt, Karteek Alahari
2011Generalized Fisher Score for Feature Selection.
Quanquan Gu, Zhenhui Li, Jiawei Han
2011Graph Cuts is a Max-Product Algorithm.
Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel, Brendan J. Frey
2011Graphical Models for Bandit Problems.
Kareem Amin, Michael J. Kearns, Umar Syed
2011Hierarchical Affinity Propagation.
Inmar E. Givoni, Clement Chung, Brendan J. Frey
2011Hierarchical Maximum Margin Learning for Multi-Class Classification.
Jian-Bo Yang, Ivor W. Tsang
2011Identifiability of Causal Graphs using Functional Models.
Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf
2011Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search.
Brandon M. Malone, Changhe Yuan, Eric A. Hansen, Susan Bridges
2011Incentives in Group Decision-Making With Uncertainty and Subjective Beliefs.
Ruggiero Cavallo
2011Inference in Probabilistic Logic Programs using Weighted CNF's.
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
2011Iterated risk measures for risk-sensitive Markov decision processes with discounted cost.
Takayuki Osogami
2011Kernel-based Conditional Independence Test and Application in Causal Discovery.
Kun Zhang, Jonas Peters, Dominik Janzing, Bernhard Schölkopf
2011Learning Determinantal Point Processes.
Alex Kulesza, Ben Taskar
2011Learning high-dimensional DAGs with latent and selection variables (Abstract).
Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson
2011Learning is planning: near Bayes-optimal reinforcement learning via Monte-Carlo tree search.
John Asmuth, Michael L. Littman
2011Learning mixed graphical models from data with p larger than n.
Inma Tur, Robert Castelo
2011Learning with Missing Features.
Afshin Rostamizadeh, Alekh Agarwal, Peter L. Bartlett
2011Lipschitz Parametrization of Probabilistic Graphical Models.
Jean Honorio
2011Measuring the Hardness of Stochastic Sampling on Bayesian Networks with Deterministic Causalities: the k-Test.
Haohai Yu, Robert van Engelen
2011Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation.
Akshat Kumar, Shlomo Zilberstein
2011Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model.
Myunghwan Kim, Jure Leskovec
2011Multidimensional counting grids: Inferring word order from disordered bags of words.
Nebojsa Jojic, Alessandro Perina
2011Near-Optimal Target Learning With Stochastic Binary Signals.
Mithun Chakraborty, Sanmay Das, Malik Magdon-Ismail
2011New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices.
Nima Reyhani, Hideitsu Hino, Ricardo Vigário
2011Noisy Search with Comparative Feedback.
Shiau Hong Lim, Peter Auer
2011Noisy-OR Models with Latent Confounding.
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
2011Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions.
Barnabás Póczos, Liang Xiong, Jeff G. Schneider
2011On the Complexity of Decision Making in Possibilistic Decision Trees.
Hélène Fargier, Nahla Ben Amor, Wided Guezguez
2011Online Importance Weight Aware Updates.
Nikos Karampatziakis, John Langford
2011Order-of-Magnitude Influence Diagrams.
Radu Marinescu, Nic Wilson
2011PAC-Bayesian Policy Evaluation for Reinforcement Learning.
Mahdi Milani Fard, Joelle Pineau, Csaba Szepesvári
2011Partial Order MCMC for Structure Discovery in Bayesian Networks.
Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto
2011Pitman-Yor Diffusion Trees.
David A. Knowles, Zoubin Ghahramani
2011Planar Cycle Covering Graphs.
Julian Yarkony, Alexander Ihler, Charless C. Fowlkes
2011Portfolio Allocation for Bayesian Optimization.
Matthew Hoffman, Eric Brochu, Nando de Freitas
2011Price Updating in Combinatorial Prediction Markets with Bayesian Networks.
David M. Pennock, Lirong Xia
2011Probabilistic Theorem Proving.
Vibhav Gogate, Pedro M. Domingos
2011Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering.
Yaoliang Yu, Dale Schuurmans
2011Reasoning about RoboCup Soccer Narratives.
Hannaneh Hajishirzi, Julia Hockenmaier, Erik T. Mueller, Eyal Amir
2011Reconstructing Pompeian Households.
David M. Mimno
2011Risk Bounds for Infinitely Divisible Distribution.
Chao Zhang, Dacheng Tao
2011Robust learning Bayesian networks for prior belief.
Maomi Ueno
2011Semi-supervised Learning with Density Based Distances.
Avleen Singh Bijral, Nathan D. Ratliff, Nathan Srebro
2011Sequential Inference for Latent Force Models.
Jouni Hartikainen, Simo Särkkä
2011Smoothing Multivariate Performance Measures.
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2011Smoothing Proximal Gradient Method for General Structured Sparse Learning.
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing
2011Solving Cooperative Reliability Games.
Yoram Bachrach, Reshef Meir, Michal Feldman, Moshe Tennenholtz
2011Sparse Topical Coding.
Jun Zhu, Eric P. Xing
2011Sparse matrix-variate Gaussian process blockmodels for network modeling.
Feng Yan, Zenglin Xu, Yuan (Alan) Qi
2011Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs (Abstract).
Greg Ver Steeg, Aram Galstyan, Armen E. Allahverdyan
2011Strictly Proper Mechanisms with Cooperating Players.
SangIn Chun, Ross D. Shachter
2011Suboptimality Bounds for Stochastic Shortest Path Problems.
Eric A. Hansen
2011Sum-Product Networks: A New Deep Architecture.
Hoifung Poon, Pedro M. Domingos
2011Symbolic Dynamic Programming for Discrete and Continuous State MDPs.
Scott Sanner, Karina Valdivia Delgado, Leliane Nunes de Barros
2011Testing whether linear equations are causal: A free probability theory approach.
Jakob Zscheischler, Dominik Janzing, Kun Zhang
2011The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information.
Michael P. Wellman, Lu Hong, Scott E. Page
2011Tightening MRF Relaxations with Planar Subproblems.
Julian Yarkony, Ragib Morshed, Alexander Ihler, Charless C. Fowlkes
2011UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011
Fábio Gagliardi Cozman, Avi Pfeffer
2011Variational Algorithms for Marginal MAP.
Qiang Liu, Alexander Ihler
2011What Cannot be Learned with Bethe Approximations.
Uri Heinemann, Amir Globerson