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UAI 2011 Program

Note the following:
  • Microsoft Best Paper Award: Sum-Product Networks: A New Deep Architecture, by Hoifung Poon and Pedro Domingos
  • Google Student Paper Award: Generalised Wishart Processes by Andrew Wilson and Zoubin Ghahramani
  • Best Paper Runner-Up: A Sequence of Relaxations Constraining Hidden Variable Models by Greg Ver Steeg and Aram Galstyan
  • Student Paper Runner-Up: Graph Cuts is a Max-Product Algorithm by Daniel Tarlow, Inmar Givoni, Richard Zemel and Brendan Frey

  • Thursday, July 14 - Tutorials
  • 8:30- Registration desk
  • 9:00-11:00 Tutorial on Causal Inference
  • 10:00-11:30 Break
  • 11:30-1:30 Tutorial on Adversarial Reasoning
  • 1:30-3:00 Lunch
  • 3:00-5:30 Tutorial on Combining Logic and Probability
  • 5-30- Reception
  • Friday, July 15
  • 8:30- Registration desk
  • 9:00-9:15 Opening
  • 9:15-10:15 Invited talk: Jim Rehg
  • 10:15-11:05 Session on Economic Models
    153Dynamic Mechanism Design for Markets with Strategic ResourcesS. Nath, O. Zoeter, Y. Narahari, C. Dance
    28The Structure of Signals: Causal Interdependence Models for Games of Incomplete InformationM. Wellman, L. Hong, S. Page
  • 11:05-11:30 Break
  • 11:30-12:45 Session on Causality
    206An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal ModelsI. Shpitser, T. Richardson, J. Robins
    146Identifiability of Causal Graphs using Functional ModelsJ. Peters, J. Mooij, D. Janzing, B. Schölkopf
    1A Sequence of Relaxations Constraining Hidden Variable ModelsG. Ver Steeg, A. Galstyan
  • 12:45-1:10 Poster Spotlights 1.1
  • 1:10-3:00 Lunch
  • 3:00-4:15 Session on Machine Learning I
    273Learning Mixed Graphical Models from Data with p Larger Than nI. Tur, R. Castelo
    270Learning Determinantal Point ProcessesA. Kulesza, B. Taskar
    266Active Semi-Supervised Learning using Submodular FunctionsA. Guillory, J. Bilmes
  • 4:15-4:40 Poster Spotlights 1.2
  • 4:40-7:10 Poster Session 1
  • Saturday, July 16
  • 9:00-10:15 Session on Markov Decision Processes and Reinforcement Learning
    170Symbolic Dynamic Programming for Discrete and Continuous State MDPsS. Sanner, K. Delgado, L. Barros
    201Efficient Inference in Markov Control ProblemsT. Furmston, D. Barber
    202Learning is Planning: Near Bayes-optimal Reinforcement Learning via Monte-Carlo Tree SearchJ. Asmuth, M. Littman
  • 10:15-10:40 Poster Spotlights 2.1
  • 10:40-11:00 Break
  • 11:00-12:00 Invited talk: Hod Lipson
  • 12:00-1:15 Session on Applications
    90Active Learning for Developing Personalized TreatmentK. Deng, J. Pineau, S. Murphy
    9Reconstructing Pompeian HouseholdsD. Mimno
    54Reasoning about Robocup Soccer NarrativesH. Hajishirzi, J. Hockenmaier, E. Mueller, E. Amir
  • 1:15-3:00 Lunch
  • 3:00-4:15 Session on Graphical Models
    244Graph Cuts is a Max-Product AlgorithmD. Tarlow, I. Givoni, R. Zemel, B. Frey
    252Approximation by QuantizationV. Gogate, P. Domingos
    81Sum-Product Networks: A New Deep ArchitectureH. Poon, P. Domingos
  • 4:15-4:40 Poster Spotlights 2.2
  • 4:40-7:10 Poster Session 2
  • 20:00- Banquet
  • Sunday, July 17
  • 9:00-10:15 Session on Machine Learning II
    238Pitman-Yor Diffusion TreesD. Knowles, Z. Ghahramani
    227Online Importance Weight Aware UpdatesN. Karampatziakis, J. Langford
    105Conditional Restricted Boltzmann Machines for Structured Output PredictionV. Mnih, H. Larochelle, G. Hinton
  • 10:15-10:40 Poster Spotlights 3.1
  • 10:40-11:00 Break
  • 11:00-12:00 Invited talk: Karl Friston
  • 12:00-12:50 Session on First-order Inference
    301Probabilistic Theorem ProvingV. Gogate, P. Domingos
    245Inference in Probabilistic Logic Programs using Weighted CNFsD. Fierens, G. Van den Broeck, I. Thon, B. Gutmann, L. de Raedt
  • 12:50-1:15 Poster Spotlights 3.2
  • 1:15-3:00 Lunch
  • 3:00-3:50 Session on Dynamic Reasoning
    52Generalised Wishart ProcessesA. Wilson, Z. Ghahramani
    310A Temporally Abstracted Viterbi AlgorithmS. Chatterjee, S. Russell
  • 3:50-6:20 Poster Session 3
  • 6:20-7:20 Business meeting
  • Poster Session 1

    2Iterated Risk Measures for Risk-Sensitive Markov Decision Processes with Discounted CostT. Osogami
    3Correction for Hidden Confounders in the Genetic Analysis of Gene ExpressionJ. Listgarten, E. Schadt, C. Kadie, D. Heckerman
    4Lipschitz Parametrization of Probabilistic Graphical ModelsJ. Honorio
    17Extended Lifted Inference with Joint FormulasU. Apsel, R. Brafman
    21Compressed Inference for Probabilistic Sequential ModelsG. Polatkan, O. Tuzel
    35Smoothing Proximal Gradient Method for General Structured Sparse LearningX. Chen, Q. Lin, S. Kim, J. Carbonell, E. Xing
    40Characterization and Greedy Learning of Interventional Markov Equivalence Classes of DAGsA. Hauser, P. Bühlmann
    46Sparse Topical CodingJ. Zhu, E. Xing
    61An Efficient Protocol for Negotiation over Combinatorial Domains with Incomplete InformationM. Li, B. Vo, R. Kowalczyk
    65Order-of-Magnitude Influence DiagramsR. Marinescu, N. Wilson
    71A Unifying Framework for Linearly Solvable ControlD. Krishnamurthy, E. Todorov
    110Generalized Fast Approximate Energy Minimization via Graph Cuts: Alpha-Expansion Beta-Shrink MovesM. Schmidt, K. Alahari
    116Learning High-Dimensional DAGs with Latent and Selection VariablesD. Colombo, M. Maathuis, M. Kalisch, T. Richardson
    155PAC-Bayesian Policy Evaluation for Reinforcement LearningM. Milani Fard, C. Szepesvari, J. Pineau
    171Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault IdentificationG. Bellala, J. Stanley, C. Scott
    203Bregman Divergence as General Framework to Estimate Unnormalized Statistical ModelsM. Gutmann, J. Hirayama
    215A Structure Independent Characterization of Constraint-Based Causal DiscoveryT. Claassen, T. Heskes
    236Belief Propagation in Junction Trees: Parallel Message Passing using GPUL. Zheng, O. Mengshoel, J. Chong
    248Improving the Scalability of Optimal Bayesian Network Learning with Frontier BFBnB SearchB. Malone, C. Yuan, E. Hansen, S. Bridges
    249Hierarchical Affinity PropagationI. Givoni, C. Chung, B. Frey
    260Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based ModelsB. Marlin, N. de Freitas
    261Variational Algorithms for Marginal MAPQ. Liu, A. Ihler
    277Learning Parameters in Binary Bayesian NetworksA. Choi, A. Darwiche, K. Refaat
    282Factored Filtering of Continuous-Time SystemsE. Celikkaya, C. Shelton, W. Lam
    284Sparse Matrix-Variate Gaussian Process Blockmodels for Network ModelingF. Yan, Z. Xu, Y. Qi
    290Multidimensional Counting Grids: Inferring Word Order from Disordered Bags of WordsA. Perina, N. Jojic
    294Smoothing Multivariate Performance MeasuresX. Zhang, A. Saha, S. Vishwanathan

    Poster Session 2

    32Planar Cycle Covering GraphsJ. Yarkony, A. Ihler, C. Fowlkes
    53Detecting Low-complexity Unobserved CausesD. Janzing, E. Sgouritsa, O. Stegle, J. Peters, B. Schölkopf
    56Ensembles of Kernel PredictorsC. Cortes, M. Mohri, A. Rostamizadeh
    74The Impact of Uncertainty on the Solutions to Cooperative Reliability GamesB. Yoram
    85A Framework for Optimizing Paper MatchingL. Charlin, R. Zemel, C. Boutilier
    95Bayesian Network Learning with Cutting PlanesJ. Cussens
    100Filtered Fictitious Play for Perturbed Observation Potential Games and Decentralised POMDPsA. Chapman, S. Williamson, N. Jennings
    126Nonparametric Divergence Estimation with Applications to Machine Learning on DistributionsB. Poczos, L. Xiong, J. Schneider
    132New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel MatrixN. Reyhani, H. Hino, R. Vigario
    133Discovering Causal Structures in Binary Exclusive-or Skew Acyclic ModelsT. Inazumi, T. Washio, S. Shimizu, J. Suzuki, A. Yamamoto, Y. Kawahara
    134Partial Order MCMC for Structure Discovery in Bayesian NetworksT. Niinimäki, P. Parviainen, M. Koivisto
    139Message-Passing Algorithms for Quadratic Programming Formulations of MAP EstimationA. Kumar, S. Zilberstein
    141Noisy Search with Comparative FeedbackS. Lim, P. Auer
    142Portfolio Allocation for Bayesian OptimizationM. Hoffman, E. Brochu, N. de Freitas
    145Near-Optimal Target Learning With Stochastic Binary SignalsM. Chakraborty, S. Das, M. Magdon-Ismail
    159Dynamic Consistency and Decision Making under Vacuous BeliefP. Giang
    161Deconvolution of Mixing Time Series on a GraphA. Blocker, E. Airoldi
    163Classification of Sets using Restricted Boltzmann MachinesJ. Louradour, H. Larochelle
    195What Cannot be Learned with Bethe ApproximationsU. Heinemann, A. Globerson
    218Hierarchical Maximum Margin Learning for Multi-Class ClassificationJ. Yang , I. Tsang
    223Kernel-based Conditional Independence Test and Application in Causal DiscoveryK. Zhang, J. Peters, D. Janzing, B. Schölkopf
    228Graphical Models for Bandit ProblemsK. Amin, M. Kearns, U. Syed
    246Efficient Probabilistic Inference with Partial Ranking QueriesJ. Huang, A. Kapoor, C. Guestrin
    251Fast MCMC Sampling for Markov Jump Processes and Continuous Time Bayesian NetworksV. Rao, Y. Teh
    255Efficient Optimal Learning for Contextual BanditsM. Dudik, D. Hsu, S. Kale, N. Karampatziakis, J. Langford, L. Reyzin, T. Zhang
    293Fractional Moments on Bandit ProblemsA. BalajiKrishnan, B. Ravindran

    Poster Session 3

    6Strictly Proper Mechanisms with Cooperating PlayersS. Chun, R. Shachter
    22Distributed Anytime MAP InferenceJ. van de Ven, F. Ramos
    23Price Updating in Combinatorial Prediction Markets with Bayesian NetworksL. Xia, D. Pennock
    29Generalized Fisher Score for Feature SelectionQ. Gu, J. Han
    38Risk Bounds for Infinitely Divisible DistributionC. Zhang, D. Tao
    36Robust Learning Bayesian Networks for Prior BeliefM. Ueno
    45Semi-supervised Learning with Density Based DistancesA. Bijral, N. Ratliff, N. Srebro
    48Statistical Mechanics of Semi--Supervised Clustering in Sparse GraphsG. Ver Steeg, A. Galstyan, A. Allahverdyan
    55Rank/Norm Regularization with Closed-Form Solution: Application to Subspace ClusteringY. Yu, D. Schuurmans
    79Learning with Missing FeaturesA. Rostamizadeh, A. Agarwal, P. Bartlett
    98Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph ModelM. Kim, J. Leskovec
    113Noisy-OR Models with Latent ConfoundingA. Hyttinen, F. Eberhardt, P. Hoyer
    121On the Complexity of Decision Making in Possibilistic Decision TreesN. Ben Amor, H. Fargier, W. Guezguez
    130Testing Whether Linear Equations are Causal: A Free Probability Theory ApproachJ. Zscheischler, D. Janzing, K. Zhang
    131A Geometric Traversal Algorithm for Reward-Uncertain MDPsE. Oh, K. Kim
    137Measuring the Hardness of Stochastic Sampling on Bayesian Networks with Deterministic CausalitiesH. YU, R. van Engelen
    157Adjustment Criteria in Causal Diagrams: \ An Algorithmic PerspectiveJ. Textor, M. Liśkiewicz
    180Incentives in Group Decision-Making With Uncertainty and Subjective BeliefsR. Cavallo
    241Sequential Inference for Latent Force ModelsJ. Hartikainen, S. Särkkä
    258Compact Mathematical Programs For DEC-MDPs With Structured Agent InteractionsH. Mostafa, V. Lesser
    267Suboptimality Bounds for Stochastic Shortest Path ProblemsE. Hansen
    278Tightening MRF Relaxations with Planar SubproblemsJ. Yarkony, R. Morshed, A. Ihler, C. Fowlkes
    296Belief Change with Noisy Sensing in the Situation CalculusJ. Ma, W. Liu, P. Miller
    299Boosting as a Product of ExpertsN. Edakunni, T. Kovacs, G. Brown