UAI 2013 ACCEPTED PAPERS
Oral Presentations
ID: 185Title: Generative Multiple-Instance Learning Models For Quantitative Electromyography
Authors: Tameem Adel, Ruth Urner, Benn Smith, Daniel Stashuk, Dan Lizotte
ID: 85
Title: Active Sensing as Bayes-Optimal Sequential Decision Making
Authors: Sheeraz Ahmad, Angela Yu
ID: 165
Title: Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases
Authors: Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
ID: 160
Title: Properties of the Lov\'asz-Bregman Divergence with applications to rank aggregation and clustering
Authors: Jeff Bilmes, Rishabh Iyer
ID: 127
Title: Hilbert Space Embeddings of Predictive State Representations
Authors: Byron Boots, Geoffrey Gordon, Arthur Gretton
ID: 158
Title: Automorphism Groups of Graphical Models and Lifted Variational Inference
Authors: Hung Bui, Tuyen Huynh, Sebasitan Riedel
ID: 31
Title: POMDPs under Probabilistic Semantics
Authors: Krishnendu Chatterjee, Martin Chmelík
ID: 121
Title: Learning Sparse Causal Models is not NP-hard
Authors: Tom Claassen, Joris Mooij, Tom Heskes
ID: 18
Title: Advances in Bayesian Network Learning using Integer Programming
Authors: James Cussens, Mark Bartlett
ID: 117
Title: Optimization With Parity Constraints: From Binary Codes to Discrete Integration
Authors: Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman
ID: 211
Title: Bethe-ADMM for Tree Decomposition based Parallel MAP Inference
Authors: Qiang Fu, Huahua Wang, Arindam Banerjee
ID: 91
Title: Structured Message Passing
Authors: Vibhav Gogate, Pedro Domingos
ID: 208
Title: Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes
Authors: Judy Goldsmith, Josiah Hanna, Patrice Perny, Paul Weng
ID: 97
Title: Constrained Bayesian Inference for Low Rank Multitask Learning
Authors: Oluwasanmi Koyejo, Joydeep Ghosh
ID: 62
Title: Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks
Authors: Brandon Malone, Changhe Yuan
ID: 142
Title: On the Complexity of Strong and Epistemic Credal Networks
Authors: Denis Maua, Cassio de Campos, Alessio Benavoli, Alessandro Antonucci
ID: 154
Title: Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries
Authors: James McInerney, Alex Rogers, NIcholas Jennings
ID: 23
Title: Cyclic Causal Discovery from Continuous Equilibrium Data
Authors: Joris Mooij, Tom Heskes
ID: 219
Title: Treedy: A Heuristic for Counting and Sampling Subsets
Authors: Teppo Niinimäki, Mikko Koivisto
ID: 247
Title: Evaluating computational models of explanation using human judgments
Authors: Michael Pacer, Tania Lombrozo, Thomas Griffiths, Joseph Williams, Xi Chen
ID: 207
Title: Sparse Nested Markov models with Log-linear Parameters
Authors: Ilya Shpitser, Robin Evans, Thomas Richardson, James Robins
ID: 25
Title: Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality
Authors: Vikas Sindhwani, Minh Ha Quang, Genova, Aurelie Lozano
ID: 166
Title: Modeling Documents with Deep Boltzmann Machines
Authors: Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey Hinton
ID: 125
Title: Bounded Approximate Symbolic Dynamic Programming for Hybrid MDPs
Authors: Luis Gustavo Vianna, Scott Sanner, Leliane de Barros
ID: 27
Title: On MAP Inference by MWSS on Perfect Graphs
Authors: Adrian Weller, Tony Jebara
ID: 46
Title: Active Learning with Expert Advice
Authors: Peilin ZHAO, Steven Hoi
Poster Presentations
ID: 148Title: The Bregman Variational Dual-Tree Framework
Authors: Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
ID: 176
Title: Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction
Authors: Stephen Bach, Bert Huang, Ben London, Lise Getoor
ID: 146
Title: High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning
Authors: Krishnakumar Balasubramanian, kai yu, Tong Zhang
ID: 37
Title: Reasoning about Probabilities in Dynamic Systems using Goal Regression
Authors: Vaishak Belle, Hector Levesque
ID: 225
Title: Probabilistic Conditional Preference Networks
Authors: Damien Bigot, Bruno Zanuttini, Helene Fargier, Jérôme Mengin
ID: 135
Title: Boosting in the presence of label noise
Authors: Jakramate Bootkrajang, Ata Kaban
ID: 47
Title: Scoring and Searching over Bayesian Networks with Causal and Associative Priors
Authors: Giorgos Borboudakis, Ioannis Tsamardinos
ID: 30
Title: SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure
Authors: Eliot Brenner, David Sontag
ID: 188
Title: Sample Complexity of Transfer Reinforcement Learning
Authors: Emma Brunskill, Lihong Li
ID: 134
Title: Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations
Authors: Jie Chen, Nannan Cao, Kian Hsiang Low, Colin Keng-Yan Tan, Patrick Jaillet
ID: 8
Title: Convex Relaxations of Bregman Divergence Clustering
Authors: Hao Cheng, Xinhua Zhang, Dale Schuurmans
ID: 240
Title: Qualitative possibilistic Mixed-Observable MDPs
Authors: Nicolas Drougard, Didier Dubois, Florent Teichteil-Königsbuch, Jean-Loup Farges
ID: 144
Title: Pushing the Envelope of Monte-Carlo Planning: Formal Guarantees Meet Practical Efficiency
Authors: Zohar Feldman, Carmel Domshlak
ID: 143
Title: Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens
Authors: Ravi Ganti, Alexander Gray
ID: 139
Title: Batch-iFDD for Representation Expansion in Large MDPs
Authors: Alborz Geramifard, Tom Walsh, Nicholas Roy, Jonathan How
ID: 76
Title: Multiple Instance Learning by Discriminative Training of Markov Networks
Authors: Hossein Hajimirsadeghi, jinling Li, Greg Mori, Tarek Sayed, Mohammad Zaki
ID: 54
Title: Unsupervised Learning of Noisy-OR Bayesian Networks
Authors: Yonatan Halpern, David Sontag
ID: 244
Title: Gaussian Processes for Big Data
Authors: James Hensman, Nicolo Fusi, Neil Lawrence
ID: 80
Title: Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models
Authors: Jean Honorio, Tommi Jaakkola
ID: 131
Title: Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure
Authors: Antti Hyttinen, Patrik Hoyer, Frederick Eberhardt, Matti Järvisalo
ID: 109
Title: Warped Mixtures for Nonparametric Cluster Shapes
Authors: Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani
ID: 199
Title: Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search
Authors: Arindam Khaled, Changhe Yuan, Eric Hansen
ID: 88
Title: Collective Diffusion Over Networks: Models and Inference
Authors: Akshat Kumar, Dan Sheldon, Biplav Srivastava
ID: 192
Title: Normalized Online Learning
Authors: John Langford, Paul Mineiro, Stephane Ross
ID: 70
Title: Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability
Authors: Sanghack Lee, Vasant Honavar
ID: 197
Title: A Sound and Complete Algorithm for Learning Causal Models from Relational Data
Authors: Marc Maier, Katerina Marazopoulou, David Arbour, David Jensen
ID: 66
Title: Learning Max-margin Tree Predictors
Authors: Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson
ID: 103
Title: Tighter Linear Program Relaxations for High Order Graphical Models
Authors: Elad Mezuman, Daniel Tarlow, Amir Globerson, Yair Weiss
ID: 24
Title: From Ordinary Differential Equations to Structural Causal Models: the deterministic case
Authors: Joris Mooij, Dominik Janzing, Bernhard Schoelkopf
ID: 4
Title: One-Class Support Measure Machines for Group Anomaly Detection
Authors: Krikamol Muandet, Bernhard Schoelkopf
ID: 161
Title: Finite-Time Analysis of Kernelised Contextual Bandits
Authors: Remi Munos, Michal Valko, Nathaniel Korda, Ilias Flaounas, Nelo Cristianini
ID: 151
Title: Structured Convex Optimization under Submodular Constraints
Authors: Kiyohito Nagano, Yoshinobu Kawahara
ID: 132
Title: Stochastic Rank Aggregation
Authors: Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
ID: 93
Title: Pay or Play
Authors: Sigal Oren, Michael Schapira, Moshe Tennenholtz
ID: 167
Title: Solution Methods for Constrained Markov Decision Process with Continuous Probability Modulation
Authors: Marek Petrik, Dharmashankar Subramanian, Janusz Marecki
ID: 118
Title: The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models
Authors: Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani
ID: 21
Title: Beyond Log-Supermodularity: Lower Bounds and the Bethe Partition Function
Authors: Nicholas Ruozzi
ID: 110
Title: Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders
Authors: Eleni Sgouritsa, Dominik Janzing, Jonas Peters, Bernhard Schölkopf
ID: 200
Title: Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering
Authors: Amar Shah, Zoubin Ghahramani
ID: 248
Title: Preference Elicitation For General Random Utility Models
Authors: Hossein Azari Soufiani, David Parkes, Lirong Xia
ID: 189
Title: Calculation of Entailed Rank Constraints in Partially Non-Linear and Cyclic Models
Authors: Peter Spirtes
ID: 63
Title: Speedy Model Selection (SMS) for Copula Models
Authors: Yaniv Tenzer, Gal Elidan
ID: 106
Title: Probabilistic inverse reinforcement learning in unknown environments
Authors: Aristide Tossou, Abomey-Calavi, Christos Dimitrakakis
ID: 14
Title: Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs
Authors: Charles Tripp, Ross Shachter
ID: 221
Title: Dynamic Blocking and Collapsing for Gibbs Sampling
Authors: Deepak Venugopal, Vibhav Gogate
ID: 35
Title: Integrating document clustering and topic modeling
Authors: Pengtao Xie, Eric Xing
ID: 61
Title: Bennett-type Generalization Bounds: Large-deviation Case and Faster Rate of Convergence
Authors: Chao Zhang, Jieping Ye
