Tuesday August 14th

Tutorials

Wednesday August 15th

The main conference is held at Catalina Casino.

8:40-9:30	Invited talk - Tom Mitchell Cancelled
8:30-9:15	Breakfast
9:15-9:30	Opening Remarks
9:30-10:30	Session 1 - Bandits, sequential decision theory (Chair: Ron Parr)

	161	PAC-Bayesian Inequalities for Martingales Y. Seldin, F. Laviolette, N. Cesa-Bianchi, J. Shawe-Taylor, P. Auer
	123	Selecting Computations: Theory and Applications N. Hay, S. E. Shimony, D. Tolpin, S. Russell
	262	Dynamic Teaching in Sequential Decision Making Environments T. Walsh, S. Goschin

10:30-11:00	Coffee
11:00-12:00	Session 2 - Approximate Inference (Chair: David Sontag)

	213	Optimally-Weighted Herding is Bayesian Quadrature F. Huszar, D. Duvenaud
	271	Exploiting compositionality to explore a large space of model structures R. Grosse, R. Salakhutdinov, W. Freeman, J. Tenenbaum
	11	Exploiting Unifrom Assignments in First-Order MPE U. Apsel, R. Brafman

12:00-1:30	Lunch
1:30-2:30	Invited talk - Bill Macready
2:30-3:10	Session 3 - Ranking and optimization (Chair: Lihong Li)

	44	Latent Structured Ranking J. Weston, J. Blitzer
	282	Non-Convex Rank Minimization via an Empirical Bayesian Approach D. Wipf

3:10-3:30	Poster spotlights
3:30-5:30	Posters

Thursday August 16th

The main conference is held at Catalina Casino.

7:45-8:30	Breakfast
8:30-9:30	Invited talk - Pedro Felzenszwalb
9:30-10:30	Session 1 - Applications (Chair: Ben Taskar)

	102	Video In Sentences Out A. Barbu, A. Bridge, Z. Burchill, D. Coroian, S. Dickinson, S. Fidler, A. Michaux, S. Mussman, S. Narayanaswamy, D. Salvi, L. Schmidt, J. Shangguan, J. Siskind, J. Waggoner, S. Wang, Y. Yin, Z. Zhang
	61	Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies J. Liu, C. Zhang, C. McCarty, P. Peissig, E. Burnside, D. Page
	146	Toward Large-Scale Agent Guidance in an Urban Taxi Service L. Agussurja, H. C. Lau

10:30-11:00	Coffee
11:00-12:00	Session 2 - RL, decision theory (Chair: Nevin Zhang)

	269	Value Function Approximation in Noisy Environments using Locally Smoothed Regularized Approximate Linear Programs G. Taylor, R. Parr
	193	Active Imitation Learning via Reduction K. Judah, A. Fern, T. Dietterich
	163	Belief Propagation for Structured Decision Making Q. Liu, A. Ihler

12:00-12:45	Business meeting
12:00-1:45	Lunch
1:45-2:30	Summary of the Pascal approximate inference competition
2:30-3:10	Session 3 - Approximate Inference (Chair: Emily Fox)

	83	An Efficient Message-Passing Algorithm for the M-Best MAP Problem D. Batra
	160	Uniform Solution Sampling Using a Constraint Solver As an Oracle S. Ermon, C. Gomes, B. Selman

3:10-3:30	Poster spotlights
3:30-5:30	Posters
6:00-10:00	Banquet at the Casino Ballroom (moved from the Descanso Beach club)

Friday August 17th

The main conference is held at Catalina Casino.

7:45-8:30	Breakfast
8:30-9:30	Invited talk - Alex Gray
9:30-10:30	Session 1 - Optimization and learning (Chair: Brian Milch)

	231	Hokusai - Sketching Streams in Real Time S. Matusevych, A. Smola, A. Ahmed
	126	New Advances and Theoretical Insights into EDML K. Refaat, A. Choi, A. Darwiche
	298	Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications R. Iyer, J. Bilmes

10:30-11:00	Coffee
11:00-12:00	Session 2 - Game theory (Chair: Alex Smola)

	72	Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions M. Wellman, E. Sodomka, A. Greenwald
	246	Designing Informative Securities Y. Chen, M. Ruberry, J. W. Vaughan
	80	Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets W. Sun, R. Hanson, C. Twardy, K. Laskey

12:00-1:30	Lunch
1:30-1:50	Recognition of Judea Pearl's Turing Award (various speakers)
1:50-2:30	Invited talk - Judea Pearl
2:30-3:10	Session 3 - Causality (Chair: Ricardo Silva)

	162	Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables A. Hyttinen, F. Eberhardt, P. Hoyer
	234	A Bayesian Approach to Constraint Based Causal Inference T. Claassen, T. Heskes

3:10-3:30	Poster spotlights
3:30-5:30	Posters

Saturday August 18th

Workshops

Poster Spotlights

Wednesday:

	254	Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits M. Dudik, J. Langford, L. Li, D. Erhan
	253	Deterministic MDPs with Adversarial Rewards and Bandit Feedback O. Dekel, A. Tewari, R. Arora
	211	Response Aware Model-Based Collaborative Filtering G. Ling, H. Yang, M. Lyu, I. King
	208	Uncertain Congestion Games with Assorted Human Agent Populations A. Ahmed, P. Varakantham, S. Cheng
	57	Markov Chains on Orbits of Permutation Groups M. Niepert
	73	Weighted Sets of Probabilities and Minimax Weighted Expected Regret : New Approaches for Representing Uncertainty and Making Decisions J. Halpern, S. Leung

Thursday:

	302	Join-graph based cost-shifting schemes A. Ihler, N. Flerova, L. Otten, R. Dechter
	280	Efficiently Searching for Frustrated Cycles in MAP Inference D. Sontag, D. K. Choe, Y. Li
	247	A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation M. Welling, A. Gelfand, A. Ihler
	97	Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation S. Amizadeh, B. Thiesson, M. Hauskrecht
	9	A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning S. Gupta, D. Phung, S. Venkatesh
	94	Generalized Belief Propagation on Tree Robust Structured Region Graphs A. Gelfand, M. Welling

Friday:

	308	Closed-Form Learning of Markov Networks from Dependency Networks D. Lowd
	292	A Spectral Algorithm for Latent Junction Trees A. Parikh, L. Song, M. Ishteva, G. Teodoru, E. Xing
	290	Learning Mixtures of Submodular Shells with Application to Document Summarization J. Bilmes, H. Lin
	272	Factorized multi-modal topic model S. Virtanen, Y. Jia, A. Klami, T. Darrell
	248	Nested Markov Properties for Acyclic Directed Mixed Graphs T. Richardson, J. Robins, I. Shpitser
	242	Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants M. Wahabzada, K. Kersting, C. Bauckhage, C. Ršmer, A. Ballvora, F. Pinto, U. Rascher, J. Leon, L. PlŸmer

Posters

Wednesday:

	119	Latent Composite Likelihood Learning for the Structured Canonical Correlation Model R. Silva
	139	Combining local search techniques and path following for bimatrix games M. Rocco, N. Gatti, T. Sandholm, G. Patrini
	150	Exploiting Structure in Cooperative Bayesian Games F. Oliehoek, S. Whiteson, M. Spaan
	167	A Model-Based Approach to Rounding in Spectral Clustering A. H. Liu, N. Zhang, L. K. M. Poon, T. Liu
	175	Fast Graph Construction Using Auction Algorithm J. Wang, Y. Xia
	212	Plackett-Luce regression: A new Bayesian model for polychotomous data C. Archambeau, F. Caron
	237	Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior Y. Chen, M. Welling
	261	Sparse Q-learning with Mirror Descent B. Liu, S. Mahadevan
	274	Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra A. Singh, J. Halloran, J. Bilmes, K. Kirchoff, W. Noble
	320	A Case Study in Complexity Estimation: Towards Parallel Branch-and-Bound over Graphical Models L. Otten, R. Dechter
	166	The Complexity of Approximately Solving Influence Diagrams D. Maua, C. de Campos, M. Zaffalon
	29	FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs Z. Zhang, X. Chen
	46	A Maximum Likelihood Approach For Selecting Sets of Alternatives A. Procaccia, S. Reddi, N. Shah
	96	Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs T. Hazan, J. Peng, A. Shashua
	195	Markov Determinantal Point Processes R. H. Affandi, A. Kulesza, E. Fox
	215	Incentive Decision Processes S. Reddi, E. Brunskill
	249	Hilbert Space Embeddings of POMDPs Y. Nishiyama, A. Boularias, A. Gretton, K. Fukumizu
	51	Semantic Understanding of Professional Soccer Commentaries H. Hajishirzi, M.Rastegari, A. Farhadi, J. Hodgins

Thursday:

	313	Learning to Rank With Bregman Divergences and Monotone Retargeting S.Acharyya, O.Koyejo, J. Ghosh
	322	Lifted Relational Variational Inference J. Choi, E. Amir
	223	Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics M. Mattar, A. Hanson, E. Learned-Miller
	6	Dynamic Stochastic Orienteering Problems for Risk-Aware Applications H. C. Lau, W. Yeoh, P. Varakantham, D. T. Nguyen, H. Chen.
	76	Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing B. Savchynskyy, S. Schmidt, J. Kappes, C. Schnoerr
	88	An Approximate Solution Method for Large Risk-Averse Markov Decision Processes D. Subramanian, M. Petrik
	92	Computing Optimal Security Strategies for Interdependent Assets J. Letchford, Y. Vorobeychik
	110	Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena J. Chen, B. K. H. Low, C. K. Tan, A. Oran, P. Jaillet, J. Dolan, K. Rajan, R. Graham, G. Sukhatme
	122	Learning STRIPS Operators from Noisy and Incomplete Observations K. Mourao, L. Zettlemoyer, R. Petrick, M. Steedman
	129	Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference G. Broeck, A. Choi, A. Darwiche
	144	Guess Who Rated This Movie: Identifying Users Through Subspace Clustering N. Fawaz, S. Ioannidis, A. Montanari, A. Zhang
	152	DBN-Based Combinatorial Resampling for Articulated Object Tracking S. Dubuisson, C. Gonzales, X. S. Nguyen
	153	Local Structure Discovery in Bayesian Networks T. NiinimŠki, P. Parviainen
	173	From imprecise probability assessments to conditional probabilities with quasi additive classes of conditioning events G. Sanfilippo
	196	Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data A. Freno, M. Keller, G. Garriga, M. Tommasi
	201	Heuristic Ranking in Tightly Coupled Probabilistic Description Logics T. Lukasiewicz, M. V. Martinez, G. Orsi, G. Simari
	218	Multi-objective influence diagrams R. Marinescu, N. Wilson, A. Razak

Friday:

	227	Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare T. Lu, P. Tang, A. Procaccia, C. Boutilier
	236	Leveraging Side Observations in Stochastic Bandits S. Caron, B. Kveton, M. Lelarge, S. Bhagat
	265	Budget Optimization for Sponsored Search: Censored Learning in MDPs K. Amin, M. Kearns, P. Key, A. Schwaighofer
	266	Graph-Coupled HMMs for Modeling the Spread of Infection W. Dong, K. Heller, A. Pentland
	286	Scaling Up Decentralized MDPs Through Heuristic Search J. Dibangoye, C. Amato, A. Doniec
	291	Fast Exact Inference for Recursive Cardinality Models D. Tarlow, K. Swersky, R. Zemel, R. Adams, B. Frey
	294	Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games J. Hostetler, E. Dereszynski, T. Dietterich, A. Fern
	306	A Theory of Goal-Oriented MDPs with Dead Ends A. Kolobov, M. Mausam, D. Weld
	309	Crowdsourcing Control: Moving Beyond Multiple Choice C. Lin, M. Mausam, D. Weld
	311	Interdependent Defense Games: Modeling Interdependent Security under Deliberate Attacks H. Chan, L. Ortiz
	310	Integrated Nested Laplace Approximation for Bayesian Nonparametric Phylodynamics J. P. Roman, V. Minin
	132	Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions M. Sinn, A. Ghodsi, K. Keller
	36	Causal Inference by Surrogate Experiments E. Bareinboim, J. Pearl
	45	Active Learning with Distributional Estimates J. Roeder, B. Nadler, K. Kunzmann, F. Hamprecht
	74	Predicting the behavior of interacting humans by fusing data from multiple sources E. Schlicht, R. Lee, D. Wolpert, M. Kochenderfer, B. Tracey
	79	Nested Dictionary Learning for Hierarchical Organization of Imagery and Text L. Li, X. Zhang, M. Zhou, L. Carin
	100	An Improved Admissible Heuristic for Finding Optimal Bayesian Networks C. Yuan, B. Malone
	113	Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators D. Garg, S. Bhattacharya, S. Sellamanickam, S. Shevade