ML Anthology

UAI 2012

106 papers

A Bayesian Approach to Constraint Based Causal Inference Tom Claassen, Tom Heskes
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A Case Study in Complexity Estimation: Towards Parallel Branch-and-Bound over Graphical Models Lars Otten, Rina Dechter
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A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation Max Welling, Andrew Gelfand, Alexander Ihler
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A Maximum Likelihood Approach for Selecting Sets of Alternatives Ariel D. Procaccia, Sashank Jakkam Reddi, Nisarg Shah
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A Model-Based Approach to Rounding in Spectral Clustering Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang
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A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
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A Spectral Algorithm for Latent Junction Trees Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing
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A State-Transition DBN for Management of Willows in an American Heritage River Catchment Ann E. Nicholson, Yung En Chee, Pedro Quintana-Ascencio
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A Theory of Goal-Oriented MDPs with Dead Ends Andrey Kolobov, Mausam, Daniel S. Weld
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Active Imitation Learning via Reduction to I.I.D. Active Learning Kshitij Judah, Alan Fern, Thomas G. Dietterich
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Active Learning with Distributional Estimates Jens Röder, Boaz Nadler, Kevin Kunzmann, Fred A. Hamprecht
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Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications Rishabh K. Iyer, Jeff A. Bilmes
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An Approximate Solution Method for Large Risk-Averse Markov Decision Processes Marek Petrik, Dharmashankar Subramanian
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An Efficient Message-Passing Algorithm for the M-Best MAP Problem Dhruv Batra
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An Improved Admissible Heuristic for Learning Optimal Bayesian Networks Changhe Yuan, Brandon M. Malone
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Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior Yutian Chen, Max Welling
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Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier
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Belief Propagation for Structured Decision Making Qiang Liu, Alexander Ihler
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Budget Optimization for Sponsored Search: Censored Learning in MDPs Kareem Amin, Michael J. Kearns, Peter B. Key, Anton Schwaighofer
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Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
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Causal Inference by Surrogate Experiments: Z-Identifiability Elias Bareinboim, Judea Pearl
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Closed-Form Learning of Markov Networks from Dependency Networks Daniel Lowd
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Combining Local Search Techniques and Path Following for Bimatrix Games Nicola Gatti, Giorgio Patrini, Marco Rocco, Tuomas Sandholm
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Computing Optimal Security Strategies for Interdependent Assets Joshua Letchford, Yevgeniy Vorobeychik
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Conjoint Modeling of Temporal Dependencies in Event Streams Ankur Parikh, Asela Gunawardana, Christopher Meek
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Contrasting Temporal Bayesian Network Models for Analyzing HIV Mutations Pablo Hernandez-Leal, Lindsey Jennifer Fiedler-Cameras, Alma Rios-Flores, Jesus A. Gonzalez, Luis Enrique Sucar
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Crowdsourcing Control: Moving Beyond Multiple Choice Christopher H. Lin, Mausam, Daniel S. Weld
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DBN-Based Combinatorial Resampling for Articulated Object Tracking Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen
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Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
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Designing Informative Securities Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan
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Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions Mathieu Sinn, Ali Ghodsi, Karsten Keller
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Deterministic MDPs with Adversarial Rewards and Bandit Feedback Raman Arora, Ofer Dekel, Ambuj Tewari
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Dynamic Stochastic Orienteering Problems for Risk-Aware Applications Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen
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Dynamic Teaching in Sequential Decision Making Environments Thomas J. Walsh, Sergiu Goschin
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Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr
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Efficiently Searching for Frustrated Cycles in MAP Inference David A. Sontag, Do Kook Choe, Yitao Li
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Exploiting Compositionality to Explore a Large Space of Model Structures Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum
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Exploiting Structure in Cooperative Bayesian Games Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
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Exploiting Uniform Assignments in First-Order MPE Udi Apsel, Ronen I. Brafman
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Factorized Multi-Modal Topic Model Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell
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Fast Exact Inference for Recursive Cardinality Models Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey
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Fast Graph Construction Using Auction Algorithm Jun Wang, Yinglong Xia
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FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs Zongzhang Zhang, Xiaoping Chen
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From Imprecise Probability Assessments to Conditional Probabilities with Quasi Additive Classes of Conditioning Events Giuseppe Sanfilippo
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Generalized Belief Propagation on Tree Robust Structured Region Graphs Andrew Gelfand, Max Welling
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Goal-Based Person Tracking Using a First-Order Probabilistic Model Thomas Geier, Stephan Reuter, Klaus Dietmayer, Susanne Biundo
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Graph-Coupled HMMs for Modeling the Spread of Infection Wen Dong, Alex Pentland, Katherine A. Heller
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Graphical-Model Based Multiple Testing Under Dependence, with Applications to Genome-Wide Association Studies Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
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Guess Who Rated This Movie: Identifying Users Through Subspace Clustering Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari
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Heuristic Ranking in Tightly Coupled Probabilistic Description Logics Thomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari
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High-Level Information Fusion with Bayesian Semantics Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang, Wei Sun, Cheol Young Park, Shou Matsumoto
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Hilbert Space Embeddings of POMDPs Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu
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Hokusai - Sketching Streams in Real Time Sergiy Matusevych, Alexander J. Smola, Amr Ahmed
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Incentive Decision Processes Sashank Jakkam Reddi, Emma Brunskill
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Incorporating Metadata into Dynamic Topic Analysis Tianxi Li, Branislav Kveton, Yu Wu, Ashwin Kashyap
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Inferring Strategies from Limited Reconnaissance in Real-Time Strategy Games Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern
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Integrated Nested Laplace Approximation for Bayesian Nonparametric Phylodynamics Julia A. Palacios, Vladimir N. Minin
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Interdependent Defense Games: Modeling Interdependent Security Under Deliberate Attacks Hau Chan, Michael Ceyko, Luis E. Ortiz
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Join-Graph Based Cost-Shifting Schemes Alexander Ihler, Natalia Flerova, Rina Dechter, Lars Otten
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Latent Composite Likelihood Learning for the Structured Canonical Correlation Model Ricardo Silva
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Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants Mirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Römer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer
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Latent Structured Ranking Jason Weston, John Blitzer
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Learning Mixtures of Submodular Shells with Application to Document Summarization Hui Lin, Jeff A. Bilmes
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Learning STRIPS Operators from Noisy and Incomplete Observations Kira Mourão, Luke Zettlemoyer, Ronald P. A. Petrick, Mark Steedman
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Learning to Rank with Bregman Divergences and Monotone Retargeting Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh
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Leveraging Side Observations in Stochastic Bandits Stéphane Caron, Branislav Kveton, Marc Lelarge, Smriti Bhagat
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Lifted Relational Variational Inference Jaesik Choi, Eyal Amir
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Lifted Relax, Compensate and Then Recover: From Approximate to Exact Lifted Probabilistic Inference Guy Van den Broeck, Arthur Choi, Adnan Darwiche
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Local Structure Discovery in Bayesian Networks Teppo Niinimaki, Pekka Parviainen
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Markov Chains on Orbits of Permutation Groups Mathias Niepert
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Markov Determinantal Point Processes Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox
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Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
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Multi-Objective Influence Diagrams Radu Marinescu, Abdul Razak, Nic Wilson
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Nested Dictionary Learning for Hierarchical Organization of Imagery and Text Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin
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Nested Markov Properties for Acyclic Directed Mixed Graphs Thomas S. Richardson, James M. Robins, Ilya Shpitser
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New Advances and Theoretical Insights into EDML Khaled S. Refaat, Arthur Choi, Adnan Darwiche
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Non-Convex Rank Minimization via an Empirical Bayesian Approach David P. Wipf
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On Approximate Inference of Dynamic Latent Classification Models for Oil Drilling Monitoring Shengtong Zhong
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Optimally-Weighted Herding Is Bayesian Quadrature Ferenc Huszar, David Duvenaud
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PAC-Bayesian Inequalities for Martingales Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
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Plackett-Luce Regression: A New Bayesian Model for Polychotomous Data Cédric Archambeau, Francois Caron
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Predicting the Behavior of Interacting Humans by Fusing Data from Multiple Sources Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
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Probability and Asset Updating Using Bayesian Networks for Combinatorial Prediction Markets Wei Sun, Robin Hanson, Kathryn B. Laskey, Charles Twardy
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Reactive Bayesian Network Computation Using Feedback Control: An Empirical Study Ole J. Mengshoel, Abe Ishihara, Erik Reed
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Response Aware Model-Based Collaborative Filtering Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King
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Sample-Efficient Nonstationary Policy Evaluation for Contextual Bandits Miroslav Dudík, Dumitru Erhan, John Langford, Lihong Li
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Scaling up Decentralized MDPs Through Heuristic Search Jilles Steeve Dibangoye, Christopher Amato, Arnaud Doniec
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Selecting Computations: Theory and Applications Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony
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Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions Michael P. Wellman, Eric Sodomka, Amy Greenwald
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Semantic Understanding of Professional Soccer Commentaries Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins
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Sparse Q-Learning with Mirror Descent Sridhar Mahadevan, Bo Liu
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Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi
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Spectrum Identification Using a Dynamic Bayesian Network Model of Tandem Mass Spectra Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble
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The Complexity of Approximately Solving Influence Diagrams Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
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The Do-Calculus Revisited Judea Pearl
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Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs Tamir Hazan, Jian Peng, Amnon Shashua
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Topics over Nonparametric Time: A Supervised Topic Model Using Bayesian Nonparametric Density Estimation Daniel David Walker, Eric K. Ringger, Kevin D. Seppi
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Toward Large-Scale Agent Guidance in an Urban Taxi Service Lucas Agussurja, Hoong Chuin Lau
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Uncertain Congestion Games with Assorted Human Agent Populations Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng
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Uniform Solution Sampling Using a Constraint Solver as an Oracle Stefano Ermon, Carla P. Gomes, Bart Selman
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Unsupervised Joint Alignment and Clustering Using Bayesian Nonparametrics Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller
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Using POMDPs to Forecast Kindergarten Students' Reading Comprehension Russell G. Almond, Umit Tokac, Stephanie Al Ortaiba
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Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear Programs Gavin Taylor, Ronald Parr
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Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
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Video in Sentences Out Andrei Barbu, Alexander Bridge, Zachary Burchill, Dan Coroian, Sven J. Dickinson, Sanja Fidler, Aaron Michaux, Sam Mussman, Siddharth Narayanaswamy, Dhaval Salvi, Lara Schmidt, Jiangnan Shangguan, Jeffrey Mark Siskind, Jarrell W. Waggoner, Song Wang, Jinlian Wei, Yifan Yin, Zhiqi Zhang
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Weighted Sets of Probabilities and MinimaxWeighted Expected Regret: New Approaches for Representing Uncertainty and Making Decisions Joseph Y. Halpern, Samantha Leung
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