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ORCID28th UAI 2012: Catalina Island, CA, USA
- Nando de Freitas, Kevin P. Murphy:
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, August 14-18, 2012. AUAI Press 2012 - Judea Pearl:
The Do-Calculus Revisited. 3-11 - Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer:
PAC-Bayesian Inequalities for Martingales. 12 - Thomas S. Richardson, James M. Robins, Ilya Shpitser:
Nested Markov Properties for Acyclic Directed Mixed Graphs. 13 - Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh:
Learning to Rank With Bregman Divergences and Monotone Retargeting. 15-25 - Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox:
Markov Determinantal Point Processes. 26-35 - Lucas Agussurja, Hoong Chuin Lau:
Toward Large-Scale Agent Guidance in an Urban Taxi Service. 36-43 - Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng:
Uncertain Congestion Games with Assorted Human Agent Populations. 44-53 - Kareem Amin, Michael J. Kearns, Peter B. Key, Anton Schwaighofer:
Budget Optimization for Sponsored Search: Censored Learning in MDPs. 54-63 - Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht:
Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation. 64-73 - Udi Apsel, Ronen I. Brafman:
Exploiting Uniform Assignments in First-Order MPE. 74-83 - Cédric Archambeau, Francois Caron:
Plackett-Luce regression: A new Bayesian model for polychotomous data. 84-92 - Raman Arora, Ofer Dekel, Ambuj Tewari:
Deterministic MDPs with Adversarial Rewards and Bandit Feedback. 93-101 - 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:
Video In Sentences Out. 102-112 - Elias Bareinboim, Judea Pearl:
Causal Inference by Surrogate Experiments: z-Identifiability. 113-120 - Dhruv Batra:
An Efficient Message-Passing Algorithm for the M-Best MAP Problem. 121-130 - Guy Van den Broeck, Arthur Choi, Adnan Darwiche:
Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference. 131-141 - Stéphane Caron, Branislav Kveton, Marc Lelarge, Smriti Bhagat:
Leveraging Side Observations in Stochastic Bandits. 142-151 - Hau Chan, Michael Ceyko, Luis E. Ortiz:
Interdependent Defense Games: Modeling Interdependent Security under Deliberate Attacks. 152-162 - Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme:
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. 163-173 - Yutian Chen, Max Welling:
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior. 174-184 - Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan:
Designing Informative Securities. 185-195 - Jaesik Choi, Eyal Amir:
Lifted Relational Variational Inference. 196-206 - Tom Claassen, Tom Heskes:
A Bayesian Approach to Constraint Based Causal Inference. 207-216 - Jilles Steeve Dibangoye, Christopher Amato, Arnaud Doniec:
Scaling Up Decentralized MDPs Through Heuristic Search. 217-226 - Wen Dong, Alex Pentland, Katherine A. Heller:
Graph-Coupled HMMs for Modeling the Spread of Infection. 227-236 - Séverine Dubuisson, Christophe Gonzales, Xuan Son Nguyen:
DBN-Based Combinatorial Resampling for Articulated Object Tracking. 237-246 - Miroslav Dudík, Dumitru Erhan, John Langford, Lihong Li:
Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits. 247-254 - Stefano Ermon, Carla P. Gomes, Bart Selman:
Uniform Solution Sampling Using a Constraint Solver As an Oracle. 255-264 - Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi:
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. 265-274 - Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade:
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. 275-285 - Nicola Gatti, Giorgio Patrini, Marco Rocco, Tuomas Sandholm:
Combining local search techniques and path following for bimatrix games. 286-295 - Andrew Gelfand, Max Welling:
Generalized Belief Propagation on Tree Robust Structured Region Graphs. 296-305 - Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum:
Exploiting compositionality to explore a large space of model structures. 306-315 - Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning. 316-325 - Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins:
Semantic Understanding of Professional Soccer Commentaries. 326-335 - Joseph Y. Halpern, Samantha Leung:
Weighted Sets of Probabilities and MinimaxWeighted Expected Regret: New Approaches for Representing Uncertainty and Making Decisions. 336-345 - Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony:
Selecting Computations: Theory and Applications. 346-355 - Tamir Hazan, Jian Peng, Amnon Shashua:
Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs. 356-366 - Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern:
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. 367-376 - Ferenc Huszar, David Duvenaud:
Optimally-Weighted Herding is Bayesian Quadrature. 377-386 - Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer:
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables. 387-396 - Alexander Ihler, Natalia Flerova, Rina Dechter, Lars Otten:
Join-graph based cost-shifting schemes. 397-406 - Rishabh K. Iyer, Jeff A. Bilmes:
Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications. 407-417 - Sashank Jakkam Reddi, Emma Brunskill:
Incentive Decision Processes. 418-427 - Kshitij Judah, Alan Fern, Thomas G. Dietterich:
Active Imitation Learning via Reduction to I.I.D. Active Learning. 428-437 - Andrey Kolobov, Mausam, Daniel S. Weld:
A Theory of Goal-Oriented MDPs with Dead Ends. 438-447 - Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen:
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. 448-458 - Joshua Letchford, Yevgeniy Vorobeychik:
Computing Optimal Security Strategies for Interdependent Assets. 459-468 - Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin:
Nested Dictionary Learning for Hierarchical Organization of Imagery and Text. 469-478 - Hui Lin, Jeff A. Bilmes:
Learning Mixtures of Submodular Shells with Application to Document Summarization. 479-490 - Christopher H. Lin, Mausam, Daniel S. Weld:
Crowdsourcing Control: Moving Beyond Multiple Choice. 491-500 - Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King:
Response Aware Model-Based Collaborative Filtering. 501-510 - Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page:
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. 511-522 - Qiang Liu, Alexander Ihler:
Belief Propagation for Structured Decision Making. 523-532 - Daniel Lowd:
Closed-Form Learning of Markov Networks from Dependency Networks. 533-542 - Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier:
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. 543-553 - Thomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari:
Heuristic Ranking in Tightly Coupled Probabilistic Description Logics. 554-563 - Sridhar Mahadevan, Bo Liu:
Sparse Q-learning with Mirror Descent. 564-573 - Radu Marinescu, Abdul Razak, Nic Wilson:
Multi-objective Influence Diagrams. 574-583 - Marwan A. Mattar, Allen R. Hanson, Erik G. Learned-Miller:
Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics. 584-593 - Sergiy Matusevych, Alexander J. Smola, Amr Ahmed:
Hokusai - Sketching Streams in Real Time. 594-603 - Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon:
The Complexity of Approximately Solving Influence Diagrams. 604-613 - Kira Mourão, Luke Zettlemoyer, Ronald P. A. Petrick, Mark Steedman:
Learning STRIPS Operators from Noisy and Incomplete Observations. 614-623 - Mathias Niepert:
Markov Chains on Orbits of Permutation Groups. 624-633 - Teppo Niinimaki, Pekka Parviainen:
Local Structure Discovery in Bayesian Networks. 634-643 - Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu:
Hilbert Space Embeddings of POMDPs. 644-653 - Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Exploiting Structure in Cooperative Bayesian Games. 654-665 - Lars Otten, Rina Dechter:
A Case Study in Complexity Estimation: Towards Parallel Branch-and-Bound over Graphical Models. 665-674 - Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing:
A Spectral Algorithm for Latent Junction Trees. 675-684 - Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang:
A Model-Based Approach to Rounding in Spectral Clustering. 685-694 - Ariel D. Procaccia, Sashank Jakkam Reddi, Nisarg Shah:
A Maximum Likelihood Approach For Selecting Sets of Alternatives. 695-704 - Khaled S. Refaat, Arthur Choi, Adnan Darwiche:
New Advances and Theoretical Insights into EDML. 705-714 - Jens Röder, Boaz Nadler, Kevin Kunzmann, Fred A. Hamprecht:
Active Learning with Distributional Estimates. 715-725 - Julia A. Palacios, Vladimir N. Minin:
Integrated Nested Laplace Approximation for Bayesian Nonparametric Phylodynamics. 726-735 - Giuseppe Sanfilippo:
From imprecise probability assessments to conditional probabilities with quasi additive classes of conditioning events. 736-745 - Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr:
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. 746-755 - Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey:
Predicting the behavior of interacting humans by fusing data from multiple sources. 756-765 - Ricardo Silva:
Latent Composite Likelihood Learning for the Structured Canonical Correlation Model. 765-774 - Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble:
Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra. 775-785 - Mathieu Sinn, Ali Ghodsi, Karsten Keller:
Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions. 786-794 - David A. Sontag, Do Kook Choe, Yitao Li:
Efficiently Searching for Frustrated Cycles in MAP Inference. 795-804 - Marek Petrik, Dharmashankar Subramanian:
An Approximate Solution Method for Large Risk-Averse Markov Decision Processes. 805-814 - Wei Sun, Robin Hanson, Kathryn B. Laskey, Charles Twardy:
Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets. 815-824 - Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey:
Fast Exact Inference for Recursive Cardinality Models. 825-834 - Gavin Taylor, Ronald Parr:
Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear Programs. 835-842 - Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell:
Factorized Multi-Modal Topic Model. 843-851 - Mirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Römer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer:
Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants. 852-862 - Thomas J. Walsh, Sergiu Goschin:
Dynamic Teaching in Sequential Decision Making Environments. 863-872 - Jun Wang, Yinglong Xia:
Fast Graph Construction Using Auction Algorithm. 873-882 - Max Welling, Andrew Gelfand, Alexander Ihler:
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. 883-892 - Michael P. Wellman, Eric Sodomka, Amy Greenwald:
Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions. 893-902 - Jason Weston, John Blitzer:
Latent Structured Ranking. 903-913 - David P. Wipf:
Non-Convex Rank Minimization via an Empirical Bayesian Approach. 914-923 - Changhe Yuan, Brandon M. Malone:
An Improved Admissible Heuristic for Learning Optimal Bayesian Networks. 924-933 - Zongzhang Zhang, Xiaoping Chen:
FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs. 934-943 - Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari:
Guess Who Rated This Movie: Identifying Users Through Subspace Clustering. 944-953
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last updated on 2024-11-19 20:32 CET by the dblp team
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