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ORCID30th UAI 2014: Quebec City, Quebec, Canada
- Nevin L. Zhang, Jin Tian:
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, UAI 2014, Quebec City, Quebec, Canada, July 23-27, 2014. AUAI Press 2014, ISBN 978-0-9749039-1-0 - Sreangsu Acharyya, Joydeep Ghosh:
MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking. 2-11 - Stefano V. Albrecht, Subramanian Ramamoorthy:
On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. 12-21 - Elaine Angelino, Eddie Kohler, Amos Waterland, Margo I. Seltzer, Ryan P. Adams:
Accelerating MCMC via Parallel Predictive Prefetching. 22-31 - Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen:
A variational approach to stable principal component pursuit. 32-41 - Eirini Arvaniti, Manfred Claassen:
Markov Network Structure Learning via Ensemble-of-Forests Models. 42-51 - Kim Bauters, Weiru Liu, Jun Hong, Carles Sierra, Lluís Godo:
CAN(PLAN)+: Extending the Operational Semantics of the BDI Architecture to deal with Uncertain Information. 52-61 - David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum:
Message Passing for Soft Constraint Dual Decomposition. 62-71 - Debarun Bhattacharjya, Jeffrey O. Kephart:
Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps. 72-81 - Wei Bi, Liwei Wang, James T. Kwok, Zhuowen Tu:
Learning to Predict from Crowdsourced Data. 82-91 - Hung Hai Bui, Tuyen N. Huynh, David A. Sontag:
Lifted Tree-Reweighted Variational Inference. 92-101 - Trevor Campbell, Jonathan P. How:
Approximate Decentralized Bayesian Inference. 102-111 - Rafael Chaves, Lukas Luft, Thiago O. Maciel, David Gross, Dominik Janzing, Bernhard Schölkopf:
Inferring latent structures via information inequalities. 112-121 - Nguyen Viet Cuong, Wee Sun Lee, Nan Ye:
Near-optimal Adaptive Pool-based Active Learning with General Loss. 122-131 - Gary Doran, Krikamol Muandet, Kun Zhang, Bernhard Schölkopf:
A Permutation-Based Kernel Conditional Independence Test. 132-141 - Kumar Avinava Dubey, Sinead Williamson, Eric P. Xing:
Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models. 142-151 - Miroslav Dudík, Rafael M. Frongillo, Jennifer Wortman Vaughan:
Market Making with Decreasing Utility for Information. 152-161 - Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov:
Universal Convexification via Risk-Aversion. 162-171 - Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi, Francesca Incardona:
Structured Proportional Jump Processes. 172-181 - Edith Elkind, Nisarg Shah:
Electing the Most Probable Without Eliminating the Irrational: Voting Over Intransitive Domains. 182-191 - Beyza Ermis, Guillaume Bouchard:
Iterative Splits of Quadratic Bounds for Scalable Binary Tensor Factorization. 192-199 - Xiannian Fan, Brandon M. Malone, Changhe Yuan:
Finding Optimal Bayesian Network Structures with Constraints Learned from Data. 200-209 - Norman Ferns, Doina Precup:
Bisimulation Metrics are Optimal Value Functions. 210-219 - James R. Foulds, Padhraic Smyth:
Annealing Paths for the Evaluation of Topic Models. 220-229 - Roman Garnett, Michael A. Osborne, Philipp Hennig:
Active Learning of Linear Embeddings for Gaussian Processes. 230-239 - Philipp Geiger, Dominik Janzing, Bernhard Schölkopf:
Estimating Causal Effects by Bounding Confounding. 240-249 - Michael A. Gelbart, Jasper Snoek, Ryan P. Adams:
Bayesian Optimization with Unknown Constraints. 250-259 - Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B. Sudderth:
Nonparametric Clustering with Distance Dependent Hierarchies. 260-269 - Siddharth Gopal, Yiming Yang:
Transformation-based Probabilistic Clustering with Supervision. 270-279 - Eric Gribkoff, Guy Van den Broeck, Dan Suciu:
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. 280-289 - Jonathan Grizou, Iñaki Iturrate, Luis Montesano, Pierre-Yves Oudeyer, Manuel Lopes:
Interactive Learning from Unlabeled Instructions. 290-299 - Quanquan Gu, Tong Zhang, Jiawei Han:
Batch-Mode Active Learning via Error Bound Minimization. 300-309 - Tom Gunter, Chris M. Lloyd, Michael A. Osborne, Stephen J. Roberts:
Efficient Bayesian Nonparametric Modelling of Structured Point Processes. 310-319 - John T. Halloran, Jeff A. Bilmes, William Stafford Noble:
Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry. 320-329 - Hado van Hasselt, Ashique Rupam Mahmood, Richard S. Sutton:
Off-policy TD( l) with a true online equivalence. 330-339 - Antti Hyttinen, Frederick Eberhardt, Matti Järvisalo:
Constraint-based Causal Discovery: Conflict Resolution with Answer Set Programming. 340-349 - Masakazu Ishihata, Tomoharu Iwata:
Generating structure of latent variable models for nested data. 350-359 - Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes:
Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization. 360-369 - Vidit Jain, Sainyam Galhotra:
Min-d-Occur: Ensuring Future Occurrences in Streaming Sets. 370-379 - Melih Kandemir, Fred A. Hamprecht:
Instance Label Prediction by Dirichlet Process Multiple Instance Learning. 380-389 - Shamin Kinathil, Scott Sanner, Nicolás Della Penna:
Closed-form Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming. 390-399 - Akihiro Kishimoto, Radu Marinescu:
Recursive Best-First AND/OR Search for Optimization in Graphical Models. 400-409 - Henning Köhler, Sebastian Link:
Saturated Conditional Independence with Fixed and Undetermined Sets of Incomplete Random Variables. 410-419 - Branislav Kveton, Zheng Wen, Azin Ashkan, Hoda Eydgahi, Brian Eriksson:
Matroid Bandits: Fast Combinatorial Optimization with Learning. 420-429 - Xin Li, Feipeng Zhao, Yuhong Guo:
Multi-label Image Classification with A Probabilistic Label Enhancement Model. 430-439 - Alexandre Lacoste, Hugo Larochelle, Mario Marchand, François Laviolette:
Sequential Model-Based Ensemble Optimization. 440-448 - Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng:
Position-Aware ListMLE: A Sequential Learning Process for Ranking. 449-458 - Loïc Landrieu, Guillaume Obozinski:
Continuously indexed Potts models on unoriented graphs. 459-468 - Thomas A. Lasko:
Efficient Inference of Gaussian-Process-Modulated Renewal Processes with Application to Medical Event Data. 469-476 - Tor Lattimore, Koby Crammer, Csaba Szepesvári:
Optimal Resource Allocation with Semi-Bandit Feedback. 477-486 - Daniel S. Levine, Jonathan P. How:
Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models. 487-495 - Ping Li:
CoRE Kernels. 496-504 - Ming Lin, Rong Jin, Changshui Zhang:
Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property. 505-514 - Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng:
Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. 515-524 - Yichao Lu, Dean P. Foster:
Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent. 525-532 - Zhuang Ma, Dean P. Foster, Robert A. Stine:
Adaptive Monotone Shrinkage for Regression. 533-542 - Dougal Maclaurin, Ryan P. Adams:
Firefly Monte Carlo: Exact MCMC with Subsets of Data. 543-552 - Román Marchant, Fabio Ramos, Scott Sanner:
Sequential Bayesian Optimisation for Spatial-Temporal Monitoring. 553-562 - Radu Marinescu, Rina Dechter, Alexander Ihler:
AND/OR Search for Marginal MAP. 563-572 - Andrés R. Masegosa:
Stochastic Discriminative EM. 573-582 - Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen:
Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models. 583-592 - Edward Meeds, Max Welling:
GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation. 593-602 - Martin Mladenov, Amir Globerson, Kristian Kersting:
Lifted Message Passing as Reparametrization of Graphical Models. 603-612 - David A. Moore, Stuart Russell:
Fast Gaussian Process Posteriors with Product Trees. 613-622 - Willie Neiswanger, Chong Wang, Eric P. Xing:
Asymptotically Exact, Embarrassingly Parallel MCMC. 623-632 - Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing:
Modeling Citation Networks Using Latent Random Offsets. 633-642 - Trung V. Nguyen, Edwin V. Bonilla:
Collaborative Multi-output Gaussian Processes. 643-652 - Thijs van Ommen:
Combining predictions from linear models when training and test inputs differ. 653-662 - Rina Panigrahy, Preyas Popat:
Optimal amortized regret in every interval. 663-671 - Jervis Pinto, Alan Fern:
Learning Partial Policies to Speedup MDP Tree Search. 672-681 - Emmanouil Antonios Platanios, Avrim Blum, Tom M. Mitchell:
Estimating Accuracy from Unlabeled Data. 682-691 - Sashank J. Reddi, Barnabás Póczos:
k-NN Regression on Functional Data with Incomplete Observations. 692-701 - Daniel J. Rosenkrantz, Madhav V. Marathe, Ravi Sundaram, Anil Vullikanti:
Bayesian Inference in Treewidth-Bounded Graphical Models Without Indegree Constraints. 702-711 - Salman Salamatian, Nadia Fawaz, Branislav Kveton, Nina Taft:
SPPM: Sparse Privacy Preserving Mappings. 712-721 - Tianlin Shi, Da Tang, Liwen Xu, Thomas Moscibroda:
Correlated Compressive Sensing for Networked Data. 722-731 - Anshumali Shrivastava, Ping Li:
Improved Densification of One Permutation Hashing. 732-741 - Siddharth Srivastava, Stuart Russell, Paul Ruan, Xiang Cheng:
First-Order Open-Universe POMDPs. 742-751 - Ioan Stanculescu, Christopher K. I. Williams, Yvonne Freer:
A Hierarchical Switching Linear Dynamical System Applied to the Detection of Sepsis in Neonatal Condition Monitoring. 752-761 - Karl Stratos, Do-kyum Kim, Michael Collins, Daniel J. Hsu:
A Spectral Algorithm for Learning Class-Based n-gram Models of Natural Language. 762-771 - Liessman Sturlaugson, John W. Sheppard:
Inference Complexity in Continuous Time Bayesian Networks. 772-779 - Erik Talvitie:
Model Regularization for Stable Sample Rollouts. 780-789 - Yaniv Tenzer, Gal Elidan:
HELM: Highly Efficient Learning of Mixed copula networks. 790-799 - Alessandra Tosi, Søren Hauberg, Alfredo Vellido, Neil D. Lawrence:
Metrics for Probabilistic Geometries. 800-808 - Long Tran-Thanh, Lampros C. Stavrogiannis, Victor Naroditskiy, Valentin Robu, Nicholas R. Jennings, Peter B. Key:
Efficient Regret Bounds for Online Bid Optimisation in Budget-Limited Sponsored Search Auctions. 809-818 - Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich:
A Consistent Estimator of the Expected Gradient Outerproduct. 819-828 - Vladimir Vovk, Ivan Petej:
Venn-Abers Predictors. 829-838 - Yoav Wald, Amir Globerson:
Tightness Results for Local Consistency Relaxations in Continuous MRFs. 839-848 - Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun:
Bayesian Filtering with Online Gaussian Process Latent Variable Models. 849-857 - Adrian Weller, Tony Jebara:
Approximating the Bethe Partition Function. 858-867 - Adrian Weller, Kui Tang, Tony Jebara, David A. Sontag:
Understanding the Bethe Approximation: When and How can it go Wrong? 868-877 - Hao Wu:
A Bayesian Nonparametric Model for Spectral Estimation of Metastable Systems. 878-887 - Matt Wytock, Suvrit Sra, Jeremy Z. Kolter:
Fast Newton methods for the group fused lasso. 888-897 - Liang Xiong, Jeff G. Schneider:
Learning from Point Sets with Observational Bias. 898-906 - Benito van der Zander, Maciej Liskiewicz, Johannes Textor:
Constructing Separators and Adjustment Sets in Ancestral Graphs. 907-916 - Chunlai Zhou, Mingyue Wang, Biao Qin:
Belief-Kinematics Jeffrey-s Rules in the Theory of Evidence. 917-926
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