UAI 2014

109 papers

A Bayesian Nonparametric Model for Spectral Estimation of Metastable Systems Hao Wu

A Comparison of Two MCMC Algorithms for Hierarchical Mixture Models Russell G. Almond

A Consistent Estimator of the Expected Gradient Outerproduct Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich

A Hierarchical Switching Linear Dynamical System Applied to the Detection of Sepsis in Neonatal Condition Monitoring Ioan Stanculescu, Christopher K. I. Williams, Yvonne Freer

A Permutation-Based Kernel Conditional Independence Test Gary Doran, Krikamol Muandet, Kun Zhang, Bernhard Schölkopf

A Spectral Algorithm for Learning Class-Based N-Gram Models of Natural Language Karl Stratos, Do-kyum Kim, Michael Collins, Daniel J. Hsu

A Variational Approach to Stable Principal Component Pursuit Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen

Accelerating MCMC via Parallel Predictive Prefetching Elaine Angelino, Eddie Kohler, Amos Waterland, Margo I. Seltzer, Ryan P. Adams

Active Learning of Linear Embeddings for Gaussian Processes Roman Garnett, Michael A. Osborne, Philipp Hennig

Adaptive Monotone Shrinkage for Regression Zhuang Ma, Dean P. Foster, Robert A. Stine

An Object-Oriented Dynamic Bayesian Decision Network Model for Grasslands Adaptive Management Owen Woodberry, Jess Millett-Riley, Steve Sinclair, Ann E. Nicholson

AND/OR Search for Marginal MAP Radu Marinescu, Rina Dechter, Alexander Ihler

Annealing Paths for the Evaluation of Topic Models James R. Foulds, Padhraic Smyth

Approximate Decentralized Bayesian Inference Trevor Campbell, Jonathan P. How

Approximating the Bethe Partition Function Adrian Weller, Tony Jebara

Asymptotically Exact, Embarrassingly Parallel MCMC Willie Neiswanger, Chong Wang, Eric P. Xing

Batch-Mode Active Learning via Error Bound Minimization Quanquan Gu, Tong Zhang, Jiawei Han

Bayesian Filtering with Online Gaussian Process Latent Variable Models Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun

Bayesian Inference in Treewidth-Bounded Graphical Models Without Indegree Constraints Daniel J. Rosenkrantz, Madhav V. Marathe, Ravi Sundaram, Anil Vullikanti

Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps Debarun Bhattacharjya, Jeffrey O. Kephart

Bayesian Network Parameter Learning Using EM with Parameter Sharing Erik Reed, Ole J. Mengshoel

Bayesian Optimization with Unknown Constraints Michael A. Gelbart, Jasper Snoek, Ryan P. Adams

Belief-Kinematics Jeffrey's Rules in the Theory of Evidence Chunlai Zhou, Mingyue Wang, Biao Qin

Bisimulation Metrics Are Optimal Value Functions Norman Ferns, Doina Precup

CAN(PLAN)+: Extending the Operational Semantics of the BDI Architecture to Deal with Uncertain Information Kim Bauters, Weiru Liu, Jun Hong, Carles Sierra, Lluís Godo

Closed-Form Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming Shamin Kinathil, Scott Sanner, Nicolás Della Penna

Collaborative Multi-Output Gaussian Processes Trung V. Nguyen, Edwin V. Bonilla

Combining Predictions from Linear Models When Training and Test Inputs Differ Thijs van Ommen

Constraint-Based Causal Discovery: Conflict Resolution with Answer Set Programming Antti Hyttinen, Frederick Eberhardt, Matti Järvisalo

Constructing Separators and Adjustment Sets in Ancestral Graphs Benito van der Zander, Maciej Liskiewicz, Johannes Textor

Continuously Indexed Potts Models on Unoriented Graphs Loïc Landrieu, Guillaume Obozinski

CoRE Kernels Ping Li

Correlated Compressive Sensing for Networked Data Tianlin Shi, Da Tang, Liwen Xu, Thomas Moscibroda

Dynamic Bayesian Network Modeling of Vascularization in Engineered Tissues Caner Komurlu, Jinjian Shao, Mustafa Bilgic

Efficient Bayesian Nonparametric Modelling of Structured Point Processes Tom Gunter, Chris M. Lloyd, Michael A. Osborne, Stephen J. Roberts

Efficient Inference of Gaussian-Process-Modulated Renewal Processes with Application to Medical Event Data Thomas A. Lasko

Efficient Regret Bounds for Online Bid Optimisation in Budget-Limited Sponsored Search Auctions Long Tran-Thanh, Lampros C. Stavrogiannis, Victor Naroditskiy, Valentin Robu, Nicholas R. Jennings, Peter B. Key

Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property Ming Lin, Rong Jin, Changshui Zhang

Electing the Most Probable Without Eliminating the Irrational: Voting over Intransitive Domains Edith Elkind, Nisarg Shah

Estimating Accuracy from Unlabeled Data Emmanouil Antonios Platanios, Avrim Blum, Tom M. Mitchell

Estimating Causal Effects by Bounding Confounding Philipp Geiger, Dominik Janzing, Bernhard Schölkopf

Fast Gaussian Process Posteriors with Product Trees David A. Moore, Stuart Russell

Fast Newton Methods for the Group Fused Lasso Matt Wytock, Suvrit Sra, Jeremy Z. Kolter

Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent Yichao Lu, Dean P. Foster

Finding Optimal Bayesian Network Structures with Constraints Learned from Data Xiannian Fan, Brandon M. Malone, Changhe Yuan

Firefly Monte Carlo: Exact MCMC with Subsets of Data Dougal Maclaurin, Ryan P. Adams

First-Order Open-Universe POMDPs Siddharth Srivastava, Stuart Russell, Paul Ruan, Xiang Cheng

Generating Structure of Latent Variable Models for Nested Data Masakazu Ishihata, Tomoharu Iwata

GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation Edward Meeds, Max Welling

HELM: Highly Efficient Learning of Mixed Copula Networks Yaniv Tenzer, Gal Elidan

Hierarchical Bayesian Survival Analysis and Projective Covariate Selection in Cardiovascular Event Risk Prediction Tomi Peltola, Aki S. Havulinna, Veikko Salomaa, Aki Vehtari

How Occam's Razor Provides a Neat Definition of Direct Causation Alexander Gebharter, Gerhard Schurz

Hydrologic Predictions Using Probabilistic Relational Models Max Metzger, Alison O'Connor, David Boutt

Improved Densification of One Permutation Hashing Anshumali Shrivastava, Ping Li

Inference Complexity in Continuous Time Bayesian Networks Liessman Sturlaugson, John W. Sheppard

Inferring Latent Structures via Information Inequalities Rafael Chaves, Lukas Luft, Thiago O. Maciel, David Gross, Dominik Janzing, Bernhard Schölkopf

Instance Label Prediction by Dirichlet Process Multiple Instance Learning Melih Kandemir, Fred A. Hamprecht

Interactive Learning from Unlabeled Instructions Jonathan Grizou, Iñaki Iturrate, Luis Montesano, Pierre-Yves Oudeyer, Manuel Lopes

Iterative Splits of Quadratic Bounds for Scalable Binary Tensor Factorization Beyza Ermis, Guillaume Bouchard

k-NN Regression on Functional Data with Incomplete Observations Sashank J. Reddi, Barnabás Póczos

Latent Kullback Leibler Control for Continuous-State Systems Using Probabilistic Graphical Models Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen

Learning from Point Sets with Observational Bias Liang Xiong, Jeff G. Schneider

Learning Partial Policies to Speedup MDP Tree Search Jervis Pinto, Alan Fern

Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry John T. Halloran, Jeff A. Bilmes, William Stafford Noble

Learning to Predict from Crowdsourced Data Wei Bi, Liwei Wang, James T. Kwok, Zhuowen Tu

Lifted Message Passing as Reparametrization of Graphical Models Martin Mladenov, Amir Globerson, Kristian Kersting

Lifted Tree-Reweighted Variational Inference Hung Hai Bui, Tuyen N. Huynh, David A. Sontag

Market Making with Decreasing Utility for Information Miroslav Dudík, Rafael M. Frongillo, Jennifer Wortman Vaughan

Markov Network Structure Learning via Ensemble-of-Forests Models Eirini Arvaniti, Manfred Claassen

Matroid Bandits: Fast Combinatorial Optimization with Learning Branislav Kveton, Zheng Wen, Azin Ashkan, Hoda Eydgahi, Brian Eriksson

MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking Sreangsu Acharyya, Joydeep Ghosh

Message Passing for Soft Constraint Dual Decomposition David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum

Metrics for Probabilistic Geometries Alessandra Tosi, Søren Hauberg, Alfredo Vellido, Neil D. Lawrence

Min-D-Occur: Ensuring Future Occurrences in Streaming Sets Vidit Jain, Sainyam Galhotra

Model Regularization for Stable Sample Rollouts Erik Talvitie

Modeling Citation Networks Using Latent Random Offsets Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing

Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes

Multi-Label Image Classification with a Probabilistic Label Enhancement Model Xin Li, Feipeng Zhao, Yuhong Guo

Multi-Process Models - An Application for the Construction of Financial Factor Models Kevin R. Keane, Jason J. Corso

Near-Optimal Adaptive Pool-Based Active Learning with General Loss Nguyen Viet Cuong, Wee Sun Lee, Nan Ye

Nonparametric Clustering with Distance Dependent Hierarchies Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B. Sudderth

Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng

Off-Policy TD(λ) with a True Online Equivalence Hado van Hasselt, Ashique Rupam Mahmood, Richard S. Sutton

On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems Stefano V. Albrecht, Subramanian Ramamoorthy

Optimal Amortized Regret in Every Interval Rina Panigrahy, Preyas Popat

Optimal Resource Allocation with Semi-Bandit Feedback Tor Lattimore, Koby Crammer, Csaba Szepesvári

Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models Kumar Avinava Dubey, Sinead Williamson, Eric P. Xing

Position-Aware ListMLE: A Sequential Learning Process for Ranking Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng

Propensity Score Matching for Causal Inference with Relational Data David T. Arbour, Katerina Marazopoulou, Dan Garant, David D. Jensen

Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models Daniel S. Levine, Jonathan P. How

Recursive Best-First AND/OR Search for Optimization in Graphical Models Akihiro Kishimoto, Radu Marinescu

Saturated Conditional Independence with Fixed and Undetermined Sets of Incomplete Random Variables Henning Köhler, Sebastian Link

Semantics for Improving Accuracy and Reducing Complexity in Strategic Decision Facilitation Tools Oscar Kipersztok

Sequential Bayesian Optimisation for Spatial-Temporal Monitoring Román Marchant, Fabio Ramos, Scott Sanner

Sequential Model-Based Ensemble Optimization Alexandre Lacoste, Hugo Larochelle, Mario Marchand, François Laviolette

SPPM: Sparse Privacy Preserving Mappings Salman Salamatian, Nadia Fawaz, Branislav Kveton, Nina Taft

Stochastic Discriminative EM Andrés R. Masegosa

Structured Proportional Jump Processes Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi, Francesca Incardona

Tightness Results for Local Consistency Relaxations in Continuous MRFs Yoav Wald, Amir Globerson

Toward Learning Graphical and Causal Process Models Christopher Meek

Trade-Based Asset Models for Combinatorial Prediction Markets Wei Sun, Robin Hanson, Kathryn B. Laskey, Charles Twardy

Transformation-Based Probabilistic Clustering with Supervision Siddharth Gopal, Yiming Yang

Type-II Errors of Independence Tests Can Lead to Arbitrarily Large Errors in Estimated Causal Effects: An Illustrative Example Nicholas Cornia, Joris M. Mooij

Understanding the Bethe Approximation: When and How Can It Go Wrong? Adrian Weller, Kui Tang, Tony Jebara, David A. Sontag

Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting Eric Gribkoff, Guy Van den Broeck, Dan Suciu

Universal Convexification via Risk-Aversion Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov

Using Bayesian Attack Detection Models to Drive Cyber Deception James Jones, Kathryn B. Laskey

Using Bayesian Networks to Identify and Prevent Split Purchases in Brazil Rommel N. Carvalho, Leonardo Sales, Henrique A. Da Rocha, Gilson Libório Mendes

Venn-Abers Predictors Vladimir Vovk, Ivan Petej