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A Bayesian Probability Calculus for Density Matrices |
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Manfred Warmuth
, Dima Kuzmin
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A compact, hierarchical Q-function decomposition |
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Bhaskara Marthi
, Stuart Russell
, David Andre
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A concentration theorem for projections |
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Sanjoy Dasgupta
, Daniel Hsu
, Nakul Verma
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A new axiomatization for likelihood gambles |
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Phan Giang
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A Non-Parametric Bayesian Method for Inferring Hidden Causes |
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Frank Wood
, Thomas Griffiths
, Zoubin Ghahramani
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A Self-Supervised Terrain Roughness Estimator for Off-Road Autonomous Driving |
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David Stavens
, Sebastian Thrun
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A simple approach for finding the globally optimal Bayesian network structure |
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Tomi Silander
, Petri Myllymaki
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A theoretical study of Y structures for causal discovery |
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Subramani Mani
, Peter Spirtes
, Gregory Cooper
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A Variational Approach for Approximating Bayesian Networks by Edge Deletion |
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Arthur Choi
, Adnan Darwiche
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Adjacency-Faithfulness and Conservative Causal Inference |
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Joseph Ramsey
, Jiji Zhang
, Peter Spirtes
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Advances in exact Bayesian structure discovery in Bayesian networks |
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Mikko Koivisto
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An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees |
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Michael Littman
, Nishkam Ravi
, Arjun Talwar
, Martin Zinkevich
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An Efficient Triplet-based Algorithm for Evidential Reasoning |
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Yaxin Bi
, Jiwen Guan
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An Empirical Comparison of Algorithms for Aggregating Expert Predictions |
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Varsha Dani
, Omid Madani
, David Pennock
, Sumit Sanghai
, Brian Galebach
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Approximate Separability for Weak Interaction in Dynamic Systems |
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Avi Pfeffer
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Asymmetric separation for local independence graphs |
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Vanessa Didelez
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Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected Utility |
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Paul Weng
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Bayesian Inference for Gaussian Mixed Graph Models |
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Ricardo Silva
, Zoubin Ghahramani
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Bayesian Multicategory Support Vector Machines |
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Zhihua Zhang
, Michael Jordan
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Bayesian Random Fields: The Bethe-Laplace Approximation |
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Max Welling
, Sridevi Parise
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Belief Update in CLG Bayesian Networks With Lazy Propagation |
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Anders Madsen
|
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Chi-square Tests Driven Method for Learning the Structure of Factored MDPs |
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Thomas Degris
, Olivier Sigaud
, Pierre-Henri Wuillemin
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Continuous Time Markov Networks |
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Tal El-Hay
, Nir Friedman
, Daphne Koller
, Raz Kupferman
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Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering |
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Yuhong Guo
, Dale Schuurmans
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Cutset Sampling with Likelihood Weighting |
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Bozhena Bidyuk
, Rina Dechter
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Dimension Reduction in Singularly Perturbed Continuous-Time Bayesian Networks |
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Nir Friedman
, Raz Kupferman
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Direct and Indirect Effects of Sequential Treatments |
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Vanessa Didelez
, Philip Dawid
, Sara Geneletti
|
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Discriminative Learning via Semidefinite Probabilistic Models |
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Koby Crammer
, Amir Globerson
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Efficient Selection of Disambiguating Actions for Stereo Vision |
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Monika Schaeffer
, Ron Parr
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Faster Gaussian Summation: Theory and Experiment |
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Dongryeol Lee
, Alexander Gray
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Fitting Graphical Interaction Models to Multivariate Time Series |
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Michael Eichler
|
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From influence diagrams to multi-operator cluster DAGs |
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Cedric Pralet
, Thomas Schiex
, Gerard Verfaillie
|
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Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models |
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Matthew Beal
, Praveen Krishnamurthy
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General-Purpose MCMC Inference over Relational Structures |
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Brian Milch
, Stuart Russell
|
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Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation |
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Ian Porteous
, Alexander Ihler
, Padhraic Smyth
, Max Welling
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Graphical Condition for Identification in recursive SEM |
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Carlos Brito
, Judea Pearl
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Identification of Conditional Interventional Distributions |
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Ilya Shpitser
, Judea Pearl
|
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Identifying the Relevant Nodes Without Learning the Model |
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Jose Pena
, Roland Nilsson
, Johan Björkegren
, Jesper Tegnér
|
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Incremental Model-based Learners With Formal Learning-Time Guarantees |
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Alexander Strehl
, Lihong Li
, Michael Littman
|
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Inequality Constraints in Causal Models with Hidden Variables |
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Changsung Kang
, Jin Tian
|
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Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians |
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Prakash Shenoy
|
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Infinite Hidden Relational Models |
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Zhao Xu
, Volker Tresp
, Kai Yu
, Hans-Peter Kriegel
|
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Linear Algebra Approach to Separable Bayesian Networks |
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Chalee Asavathiratham
|
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MAIES: A Tool for DNA Mixture Analysis |
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Robert Cowell
, Steffen Lauritzen
, Julia Mortera
|
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Matrix Tile Analysis |
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Inmar Givoni
, Vincent Cheung
, Brendan Frey
|
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MCMC for doubly-intractable distributions |
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Iain Murray
, Zoubin Ghahramani
, David MacKay
|
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Methods for computing state similarity in Markov Decision Processes |
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Norman Ferns
, Pablo Castro
, Doina Precup
, Prakash Panangaden
|
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Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models |
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Chris Bartels
, Jeff Bilmes
|
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On the Number of Samples Needed to Learn the Correct Structure of a Bayesian Network |
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Or Zuk
, Shiri Margel
, Eytan Domany
|
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On the Robustness of Most Probable Explanations |
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Hei Chan
, Adnan Darwiche
|
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Optimal Coordinated Planning Amongst Self-Interested Agents with Private State |
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Ruggiero Cavallo
, David Parkes
, Satinder Singh
|
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Pearl's Calculus of Intervention Is Complete |
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Yimin Huang
, Marco Valtorta
|
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Practical Linear Value-approximation Techniques for First-order MDPs |
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Scott Sanner
, Craig Boutilier
|
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Predicting Conditional Quantiles via Reduction to Classification |
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John Langford
, Roberto Oliveira
, Bianca Zadrozny
|
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Propagation of Delays in the National Airspace System |
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Kathryn Laskey
, Ning Xu
, Chun-Hung Chen
|
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Ranking by Dependence - A Fair Criteria |
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Harald Steck
|
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Reasoning about Uncertainty in Metric Spaces |
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Seunghwan Lee
|
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Recognizing Activities and Spatial Context Using Wearable Sensors |
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Amarnag Subramanya
, Alvin Raj
, Jeff Bilmes
, Dieter Fox
|
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Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing |
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Gal Elidan
, Ian McGraw
, Daphne Koller
|
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Robust Learning Equilibrium |
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Itai Ashlagi
, Dov Monderer
, Moshe Tennenholtz
|
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Sensitivity Analysis for Threshold Decision Making with Dynamic Networks |
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Theodore Charitos
, Linda van der Gaag
|
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Sequential Document Representations and Simplicial Curves |
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Guy Lebanon
|
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Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems |
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Wim Wiegerinck
, Bart van den Broek
, Hilbert Kappen
|
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Stratified Analysis of `Probabilities of Causation' |
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Manabu Kuroki
, Zhihong Cai
|
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Structured Priors for Structure Learning |
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Vikash Mansinghka
, Charles Kemp
, Thomas Griffiths
, Joshua Tenenbaum
|
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The AI&M Procedure for Learning from Incomplete Data |
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Manfred Jaeger
|
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Variable noise and dimensionality reduction for sparse Gaussian processes |
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Edward Snelson
, Zoubin Ghahramani
|
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Visualization of Collaborative Data |
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Guobiao Mei
, Christian Shelton
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