Accepted papers
 

  1. A BAYESIAN PROBABILITY CALCULUS FOR DENSITY MATRICES

    Manfred Warmuth and Dima Kuzmin

  2. A COMPACT, HIERARCHICAL Q-FUNCTION DECOMPOSITION

    Bhaskara Marthi, Stuart Russell and David Andre

  3. A CONCENTRATION THEOREM FOR PROJECTIONS

    Sanjoy Dasgupta, Daniel Hsu and Nakul Verma

  4. A NEW AXIOMATIZATION FOR LIKELIHOOD GAMBLES

    Phan Giang

  5. A NON-PARAMETRIC BAYESIAN METHOD FOR INFERRING HIDDEN CAUSES

    Frank Wood, Thomas L. Griffiths and Zoubin Ghahramani

  6. A SELF-SUPERVISED TERRAIN ROUGHNESS ESTIMATOR FOR OFF-ROAD AUTONOMOUS DRIVING

    David Stavens and Sebastian Thrun

  7. A SIMPLE APPROACH FOR FINDING THE GLOBALLY OPTIMAL BAYESIAN NETWORK STRUCTURE

    Tomi Silander and Petri Myllymäki

  8. A THEORETICAL STUDY OF Y STRUCTURES FOR CAUSAL DISCOVERY

    Subramani Mani, Gregory Cooper and Peter Spirtes

  9. A VARIATIONAL APPROACH FOR APPROXIMATING BAYESIAN NETWORKS BY EDGE DELETION

    Arthur Choi and Adnan Darwiche

  10. ADJACENCY-FAITHFULNESS AND CONSERVATIVE CAUSAL INFERENCE

    Joseph Ramsey, Jiji Zhang and Peter Spirtes

  11. ADVANCES IN EXACT BAYESIAN STRUCTURE DISCOVERY IN BAYESIAN NETWORKS

    Mikko Koivisto

  12. AN EFFICIENT OPTIMAL-EQUILIBRIUM ALGORITHM FOR TWO-PLAYER GAME TREES

    Michael Littman, Nishkam Ravi, Arjun Talwar and Martin Zinkevich

  13. AN EFFICIENT TRIPLET-BASED ALGORITHM FOR EVIDENTIAL REASONING

    Yaxin Bi and Jiwen Guan

  14. AN EMPIRICAL COMPARISON OF ALGORITHMS FOR AGGREGATING EXPERT PREDICTIONS

    Varsha Dani, Omid Madani, David Pennock, Sumit Sanghai and Brian Galebach

  15. APPROXIMATE SEPARABILITY FOR WEAK INTERACTION IN DYNAMIC SYSTEMS

    Avi Pfeffer

  16. ASYMMETRIC SEPARATION FOR LOCAL INDEPENDENCE GRAPHS

    Vanessa Didelez

  17. AXIOMATIC FOUNDATIONS FOR A CLASS OF GENERALIZED EXPECTED UTILITY: ALGEBRAIC EXPECTED UTILITY

    Paul Weng

  18. BAYESIAN INFERENCE FOR GAUSSIAN MIXED GRAPH MODELS

    Ricardo Silva and Zoubin Ghahramani

  19. BAYESIAN MULTICATEGORY SUPPORT VECTOR MACHINES

    Zhihua Zhang and Michael I. Jordan

  20. BAYESIAN RANDOM FIELDS: THE BETHE-LAPLACE APPROXIMATION

    Max Welling and Sridevi Parise

  21. BELIEF UPDATE IN CLG BAYESIAN NETWORKS WITH LAZY PROPAGATION

    Anders Madsen

  22. CHI-SQUARE TESTS DRIVEN METHOD FOR LEARNING THE STRUCTURE OF FACTORED MDPS

    Thomas Degris, Olivier Sigaud and Pierre-Henri Wuillemin

  23. CONTINUOUS TIME MARKOV NETWORKS

    Tal El-Hay, Nir Friedman, Daphne Koller and Raz Kupferman

  24. CONVEX STRUCTURE LEARNING FOR BAYESIAN NETWORKS: POLYNOMIAL FEATURE SELECTION AND APPROXIMATE ORDERING

    Yuhong Guo and Dale Schuurmans

  25. CUTSET SAMPLING WITH LIKELIHOOD WEIGHTING

    Bozhena Bidyuk and Rina Dechter

  26. DIMENSION REDUCTION IN SINGULARLY PERTURBED CONTINUOUS-TIME BAYESIAN NETWORKS

    Nir Friedman and Raz Kupferman

  27. DIRECT AND INDIRECT EFFECTS OF SEQUENTIAL TREATMENTS

    Vanessa Didelez, A. Philip Dawid and Sara Geneletti

  28. DISCRIMINATIVE LEARNING VIA SEMIDEFINITE PROBABILISTIC MODELS

    Koby Crammer and Amir Globerson

  29. EFFICIENT SELECTION OF DISAMBIGUATING ACTIONS FOR STEREO VISION

    Monika Schaeffer and Ronald Parr

  30. FASTER GAUSSIAN SUMMATION: THEORY AND EXPERIMENT

    Dongryeol Lee and Alexander Gray

  31. FITTING GRAPHICAL INTERACTION MODELS TO MULTIVARIATE TIME SERIES

    Michael Eichler

  32. FROM INFLUENCE DIAGRAMS TO MULTI-OPERATOR CLUSTER DAGS

    Cedric Pralet, Thomas Schiex and Gerard Verfaillie

  33. GENE EXPRESSION TIME COURSE CLUSTERING WITH COUNTABLY INFINITE HIDDEN MARKOV MODELS

    Matthew Beal and Praveen Krishnamurthy

  34. GENERAL-PURPOSE MCMC INFERENCE OVER RELATIONAL STRUCTURES

    Brian Milch and Stuart Russell

  35. GIBBS SAMPLING FOR (COUPLED) INFINITE MIXTURE MODELS IN THE STICK BREAKING REPRESENTATION

    Ian Porteous, Alex Ihler, Padhriac Smyth and Max Welling

  36. GRAPHICAL CONDITION FOR IDENTIFICATION IN RECURSIVE SEM

    Carlos Brito and Judea Pearl

  37. IDENTIFICATION OF CONDITIONAL INTERVENTIONAL DISTRIBUTIONS

    Ilya Shpitser and Judea Pearl

  38. IDENTIFYING THE RELEVANT NODES WITHOUT LEARNING THE MODEL

    Jose M. Peña, Roland Nilsson, Johan Björkegren and Jesper Tegnér

  39. INCREMENTAL MODEL-BASED LEARNERS WITH FORMAL LEARNING-TIME GUARANTEES

    Alexander L. Strehl, Lihong Li and Michael L. Littman

  40. INEQUALITY CONSTRAINTS IN CAUSAL MODELS WITH HIDDEN VARIABLES

    Changsung Kang and Jin Tian

  41. INFERENCE IN HYBRID BAYESIAN NETWORKS USING MIXTURES OF GAUSSIANS

    Prakash Shenoy

  42. INFINITE HIDDEN RELATIONAL MODELS

    Zhao Xu, Volker Tresp, Kai Yu and Hans-Peter Kriegel

  43. LINEAR ALGEBRA APPROACH TO SEPARABLE BAYESIAN NETWORKS

    Chalee Asavathiratham

  44. MAIES: A TOOL FOR DNA MIXTURE ANALYSIS

    Robert Cowell, Steffen Lauritzen and Julia Mortera

  45. MATRIX TILE ANALYSIS

    Inmar Givoni, Vincent Cheung and Brendan Frey

  46. MCMC FOR DOUBLY-INTRACTABLE DISTRIBUTIONS

    Iain Murray, Zoubin Ghahramani and David MacKay

  47. METHODS FOR COMPUTING STATE SIMILARITY IN MARKOV DECISION PROCESSES

    Norman Francis Ferns, Pablo Samuel Castro, Doina Precup and Prakash Panangaden

  48. NON-MINIMAL TRIANGULATIONS FOR MIXED STOCHASTIC/DETERMINISTIC GRAPHICAL MODELS

    Chris Bartels and Jeff Bilmes

  49. ON THE NUMBER OF SAMPLES NEEDED TO LEARN THE CORRECT STRUCTURE OF A BAYESIAN NETWORK

    Or Zuk, Shiri Margel and Eytan Domany

  50. ON THE ROBUSTNESS OF MOST PROBABLE EXPLANATIONS

    Hei Chan and Adnan Darwiche

  51. OPTIMAL COORDINATED PLANNING AMONGST SELF-INTERESTED AGENTS WITH PRIVATE STATE

    Ruggiero Cavallo, David Parkes and Satinder Singh

  52. PEARL'S CALCULUS OF INTERVENTION IS COMPLETE

    Yimin Huang and Marco Valtorta

  53. PRACTICAL LINEAR VALUE-APPROXIMATION TECHNIQUES FOR FIRST-ORDER MDPS

    Scott Sanner and Craig Boutilier

  54. PREDICTING CONDITIONAL QUANTILES VIA REDUCTION TO CLASSIFICATION

    John Langford, Roberto Oliveira and Bianca Zadrozny

  55. PROPAGATION OF DELAYS IN THE NATIONAL AIRSPACE SYSTEM

    Kathryn Laskey, Ning Xu and Chun-Hung Chen

  56. RANKING BY DEPENDENCE--A FAIR CRITERIA

    Harald Steck

  57. REASONING ABOUT UNCERTAINTY IN METRIC SPACES

    Seunghwan Lee

  58. RECOGNIZING ACTIVITIES AND SPATIAL CONTEXT USING WEARABLE SENSORS

    Amarnag Subramanya, Alvin Raj, Jeff Bilmes and Dieter Fox

  59. RESIDUAL BELIEF PROPAGATION: INFORMED SCHEDULING FOR ASYNCHRONOUS MESSAGE PASSING

    Gal Elidan, Ian McGraw and Daphne Koller

  60. ROBUST LEARNING EQUILIBRIUM

    Itai Ashlagi, Dov Monderer and Moshe Tennenholtz

  61. SENSITIVITY ANALYSIS FOR THRESHOLD DECISION MAKING WITH DYNAMIC NETWORKS

    Theodore Charitos and Linda C. van der Gaag

  62. SEQUENTIAL DOCUMENT REPRESENTATIONS AND SIMPLICIAL CURVES

    Guy Lebanon

  63. STOCHASTIC OPTIMAL CONTROL IN CONTINUOUS SPACE-TIME MULTI-AGENT SYSTEMS

    Wim Wiegerinck, Bart van den Broek and Bert Kappen

  64. STRATIFIED ANALYSIS OF "PROBABILITIES OF CAUSATION"

    Manabu Kuroki and Zhihong Cai

  65. STRUCTURED PRIORS FOR STRUCTURE LEARNING

    Vikash Mansinghka, Charles Kemp, Thomas Griffiths and Joshua Tenenbaum

  66. THE AI&M PROCEDURE FOR LEARNING FROM INCOMPLETE DATA

    Manfred Jaeger

  67. VARIABLE NOISE AND DIMENSIONALITY REDUCTION FOR SPARSE GAUSSIAN PROCESSES

    Edward Snelson and Zoubin Ghahramani

  68. VISUALIZATION OF COLLABORATIVE DATA

    Guobiao Mei and Christian Shelton