[UAI] UAI'02: 2nd call for participation

From: UAI'02 Program Chairs (uai02-pchairs@cs.ucla.edu)
Date: Fri Jun 28 2002 - 11:43:17 PDT

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    **********************************************************************
                  18th Conference on Uncertainty in AI
                               UAI-2002
                     Second Call for Participation

                           August 1-4, 2002
                     http://www.cs.ucla.edu/~uai02

    **********************************************************************

    Since 1985, the Conference on Uncertainty in Artificial Intelligence
    (UAI) has been the primary international forum for presenting new
    results on the use of principled methods for reasoning under
    uncertainty within intelligent systems. The scope of UAI is wide,
    including, but not limited to, representation, automated reasoning,
    learning, decision making and knowledge acquisition under
    uncertainty.

    The 18th Conference on Uncertainty in Artificial Intelligence will be
    held in August, 2002 at the University of Alberta, Edmonton, Canada.
    The main technical session will be on August 2-4, and will be preceded
    with a tutorial program on August 1st. The UAI-2002 venue is in close
    proximity to several other conferences, including KDD (July 23-25),
    AAAI (July 28 - August 1), and ISMB (August 3-7).

    For detailed information about the technical program, schedule, online
    registration and accommodations please go to the conference web site at
    http://www.cs.ucla.edu/~uai02

    Conference Program
    ******************

    The main technical program at UAI-2002 will be from Friday Aug. 2nd
    until Sunday Aug. 4th. It will include 66 technical papers that were
    selected after a peer-review process. Of these 26 will be given as
    plenary presentations, and 40 as poster presentations. The full
    program is attached below.

    Invited Talks
    *************

    The following invited speakers will be giving talks at UAI-2002:

    * The Problem of Thinking too Much
      Persi Diaconis, Stanford University (Banquet speaker)

    * Using Statistical Models of Shape in Medical Image Analysis
      Eric Grimson, MIT

    * Advances in Boosting
      Rob Schapire, AT&T

    * Particle Filters in Robotics
      Sebastian Thrun, CMU

    * Decision-Principles to Justify Carnap's Updating Method and
      to Suggest Corrections of Probability Judgments
      Peter P. Wakker, Maastricht University

    Awards
    ******

    We are happy to announce the following paper awards.

    Winner of the Best Paper Award:

    * A New Class of Upper Bounds on the Log Partition Function
      Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky

    Winner of the Best Student Paper Award:

    * Generalized Instrumental Variables
      Carlos Brito, Judea Pearl

    Tutorials
    *********

    The conference will be preceded by a day of advanced tutorials on
    Thursday Aug. 1st. This year we have four tutorials:

    * Markov Decision Processes
      Craig Boutilier, University of Toronto

    * Statistical Methods in Natural Language Processing
      Michael Collins, AT&T

    * Randomization and Rational Decision Making in Optimization
      Bart Selman & Carla Gomes, Cornell

    * Bayesian Networks for Genetic Linkage Analysis
      Dan Geiger, Technion

    Registration
    ************

    To register online please go to

      http://www.cs.ucla.edu/~uai02/

    and select the "Registration" option.

    At the conference web site you can find additional information on the
    conference location and accommodations.

    Note: We cannot guaranty banquet seat for late registration after July
    20th.

    Conference Organization
    ***********************

    Please direct general inquiries to the General Conference Chair at
    koller@cs.stanford.edu. Inquiries about the conference program should
    be directed to the Program Co-Chairs at uai02-pchairs@cs.ucla.edu.

    General Program Chair:

    * Daphne Koller, Stanford. koller@cs.stanford.edu

    Program Co-Chairs:

    * Adnan Darwiche, UCLA. darwiche@cs.ucla.edu

    * Nir Friedman, Hebrew University. nir@cs.huji.ac.il

    Conference Schedule
    ********************

    Thursday, August 1st: Tutorials

     8:30 Statistical Methods in Natural Language Processing
          Michael Collins, AT&T
    10:10 Break
    10:30 Markov Decision Processes
          Craig Boutilier, University of Toronto
    12:10 Lunch Break
     1:50 Randomization and Rational Decision Making in Optimization
          Carla Gomes, Bart Selman, Cornell
     3:30 Break
     3:50 Bayesian Networks for Genetic Linkage Analysis
          Dan Geiger, Technion
     5:30 Adjourn
     6:00 Reception (Faculty Club)

    Friday, August 2nd

     8:30 Welcome
     8:50 Session: Approximate Inference

          A New Class of Upper Bounds on the Log Partition Function
          (Best Paper Award)
          Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky

          Iterative Join-Graph Propagation
          Rina Dechter, Kalev Kask, Robert Mateescu

          MAP Complexity Results and Approximation Methods
          James D. Park

          Expectation-Propagation for the Generative Aspect Model
          Thomas Minka, John Lafferty

    10:30 Break
    11:00 Invited Talk

          Particle Filters in Robotics
          Sebastian Thrun, CMU

    12:00 Lunch Break
     1:45 Session: Applications

          Utility-Directed Pursuit of Preferences in Recommender Systems:
          Methods and Experiments
          Eric Horvitz, Carl Kadie

          Adaptive Foreground and Shadow Detection in Image Sequences
          Yang Wang, Tele Tan

          Monitoring a Complex Physical System using a Hybrid Dynamic
          Bayes Net

          Uri Lerner, Brooks Moses, Maricia Scott, Sheila McIlraith,
          Daphne Koller

     3:00 Poster Highlights
     3:40 Poster Session I
     7:30 Conference Banquet (Fairmont Hotel Macdonald)
          Banquet Talk

          The Problem of Thinking too Much
          Persi Diaconis, Stanford University

    Saturday, August 3rd

     8:30 Invited Talk

          Using Statistical Models of Shape in Medical Image Analysis
          Eric Grimson, MIT

     9:30 Session: Learning: Text & Web

          Discriminative Probabilistic Models for Relational Data
          Ben Taskar, Pieter Abbeel, Daphne Koller

          Learning with Scope, with Application to Information Extraction
          and Classification
          David M. Blei, James A. Bagnell, Andrew K. McCallum

    10:20 Break
    10:50 Session: Temporal Models

          Continuous Time Bayesian Networks
          Uri Nodelman, Christian R. Shelton, Daphne Koller

          Expectation Propagation for Approximate Inference in Dynamic
          Bayesian Networks
          Tom Heskes, Onno Zoeter

          Decayed MCMC Filtering
          Bhaskara Marthi, Hanna Pasula, Stuart Russell, Yuval Peres

          Reduction of Maximum Entropy Models to Hidden Markov Models
          Joshua Goodman

    12:30 Lunch Break

     2:00 Session: Multi-agents

          Mechanism Design with Execution Uncertainty
          Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz

          Efficient Nash Computation in Large Population Games with
          Bounded Influence
          Michael Kearns, Yishay Mansour

     2:50 Poster Highlights
     3:30 Poster Session II

     5:30 Business Meeting

    Sunday, August 4th

     8:30 Invited Talk

          Decision-Principles to Justify Carnap's Updating Method and to
          Suggest Corrections of Probability Judgments
          Peter P. Wakker, Maastricht University

     9:30 Session: Foundations

          Generalized Instrumental Variables (Best Student Paper Award)
          Carlos Brito, Judea Pearl

          Updating Probabilities
          Peter D. Grunwald, Joseph Y. Halpern

    10:20 Break
    10:50 Session: Planning/MDPs

          Unconstrained Influence Diagrams
          Finn V. Jensen, Marta Vomlelova

          Inductive Policy Selection for First-Order Markov Decision
          Processes
          SungWook Yoon, Alan Fern, Robert Givan

          Anytime State-Based Solution Methods for Decision Processes with
          non-Markovian Rewards
          Sylvie Thiebaux, Froduald Kabanza, John Slaney

          Planning Under Continuous Time and Resource Uncertainty: A
          Challenge for AI
          John Bresina, Richard Dearden, Nicolas Meuleau, Sailesh
          Ramakrishnan, David Smith, Rich Washington

    12:30 Lunch Break
     2:00 Session: Latent Variables

          Bayesian Model Selection for Naive Bayes Networks
          Dmitry Rusakov, Dan Geiger

          On the Testable Implications of Causal Models with Hidden
    Variables
          Jin Tian, Judea Pearl

     2:50 Invited Talk

          Advances in Boosting
          Rob Schapire, AT&T

    3:50 Break
    4:15 Session: Learning

          Continuation Methods for Mixing Heterogeneous Sources
          Adrian Corduneanu, Tommi S. Jaakkola

          An Information-Theoretic External Cluster-Validity Measure
          Byron E. Dom

          Tree-dependent Component Analysis
          Francis R. Bach, Michael I. Jordan

    5:30 Adjourn

    Poster Session I (Friday, August 2nd, 3:40)

          Learning Hierarchical Object Maps Of Non-Stationary Environments
          With Mobile Robots
          Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson
          Limketkai, Sebastian Thrun

          Qualitative MDPs and POMDPs: An Order-of-Magnitude Approximation
          Blai Bonet, Judea Pearl

          Complexity of Mechanism Design
          Vincent Conitzer, Tuomas Sandholm

          Introducing Variable Importance Tradeoffs into CP-Nets
          Carmel Domshlak, Ronen I. Brafman

          Causes and Explanations in the Structural-Model Approach:
          Tractable Cases
          Thomas Eiter, Thomas Lukasiewicz

          The Thing That We Tried Didn't Work Very Well: Deictic
          Representation in Reinforcement Learning
          Natalia H. Gardiol, Sarah Finney, Leslie Kaelbling, Tim Oates

          Distributed Planning in Hierarchical Factored MDPs
          Carlos Guestrin, Geoffrey Gordon

          CFW: A Collaborative Filtering System Using Posteriors Over
          Weights of Evidence
          Carl M. Kadie, Christopher Meek, David Heckerman

          A Bayesian Network Scoring Metric That Is Based on Globally
          Uniform Parameter Priors
          Mehmet Kayaalp, Greg F. Cooper

          Almost-everywhere Algorithmic Stability And Generalization Error
          Samuel Kutin, Partha Niyogi

          Value Function Approximation in Zero-Sum Markov Games
          Michail G. Lagoudakis, Ronald Parr

          Polynomial Value Iteration Algorithms for Deterministic MDPs
          Omid Madani

          Staged Mixture Modeling and Boosting
          Christopher Meek, Bo Thiesson, David Heckerman

          Optimal Time Bounds for Approximate Clustering
          Ramgopal R. Mettu, Greg C. Plaxton

          Real-valued All-Dimensions search: Low -overhead rapid searching
          over subsets of attributes
          Andrew W. Moore, Jeff Schneider

          Factored Particles for Scalable Monitoring
          Brenda Ng, Leonid Peshkin, Avi Pfeffer

          Reinforcement Learning with Partially Known World Dynamics
          Christian R. Shelton

          Unsupervised Active Learning in Large Domains
          Harald Steck, Tommi S. Jaakkola

          Real-Time Inference with Large-Scale Temporal Bayes Nets
          Masami Takikawa, Bruce D'Ambrosio, Ed Wright

          Loopy Belief Propagation and Gibbs Measures
          Sekhar Tatikonda, Michael I. Jordan

    Poster Session II (Saturday, August 3nd, 3:30)

          Markov Equivalence Classes for Maximal Ancestral Graphs
          Ayesha Ali, Thomas Richardson

          A Constraint Satisfaction Approach to the Robust Spanning Tree
          with Interval Data
          Ionut Aron, Pascal Van Hentenryck

          On the Construction of the Inclusion Boundary Neighbourhood for
          Markov Equivalence Classes of Bayesian Network Structures
          Vincent Auvray, Louis Wehenkel

          Bipolar Possibilistic Representations
          Salem Benferhat, Didier Dubois, Souhila Kaci, Henri Prade

          Finding Optimal Bayesian Networks
          Max Chickering, Christopher Meek

          Interpolating Conditional Density Trees
          Scott Davies, Andrew Moore

          Factorization of Discrete Probability Distributions
          Dan Geiger, Christopher Meek, Bernd Sturmfels

          Statistical Decisions Using Likelihood Information Without Prior
          Probabilities
          Phan H. Giang, Prakash P. Shenoy

          Reasoning About Expectation
          Joseph Y. Halpern, Riccardo Pucella

          Dimension Correction for Hierarchical Latent Class Models
          Tomas Kocka, Nevin L. Zhang

          General Lower Bounds based on Computer Generated Higher Order
          Expansions
          Martijn A.R. Leisink, Hilbert J. Kappen

          Formalizing Scenario Analysis
          Peter McBurney, Simon Parson

          Bayesian Network Classifiers in a High Dimensional Framework
          Tatjana Pavlenko, Dietrich von Rosen

          Modeling Information Incorporation in Markets, with Application
          to Detecting and Explaining Events
          David M. Pennock, Sandip Debnath, Eric J. Glover, C. Lee Giles

          From Qualitative to Quantitative Probabilistic Networks
          Silja Renooij, Linda C. van der Gaag

          Inference with Separately Specified Sets of Probabilities in
          Credal Networks
          Jose Carlos Ferreira da Rocha, Fabio Gagliardi Cozman

          An MDP-Based Recommender System
          Guy Shani, Ronen Brafman, David Heckerman

          Exploiting Functional Dependence in Bayesian Network Inference
          Jirka Vomlel

          IPF for Discrete Chain Factor Graphs
          Wim Wiegerinck, Tom Heskes

          Robust Feature Selection by Mutual Information Distributions
          Marco Zaffalon, Marcus Hutter

    ====================================================



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