UAI-96 program and registration information
Eric Horvitz
horvitz at MICROSOFT.com
Tue Jun 18 20:48:43 EDT 1996
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P R O G R A M A N D R E G I S T R A T I O N
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** U A I 96 **
THE TWELFTH ANNUAL CONFERENCE ON
UNCERTAINTY IN ARTIFICIAL INTELLIGENCE
August 1-4, 1996
Reed College
Portland, Oregon, USA
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UAI WWW page at http://cuai-96.microsoft.com/
The effective handling of uncertainty is critical in designing,
understanding, and evaluating computational systems tasked with making
intelligent decisions. For over a decade, the Conference on
Uncertainty in Artificial Intelligence (UAI) has served as a central
meeting on advances in methods for reasoning under uncertainty in
computer-based systems. The conference serves as an annual
international forum for exchanging results on the use of principled
methods to solve difficult challenges with inference, learning and
decision making under uncertainty.
* * *
UAI 96 events include a full-day course on uncertain reasoning on the
day before the main UAI 96 conference (Wednesday, July 31) at Reed
College. Details on the course are available at:
http://cuai-96.microsoft.com/tutor.htm
* * *
On Sunday, August 4, we will hold a UAI-KDD Special Joint Session
on Learning, Probability, and Graphical Models at the
Portland Convention Center. See information on the program below.
* * *
UAI-96 will begin shortly before KDD-96
(http://www-aig.jpl.nasa.gov/kdd96/), AAAI-96
(http://www.aaai.org/Conferences/National/1996/aaai96.html), and the
AAAI workshops, and will be in close proximity to these meetings.
* * *
Refer to the UAI-96 WWW home page for late-breaking information:
http://cuai-96.microsoft.com/
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** UAI-96 Conference Program **
==========================================================
** Wednesday, July 31, 1996 **
Conference and Course Registration 8:00-8:30am
Full-Day Course on Uncertain Reasoning 8:35-5:30pm
(See: http://cuai-96.microsoft.com/ for course details)
==========================================================
** Thursday, August 1, 1996 **
Plenary Session I: Perspectives on Inference
8:45-10:15am
Toward a Market Model for Bayesian Inference
D. Pennock and M. Wellman
A unifying framework for several probabilistic inference algorithms
R. Dechter
Computing upper and lower bounds on likelihoods in intractable networks
T. Jaakkola and M. Jordan (Outstanding Student Paper Award)
Query DAGs: A practical paradigm for implementing belief-network
inference
A. Darwiche and G. Provan
Break 10:15-10:30am
Plenary Session II: Applications of Uncertain Reasoning
10:30-12:00am
MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat
A. Jensen and F. Jensen
Optimal Factory Scheduling under Uncertainty using Stochastic
Dominance A*
P. Wurman and M. Wellman
Supply Restoration in Power Distribution Systems --- A Case Study in
Integrating Model-Based Diagnosis and Repair Planning
S. Thiebaux, M. Cordier, O. Jehl, J. Krivine
Network Engineering for Complex Belief Networks
S. Mahoney and K. Laskey
* Panel Discussion: "Reports from the front: Real-world experiences
with uncertain reasoning systems" 12:00-12:45pm
Moderator: Bruce D'Ambrosio
Lunch 12:45-2:00pm
Plenary Session III: Representation and Independence
2:00-3:40pm
Context-Specific Independence in Bayesian Networks
C. Boutilier, N. Friedman, M. Goldszmidt, D. Koller
Binary Join Trees
P. Shenoy
Why is diagnosis using belief networks insensitive to imprecision in
probabilities?
M. Henrion, M. Pradhan, K. Huang, B. del Favero, G. Provan, P. O'Rorke
On separation criterion and recovery algorithm for chain graphs
Milan Studeny
Poster Session I: Overview Presentations
3:40-4:00pm
Poster Session I
4:00-6:00pm
Inference Using Message Propagation and Topology Transformation in
Vector Gaussian Continuous Networks
S. Alag and A. Agogino
Constraining Influence Diagram Structure by Generative Planning: An
Application to the Optimization of Oil Spill Response
J. Agosta
An Alternative Markov Property for Chain Graphs
S. Andersson, D. Madigan, and M. Perlman
Object Recognition with Imperfect Perception and Redundant Description
C. Barrouil and J. Lemaire
A Sufficiently Fast Algorithm for Finding Close to Optimal Junction
Trees
A. Becker and D. Geiger
Efficient Approximations for the Marginal Likelihood of Incomplete
Data Given a Bayesian Network
D. Chickering and D. Heckerman
Independence with Lower and Upper Probabilities
L. Chrisman
Topological Parameters for Time-Space Tradeoff
R. Dechter
A Qualitative Markov Assumption and its Implications for Belief Change
N. Friedman and J. Halpern
A Probabilistic Model for Sensor Validation
P. Ibarguengoytia and L. Sucar
Bayesian Learning of Loglinear Models for Neural Connectivity
K. Laskey and L. Martignon
Geometric Implications of the Naive Bayes Assumption
M. Peot
Optimal Monte Carlo Estimation of Belief Network Inference
M. Pradhan and P. Dagum
On Coarsening and Feedback
K. Reiser and Y. Chen
A Discovery Algorithm for Directed Cyclic Graphs
Thomas Richardson
Efficient Enumeration of Instantiations in Bayesian Networks
S. Srinivas and P. Nayak
UAI-96 Meeting on Bayes Net Interchange Format 7:30-9:30pm
(More information: http://cuai-96.microsoft.com/bnif.htm)
==========================================================
** Friday, August 2, 1996
Plenary Session IV: Time, Persistence, and Causality
8:45-10:15am
A Structurally and Temporally Extended Bayesian Belief Network Model:
Definitions, Properties, and Modelling Techniques
C. Aliferis and G. Cooper
Identifying independencies in causal graphs with feedback
J. Pearl and R. Dechter
Topics in Decision-Theoretic Troubleshooting: Repair and Experiment
J. Breese and D. Heckerman
A Polynomial-Time Algorithm for Deciding Equivalence of
Directed Cyclic Graphical Models
T. Richardson (Outstanding Student Paper Award)
Break 10:15-10:30am
Plenary Session V: Planning and Action under Uncertainty
10:30-12:00pm
A Measure of Decision Flexibility
R. Shachter and M. Mandelbaum
A Graph-Theoretic Analysis of Information Value
K. Poh and E. Horvitz
Sound Abstraction of Probabilistic Actions in The Constraint Mass
Assignment Framework
A. Doan and P.Haddawy
Flexible Policy Construction by Information Refinement
M. Horsch and D. Poole
* Panel Discussion: "Automated construction of models: Why, How, When?"
12:00-12:45pm
Moderator: Daphne Koller
Lunch 12:45-2:00pm
Plenary Session VI: Qualitative Reasoning and Abstraction of Probability
2:00-3:30pm
Generalized Qualitative Probability
D. Lehmann
Uncertain Inferences and Uncertain Conclusions
H. Kyburg, Jr.
Arguing for Decisions: A Qualitative Model of Decision Making
B. Bonet and H. Geffner
Defining Relative Likelihood in Partially Ordered Preferential
Structures
J. Halpern
Poster Session II: Overview Presentations
3:40-4:00pm
Poster Session II
4:00-6:00pm
An Algorithm for Finding Minimum d-Separating Sets in Belief Networks
S. Acid and L. de Campos
Plan Development using Local Probabilistic Models
E. Atkins, E. Durfee, K. Shin
Entailment in Probability of Thresholded Generalizations
D. Bamber
Coping with the Limitations of Rational Inference in the Framework of
Possibility Theory
S. Benferhat, D. Dubois, H. Prade
Decision-Analytic Approaches to Operational Decision Making:
Application and Observation
T. Chavez
Learning Equivalence Classes of Bayesian Network Structures
D. Chickering
Propagation of 2-Monotone Lower Probabilities on an Undirected Graph
L. Chrisman
Quasi-Bayesian Strategies for Efficient Plan Generation:
Application to the Planning to Observe Problem
F. Cozman and E. Krotkov
Some Experiments with Real-Time Decision Algorithms
B. D'Ambrosio and S. Burgess
An Evaluation of Structural Parameters for Probabilistic Reasoning:
Results on Benchmark Circuits
Y. El Fattah and R. Dechter
Learning Bayesian Networks with Local Structure
N. Friedman M. Goldszmidt
Theoretical Foundations for Abstraction-Based Probabilistic Planning
V. Ha and P. Haddawy
Probabilistic Disjunctive Logic Programming
L. Ngo
A Framework for Decision-Theoretic Planning I: Combining the Situation
Calculus, Conditional Plans, Probability and Utility
D. Poole
Coherent Knowledge Processing at Maximum Entropy by SPIRIT
W. Roedder and C. Meyer
Real-Time Estimation of Bayesian Networks
R. Welch
Testing Implication of Probabilistic Dependencies
S.K.M. Wong
UAI-96 Banquet and Invited Talk
7:30-9:30pm
=========================================================
** Saturday, August 3, 1996 **
Plenary Session VII: Developments in Belief and Possibility
8:45-10:00am
Belief Revision in the Possibilistic Setting with Uncertain Inputs
D. Dubois and H. Prade
Approximations for Decision Making in the Dempster-Shafer Theory of
Evidence
M. Bauer
Possible World Partition Sequences: A Unifying Framework for Uncertain
Reasoning
C. Teng
Break 10:00-10:15am
Plenary Session VIII: Learning and Uncertainty
10:15-11:45pm
Asymptotic model selection for directed networks with hidden variables
D. Geiger, D. Heckerman, C. Meek
On the Sample Complexity of Learning Bayesian Networks
N. Friedman and Z. Yakhini
Learning Conventions in Multiagent Stochastic Domains using Likelihood
Estimates
C. Boutilier
Critical Remarks on Single Link Search in Learning Belief Networks
Y. Xiang, S.K.M Wong, N. Cercone
* Panel Discussion: "Learning and Uncertainty: The Next Steps"
11:45-12:30pm
Moderator: G. Cooper
Lunch 12:30-2:00pm
Plenary Session IX: Advances in Approximate Inference
2:00-3:45pm
Computational complexity reduction for BN2O networks using similarity
of states
A. Kozlov and J. Singh
Sample-and-Accumulate Algorithms for Belief Updating in Bayes Networks
E. Santos Jr., S. Shimony, E. Williams
Tail Simulation in Bayesian Networks
E. Castillo, C. Solares, P. Gomez
Efficient Search-Based Inference for Noisy-OR Belief Networks:
TopEpsilon
K. Huang and M. Henrion
Break 3:45-4:00pm
* Panel Discussion: "UAI by 2005: Reflections on critical problems,
directions, and likely achievements for the next decade"
4:00-5:00pm
Moderator: Eric Horvitz
Report on the Bayes Net Interchange Format Meeting
5:00-5:20
UAI Planning Meeting
5:30-6:00
================================================================
** Sunday, August 4, 1996 **
UAI-KDD Special Joint Sessions
Portland Convention Center
Selected talks on learning graphical models from the UAI and KDD
proceedings. UAI badges will be honored at the Portland Convention
Center for the joint session.
Plenary Session X: Learning, Probability, and Graphical Models I
8:30-12:00pm
KDD: Knowledge Discovery and Data Mining: Toward a Unifying Framework
U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth
UAI: Efficient Approximations for the Marginal Likelihood of
Incomplete Data Given a Bayesian Network
D. Chickering and D. Heckerman
KDD: Clustering using Monte Carlo Cross-Validation
P. Smyth
UAI: Learning Equivalence Classes of Bayesian Network Structures
D. Chickering
Break 9:45-10:05am
Plenary Session XI: Learning, Probability, and Graphical Models II
10:05-12:00pm
UAI: Learning Bayesian Networks with Local Structure
N. Friedman and M. Goldszmidt
KDD: Rethinking the Learning of Belief Network Probabilities
R. Musick
UAI: Bayesian Learning of Loglinear Models for Neural Connectivity
K. Laskey and L. Martignon
KDD: Harnessing Graphical Structure in Markov Chain Monte Carlo
Learning
P. Stolorz
================================================================
Organization:
Program Cochairs:
=================
Eric Horvitz
Microsoft Research, 9S
Redmond, WA 98052
Phone: (206) 936 2127
Fax: (206) 936 0502
Email: horvitz at microsoft.com
WWW: http://www.research.microsoft.com/research/dtg/horvitz/
Finn Jensen
Department of Mathematics and Computer Science
Aalborg University
Fredrik Bajers Vej 7,E
DK-9220 Aalborg OE
Denmark
Phone: +45 98 15 85 22 (ext. 5024)
Fax: +45 98 15 81 29
Email: fvj at iesd.auc.dk
WWW: http://www.iesd.auc.dk/cgi-bin/photofinger?fvj
General Conference Chair (General conference inquiries):
========================
Steve Hanks
Department of Computer Science and Engineering, FR-35
University of Washington
Seattle, WA 98195
Tel: (206) 543 4784
Fax: (206) 543 2969
Email: hanks at cs.washington.edu
UAI Program Committee
======================
Fahiem Bacchus, University of Waterloo, Cananda
Salem Benferhat, IRIT Universite Paul Sabatier, France
Philippe Besnard, IRISA, France
Mark Boddy, Honeywell Technology Center, USA
Piero Bonissone, General Electric Research Laboratory, USA
Craig Boutilier, University of British Columbia, Canada
Jack Breese, Microsoft Research, USA
Wray Buntine, Thinkbank, USA
Luis M. de Campos, Universidad de Granada, Spain
Enrique Castillo, Universidad de Cantabria, Spain
Eugene Charniak, Brown University, USA
Greg Cooper, University of Pittsburgh, USA
Bruce D'Ambrosio, Oregon State University, USA
Paul Dagum, Stanford University, USA
Adnan Darwiche, Rockwell Science Center, USA
Tom Dean, Brown University, USA
Denise Draper, University of Washington, USA
Marek Druzdzel, University of Pittsburgh, USA
Didier Dubois, IRIT Universite Paul Sabatier, France
Ward Edwards, University of Southern California, USA
Kazuo Ezawa, AT&T Labs, USA
Nir Friedman, Stanford University, USA
Robert Fung, Prevision, USA
Linda van der Gaag, Utrecht University, Netherlands
Hector Geffner, Universidad Simon Bolivar, Venezuela
Dan Geiger, Technion, Israel
Lluis Godo, Campus Universitat Autonoma Barcelona, Spain
Robert Goldman, Honeywell Technology Center, USA
Moises Goldszmidt, SRI International, USA
Adam Grove, NEC Research Institute, USA
Peter Haddawy, University of Wisconsin-Milwaukee, USA
Petr Hajek, Academy of Sciences, Czech Republic
Joseph Halpern, IBM Almaden Research Center, USA
Steve Hanks, University of Washington, USA
Othar Hansson, Thinkbank, USA
Peter Hart, Ricoh California Research Center, USA
David Heckerman, Microsoft Research, USA
Max Henrion, Lumina, USA
Frank Jensen, Hugin Expert A/S, Denmark
Michael Jordan, MIT, USA
Leslie Pack Kaelbling, Brown University, USA
Uffe Kjaerulff, Aalborg University, Denmark
Daphne Koller, Stanford University, USA
Paul Krause, Imperial Cancer Research Fund, UK
Rudolf Kruse, University of Braunschweig, Germany
Henry Kyburg, University of Rochester, USA
Jerome Lang, IRIT Universite Paul Sabatier, France
Kathryn Laskey, George Mason University, USA
Paul Lehner, George Mason University, USA
John Lemmer, Rome Laboratory, USA
Tod Levitt, IET, USA
Ramon Lopez de Mantaras, Spanish Scientific Research Council, Spain
David Madigan, University of Washington, USA
Christopher Meek, Carnegie Mellon University, USA
Serafin Moral, Universidad de Granada, Spain
Eric Neufeld, University of Saskatchewan, Canada
Ann Nicholson, Monash University, Australia
Ramesh Patil, Information Sciences Institute, USC, USA
Judea Pearl, University of California, Los Angeles, USA
Kim Leng Poh, National University of Singapore
David Poole, University of British Columbia, Canada
Henri Prade, IRIT Universite Paul Sabatier, France
Greg Provan, Institute for Learning Systems, USA
Enrique Ruspini, SRI International, USA
Romano Scozzafava, Dip. Me.Mo.Mat., Rome, Italy
Ross Shachter, Stanford University, USA
Prakash Shenoy, University of Kansas, USA
Philippe Smets, IRIDIA Universite libre de Bruxelles, Belgium
David Spiegelhalter, Cambridge University, UK
Peter Spirtes, Carnegie Mellon University, USA
Milan Studeny, Academy of Sciences, Czech Republic
Sampath Srinivas, Microsoft, USA
Jaap Suermondt, Hewlett Packard Laboratories, USA
Marco Valtorta, University of South Carolina, USA
Michael Wellman, University of Michigan, USA
Nic Wilson, Oxford Brookes University, UK
Yang Xiang, University of Regina, Canada
Hong Xu, IRIDIA Universite libre de Bruxelles, Belgium
John Yen, Texas A&M University, USA
Lian Wen Zhang, Hong Kong University of Science & Technology
==============================================================
UAI-96 REGISTRATION FORM
==============================================================
Please return this form via email to hanks at cs.washington.edu or use
the web-based registration form available at the UAI-96 home page at
http://cuai-96.microsoft.com to register online.
=================================
Registrant Information
=================================
Name: __________________________________
Affiliation: ____________________________
Address: ____________________________
____________________________
____________________________
Phone: ____________________________
Email address: ____________________________
=================================
Registration information
=================================
____ Register me for the conference
Non-student $275
Student $150
Students, please supply:
Advisor's name and Email address:
_______________________________________
____ Register me for the full-day course on
uncertain reasoning (July 31)
Non-student
with conference registration $85
without conference registration $135
Student
with conference registration $35
without conference registration $50
=================================
Dormitory accomodation
=================================
Singles, doubles, and triples are available.
All include a private bedroom; doubles and
triples share a bathroom.
Rates: Single $26.50 per night
Double $21.50 per night
Triple $16.50 per night
_____________ Arrival date (earliest July 30)
_____________ Departure date (latest August 4)
I am paying for _____ people
for _____ nights
at a daily rate of _________
for a total of _________
_______________________ Sharing with (doubles and triples only)
_______________________ Sharing with (triples only)
===============================
Meal service
===============================
Conference registration includes the conference banquet on
August 2nd.
Reed college offers a package of three lunches during the
conference for a total of $24.
____________ Please register me for the lunch service
=================================
Payment Summary
=================================
$______________ Conference registration
$______________ Full-day course registration
$______________ Lodging charges
$______________ Meal charges
$______________ TOTAL AMOUNT
__________ Please charge my ____ Visa
____ MasterCard
___________________ Card Number
______________ Expiration date
_________ I will send a check via surface mail.
Address for checks:
Steve Hanks
Department of Computer Science and
Engineering
University of Washington
Box 352350
Seattle, WA 98195-2350
_________ I will pay at the conference
============================================================
For questions about arrangements and registration issues, contact
Steve Hanks (hanks at cs.washington.edu). For questions about the
program, contact Eric Horvitz (horvitz at microsoft.com) or Finn Jensen
(fvj at iesd.auc.dk).
============================================================
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