Local map and schedules of the other collocated conferences (a single, merged schedule in available in postscript): COLT | UAI | ILP (overlaps on Friday) | AAAI.
Thu 23 July
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6-10pm informal evening reception, Grainger Hall (UW Business School) courtyard
- please try to pick up your registrant packet
during this reception, to reduce the rush on Friday morning
Starting at 9:30pm, there will be live outdoor music
at the lakefront behind the Memorial Union Terrace.
(Friday and Saturday nights as well.)
Fri 24 July
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7:30-8:20 Registration in UW Business School (Grainger Hall), first-floor atrium
7:45-8:20 coffee in courtyard of Humanities Bldg
8:20-8:30 Welcome to Madison and Opening Remarks (Jude Shavlik)
8:30-9:30 joint COLT/ICML/UAI invited talk, Mills Concert Hall, Humanities Bldg
Rich Sutton, "Reinforcement Learning: How Far Can It Go?" (on-line version)
(introduced by Leslie Pack Kaelbling)
9:30-10:00 break (first floor of Grainger atrium)
10:00-11:40 Track I - Kellner, Rm 2120 Grainger
(session chair: Gerald DeJong)
Improving Text Classification by Shrinkage
in a Hierarchy of Classes [ICML-1] (postscript)
A. McCallum, R. Rosenfeld, T. Mitchell, and A. Ng
Learning Collaborative Information Filters [ICML-2] (pdf)
D. Billsus and M. Pazzani
Collaborative Filtering using Weighted Majority
Prediction Algorithms [ICML-3]
A. Nakamura and N. Abe
Learning a Language-Independent Representation for Terms
from a Partially Aligned Corpus [ICML-4] (postscript)
M. Littman, F. Jiang, and G. Keim
10:00-11:40 Track II - Nicolas, Rm 2080 Grainger
(session chair: Andrew Moore)
An Analysis of Direct Reinforcement Learning
in Non-Markovian Domains [ICML-5] (postscript)
M. Pendrith and M. McGarity
Near-Optimal Reinforcement Learning in Polynomial Time [ICML-6]
M. Kearns and S. Singh
A Learning Rate Analysis of Reinforcement Learning Algorithms
in Finite-Horizon [ICML-7] (postscript)
F. Garcia and S. Ndiaye
Multi-Criteria Reinforcement Learning [ICML-8] (postscript)
C. Szepesvari, Z. Kalmar, and Z. Gabor
11:40-1:30 lunch (on your own)
1:30-3:10 Track I - Kellner, Rm 2120 Grainger
(session chair: Sridhar Mahadevan)
Multiagent Reinforcement Learning:
Theoretical Framework and an Algorithm [ICML-9] (postscript)
J. Hu and M. Wellman
The MAXQ Method for Hierarchical
Reinforcement Learning [ICML-10] (postscript)
T. Dietterich
Intra-Option Learning about Temporally
Abstract Actions [ICML-11] (postscript)
R. Sutton, D. Precup, and S. Singh
Relational Reinforcement Learning [ICML-12] (postscript)
S. Dzeroski, H. Blockeel, and L. De Raedt
1:30-3:10 Track II - Nicolas, Rm 2080 Grainger
(session chair: David Aha)
Classification Using Phi-Machines and
Constructive Function Approximation [ICML-13] (postscript)
D. Precup and P. Utgoff
On Feature Selection: Learning with Exponentially Many
Irrelevant Features as Training Examples [ICML-14] (postscript)
A. Ng
Feature Selection via Concave Minimization
and Support Vector Machines [ICML-15] (postscript)
P. Bradley and O. Mangasarian
Refining Initial Points for
K-Means Clustering [ICML-16] (postscript)
P. Bradley and U. Fayyad
3:10-3:30 break (first floor of Grainger atrium)
3:30-5:10 Track I - Kellner, Rm 2120 Grainger
(joint session with ILP, session chair: Claude Sammut)
Learning First-Order Acyclic Horn Programs
from Entailment [ICML-17] (postscript)
C. Reddy and P. Tadepalli
Top-Down Induction of Clustering Trees [ICML-18] (postscript)
H. Blockeel, L. De Raedt, and J. Ramon
Multistrategy Learning for Information Extraction [ICML-19] (postscript)
D. Freitag
Structural Machine Learning with
Galois Lattice and Graphs [ICML-20]
M. Liquiere and J. Sallantin
3:30-5:10 Track II - Nicolas, Rm 2080 Grainger
(session chair: Sebastian Thrun)
Bayesian Network Classification with Continuous Features:
Getting the Best of Both Discretization
and Parametric Fitting [ICML-21] (postscript)
N. Friedman, M. Goldszmidt, and T. Lee
Theory Refinement of Bayesian Networks
with Hidden Variables [ICML-22] (postscript)
S. Ramachandran and R. Mooney
Using Learning for Approximation
in Stochastic Processes [ICML-23]
D. Koller and R. Fratkina
Stochastic Resonance with Adaptive Fuzzy Systems [ICML-24]
S. Mitaim and B. Kosko
5:00-7:00 public rooftop concert, Madison Convention Center
5:30-12:00 buses run between Grainger Hall (Brooks St exit, on west side)
and Madison Convention Center (4th-floor entrance)
7:00- joint COLT/ICML/ILP/UAI banquet, Madison Convention Center Ballroom
9:00-9:30 banquet speaker: David Spiegelhalter,
"2.5 Millennia of Directed Graphs"
(introduced by Steffen Lauritzen)
Sat 25 July
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7:30-8:30 Registration in Grainger Hall, first-floor atrium
7:45-8:30 coffee in courtyard of Humanities Bldg
8:30-9:30 joint COLT/ICML/UAI invited talk, Mills Concert Hall, Humanities Bldg
Stuart Russell, "Learning Agents for Uncertain Environments"
(introduced by Yishay Mansour)
9:30-10:00 break (first floor of Grainger atrium)
10:00-11:40 Track I - Kellner, Rm 2120 Grainger
(session chair: Pedro Domingos)
An Efficient Boosting Algorithm for Combining Preferences
Y. Freund, R. Iyer, R. Schapire, and Y. Singer [ICML-25] (postscript)
Bayesian Classifiers are Large Margin Hyperplanes
in a Hilbert Space [ICML-26] (postscript)
N. Cristianini, J. Shawe-Taylor, and P. Sykacek
Combining Nearest Neighbor Classifiers
through Multiple Feature Subsets [ICML-27] (postscript)
S. Bay
Local Cascade Generalization [ICML-28] (postscript)
J. Gama
10:00-11:40 Track II - Nicolas, Rm 2080 Grainger
(session chair: Foster Provost)
Heading in the Right Direction [ICML-29] (postscript)
H. Shatkay and L. Kaelbling
Well-Behaved Borgs, Bolos,
and Berserkers [ICML-30] (postscript)
D. Gordon
Learning to Locate an Object in 3D Space
from a Sequence of Camera Images [ICML-31] (postscript)
D. Margaritis and S. Thrun
Multiple-Instance Learning for
Natural Scene Classification [ICML-32] (postscript)
O. Maron and A. Ratan
11:40-1:30 lunch (on your own)
1:30-3:10 Track I - Kellner, Rm 2120 Grainger
(session chair: Richard Caruana)
RL-TOPS: An Architecture for
Modularity and Reuse in Reinforcement Learning [ICML-33]
M. Ryan and M. Pendrith
Solving a Huge Number of Similar Tasks:
A Combination of Multi-Task Learning and a
Hierarchical Bayesian Approach [ICML-34] (postscript)
T. Heskes
A Supra-Classifier Architecture
for Scalable Knowledge Reuse [ICML-35] (postscript)
K. Bollacker and J. Ghosh
A Neural Network Model for
Prognostic Prediction [ICML-36] (postscript)
W. Street
1:30-3:10 Track II - Nicolas, Rm 2080 Grainger
(session chair: Nir Friedman)
Query Learning Strategies using Boosting and Bagging [ICML-37]
N. Abe and H. Mamitsuka
Employing EM in Pool-Based Active Learning
for Text Classification [ICML-38] (postscript)
A. McCallum and K. Nigam
Q2: Memory-Based Active Learning for
Optimizing Noisy Continuous Functions [ICML-39] (postscript)
A. Moore, J. Schneider, J. Boyan, and M. Lee
Finite-time Regret Bounds for the
Multiarmed Bandit Problem [ICML-40]
N. Cesa-Bianchi and P. Fischer
1:30-3:10 Track III - Room 1175 Grainger
(session chair: Diana Gordon)
Evolving Structured Programs with Hierarchical Instructions
and Skip Nodes [ICML-41] (postscript)
R. Salustowicz and J. Schmidhuber
Genetic Programming and Deductive-Inductive Learning:
A Multistrategy Approach [ICML-42] (postscript)
R. Aler, D. Borrajo, and P. Isasi
Coevolutionary Learning: A Case Study [ICML-43]
H. Juille and J. Pollack
An Experimental Evaluation of
Coevolutive Concept Learning [ICML-44]
C. Anglano, A. Giordana, G. Lo Bello, and L. Saitta
3:10-3:30 break (first floor of Grainger atrium)
3:30-4:20 Track I - Morgridge, Room 1100 Grainger
(session chair: Michael Littman)
Using Eligibility Traces to Find the Best Memoryless Policy in
Partially Observable Markov Decision Processes [ICML-45]
J. Loch and S. Singh
Actor/Critic Algorithms using Eligibility Traces:
An Approach to Reinforcement Learning
with Imperfect Value Function [ICML-46]
H. Kimura and S. Kobayashi
3:30-4:20 Track II - Nicolas, Rm 2080 Grainger
(session chair: Dale Schuurmans)
The Kernel-Adatron: A Fast and Simple Learning Procedure
for Support Vector Machines [ICML-47]
T. Friess and N. Cristianini
Ridge Regression Learning Algorithm
in Dual Variables [ICML-48] (postscript)
C. Saunders, A. Gammerman, and V. Vovk
3:30-4:20 Track III - Room 1175 Grainger
(session chair: Richard Maclin)
Teaching an Agent to Test Students [ICML-49] (postscript)
G. Tecuci and H. Keeling
A Case Study in the Use of Theory Revision
in Requirements Validation [ICML-50] (postscript)
T. McCluskey and M. West
4:30-5:30 ICML invited talk, Morgridge, Room 1100 Grainger
Ron Kohavi, "Crossing the Chasm:
From Academic Machine Learning to Commercial Data Mining"
(introduced by Usama Fayyad)
6:00- dinner (on your own)
6:00-12:00 buses run between Grainger Hall (Brooks St. exit, on west side)
and Madison Convention Center (4th-floor entrance)
7:00-12:00 joint COLT/ICML/ILP/UAI poster session, Madison Convention Center
"staffed" 8:00-9:30 if
first author's last name starts with A-L
"staffed" 9:30-11:00 if
first author's last name starts with M-Z
Sun 26 July
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7:45-8:30 Registration in UW Business School (Grainger Hall), first-floor atrium
7:45-8:30 coffee in courtyard of Humanities Bldg
8:30-9:30 joint COLT/ICML/UAI invited talk, Mills Concert Hall, Humanities Bldg
Philip Dawid, "Conditional Independence:
A Structural Framework for Uncertainty"
(introduced by Prakash Shenoy)
9:30-10:00 break (first floor of Grainger atrium)
10:00-11:40 Track I - Kellner, Rm 2120 Grainger
(session chair: Satinder Singh)
Knightcap: A Chess Program that Learns by Combining TD(lambda)
with Game-Tree Search [ICML-51] (postscript)
J. Baxter, A. Tridgell, and L. Weaver
Learning to Drive a Bicycle using
Reinforcement Learning and Shaping [ICML-52] (postscript)
J. Randløv and P. Alstrøm
Value Function Based Production Scheduling [ICML-53] (postscript)
J. Schneider, J. Boyan, and A. Moore
Learning Sorting and Classification
with POMDPs [ICML-54] (postscript)
B. Bonet and H. Geffner
10:00-11:40 Track II - Nicolas, Rm 2080 Grainger
(session chair: Ivan Bratko)
On the Power of Decision Lists [ICML-55] (postscript)
R. Nock and P. Jappy
A Fast, Bottom-Up Decision Tree Pruning Algorithm
with Near-Optimal Generalization [ICML-56]
M. Kearns and Y. Mansour
Generating Accurate Rule Sets
without Global Optimization [ICML-57] (postscript)
E. Frank and I. Witten
Using a Permutation Test for Attribute Selection
in Decision Trees [ICML-58] (postscript)
E. Frank and I. Witten
11:40-1:30 lunch (on your own)
1:30-3:10 Track I - Kellner, Rm 2120 Grainger
(session chair: Prasad Tadepalli)
Building the Case Against Accuracy Estimation
for Comparing Induction Algorithms [ICML-59] (postscript)
F. Provost, T. Fawcett, and R. Kohavi
A Randomized ANOVA Procedure for
Comparing Performance Curves [ICML-60] (postscript)
J. Piater, P. Cohen, X. Zhang, and M. Atigetchi
A Process-Oriented Heuristic for
Model Selection [ICML-61] (postscript)
P. Domingos
The Problem with Noise and Small Disjuncts [ICML-62] (postscript)
G. Weiss and H. Hirsh
1:30-3:10 Track II - Nicolas, Rm 2080 Grainger
(session chair: Celine Rouveirol)
An Investigation of Transformation-Based Learning
in Discourse [ICML-63] (postscript)
K. Samuel, S. Carberry, and K. Vijay-Shanker
An Information-Theoretic Definition
of Similarity [ICML-64] (postscript)
D. Lin
Learning the Grammar of Dance [ICML-65] (postscript)
J. Stuart and E. Bradley
Automatic Segmentation of Continuous Trajectories with
Invariance to Nonlinear Warpings of Time [ICML-66] (postscript)
L. Saul
3:10-3:30 break (first floor of Grainger atrium)
3:30-4:20 ICML business meeting, Mills Concert Hall, Humanities Bldg
4:30-5:30 joint COLT/ICML/UAI panel discussion, Mills Concert Hall, Humanities Bldg
"Current Issues and Open Problems,"
Thomas Dietterich, David Heckerman, and Michael Kearns,
organizers
6:00-8:00 Machine Learning editorial board meeting,
Room 5120 Grainger
Mon 27 July
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The joint AAAI/ICML workshops will be held at the Inn at the Park - Capitol Square hotel,
located at the corner of Main & Carroll, two blocks from the Madison Convention Center.
The AAAI tutorials will be held at the Madison Convention Center.
The UAI Advanced Course on Uncertain Reasoning will be held in Room 1100 of Grainger Hall.