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2007 Conference Schedule
Downloadable ICML/ILP 2007 Conference Schedule
Breakfast, lunch, coffee breaks, and conference banquet are in the Alumni Center Ballroom.
All technical presentations and the poster sessions are in LaSells Stewart Center.
Tuesday June 19th: ILP Technical SessionsC&E Hall
8:00 am - 9:00 amBreakfast
9:00 am - 9:10 amWelcome and Announcements
9:10 am - 10:30 amILP Session 1
9:10 am - 10:10 amInvited Talk: Learning with Kernels and Logical Representations
Paolo Frasconi
10:10 am - 10:30 amPoster Overviews
Phase Transition-Based Perspective on Multiple Instance Kernels
Romaric Gaudel, Michele Sebag, Antoine Cornuejols
Clustering Relational Data based on Randomized Propositionalization
Grant Anderson, Bernhard Pfahringer
10:30 am - 11:00 amCoffee Break
11:00 am - 12:45 pmILP Session 2
11:00 am - 12:15 pmOral Presentations
Frequent Mining of Block Preserving Outerplanar Graph Structured Patterns
Yosuke Sasaki, Hitoshi Yamazaki, Takayoshi Shoudai, Tomoyuki Uchida
Using ILP to Construct Features for Information Extraction from Semi-Structured Text
Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Balakrishnan, Ashwin Srinivasan
An Inductive Learning System for XML Documents
Xiaobing Wu
12:15 pm - 12:45 pmPoster Overviews
XML Document Classification with Co-training
Xiaobing Wu
Seeing the Forest through the Trees: Learning a Comprehensible Model from a First Order Ensemble
Anneleen Van Assche, Hendrik Blockeel
Skimmed Classifiers
Rogerio Salvini, Eduardo Aguilar, Ines Dutra
12:45 pm - 2:00 pmLunch
2:00 pm - 3:40 pmILP Session 3 (Oral presentations only)
Best student papers:
Foundations of Refinement Operators for Description Logics
A Refinement Operator Based Learning Algorithm for the ALC Description Logic
Jens Lehman, Pascal Hitzler
Learning to Assign Degrees of Belief in Relational Domains
Frederic Koriche
Mode Directed Inverse Entailment for Full Clausal Theories
Oliver Ray, Katsumi Inoue
3:40 pm - 4:10 pmCoffee Break
4:10 pm - 5:45 pmILP Session 4
4:10 pm - 5:25 pmOral Presentations
Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification
Aram Galstyan, Paul Cohen
Applying Inductive Logic Programming to Process Mining
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Sergio Storari
Learning Declarative Bias
Will Bridewell, Ljupco Todorovski
5:25 pm - 5:45 pmPoster presentations
Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases
Claudia D'Amato, Nicola Fanizzi, Floriana Esposito
ILP :- Just Trie It
Rui Camacho, Nuno Fonseca, Ricardo Rocha, Vitor Santos Costa
6:30 pm - 9:30 pmAirlie winery tourBegins at LaSells Stewert Center
Wednesday, June 20th: ILP Technical SessionsC&E Hall
8:00 am - 9:00 amBreakfast
9:00 am - 10:30 amILP Session 5
9:00 am - 10:00 amInvited Talk
Beyond Prediction: Directions for Probabilistic and Relational Learning
David Jensen, University of Massachusetts at Amherst
10:00 am - 10:30 amPoster Overviews
Learning Directed Probabilistic Logical Models using Ordering-search
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming
Louis Oliphant, Jude Shavlik
Revising First-Order Logic Theories from Examples through Stochastic Local Search
Aline Paes, Gerson Zaverucha, Vítor Santos Costa
10:30 am - 11:00 amCoffee Break
11:00 am - 12:55 pmILP Session 6
11:00 am - 12:15 pmOral Presentations
Structural Sampling for Statistical Software Testing
Nicolas Baskiotis, Michele Sebag
A Relational Hierarchical Model for Decision-Theoretic Assistance
Sriraam Natarajan, Prasad Tadepalli, Alan Fern
Relational Macros for Transfer in Reinforcement Learning
Lisa Torrey, Jude Shavlik, Trevor Walker, Richard Maclin
12:15 pm - 12:55 pmPoster Overviews
Learning Relational Skills for Inductive Transfer in Relational Reinforcement Learning
Tom Croonenborghs, Kurt Driessens, Maurice Bruynooghe
Building Relational World Models for Reinforcement Learning
Trevor Walker, Lisa Torrey, Jude Shavlik, Richard Maclin
Dynamic Predicate Construction for Learning Relational Concepts
Michael Chiang, David Poole
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Mark Goadrich, Jude Shavlik
Wednesday, June 20th: ICML Tutorials
8:00 am - 9:00 amBreakfast
9:00 am - 10:30 amMorning Sessions
T5: Mining Large Time Evolving Data Using Matrix and Tensor ToolsAg Leaders
Christos Faloutsos, Tamara G. Kolda and Jimeng Sun
T2: Bayesian Methods in Reinforcement LearningAustin Auditorium
Pascal Poupart, Mohammad Ghavamzadeh and Yaakov Engel
T3: Online Learning of Real-World ProblemsAg Science
Koby Crammer
T4: Semi-Supervised LearningAg Production
Xiaojin Zhu
10:30 am - 11:00 amCoffee Break
11:00 am - 1:00 pmMorning Sessions (cont'd.)
1:00 pm - 2:00 pmLunch
2:00 pm - 3:30 pmAfternoon Sessions
T1: Tensor Methods for Machine Learning, Computer Vision and Computer GraphicsAg Leaders
M. Alex O. Vasilescu and Amnon Shashua
T6: Relational Data Community GenerationC&E Hall
Bo Long, Zhongei Zhang and Philip S. Yu
T7: Practical Statistical Relational LearningAustin Auditorium
Pedro Domingos
T8: Group Theoretical Methods in Machine LearningAg Production
Risi Kondor
3:30 pm - 4:00 pmCoffee Break
4:00 pm - 6:00 pmAfternoon Sessions (cont'd.)
6:00 pm - 9:00 pmOregon State ReceptionKelley Engineering Center
Thursday, June 21st: ICML/ILP Technical Sessions
8:00 am - 9:00 amBreakfast
9:00 am - 9:10 amOpeningAustin Auditorium
9:10 am - 10:10 amInvited Talk: Bernhard SchoelkopfAustin Auditorium
Thoughts on Kernels
10:10 am - 10:40 amCoffee Break
10:50 am - 12:50 pmILP Session 7Austin Auditorium
10:40 am - 11:30 amILP Invited PanelAustin Auditorium
Structured Machine Learning: The Next 10 Years
Thomas Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton,Bernard Pfahringer
11:30 am - 12:00 pmImpromptu talksAustin Auditorium
12:00 pm - 12:50 pmBusiness MeetingAustin Auditorium
10:40 am - 12:45 pmSessions 1-4
Session 1 - SEMI-SUPERVISED LEARNINGAg Production
Session 2 - RANKINGAg Leaders
Session 3 - KERNEL METHODSC&E Hall
Session 4 - ONLINE LEARNING AND THEORYAg Science
12:45 pm - 2:00 pmLunch
2:00 pm - 3:40 pmSessions 5-8
Session 5 - RELATIONAL LEARNING AND ILPAustin Auditorium
Session 6 - COMPUTER GO, RL AND GAME THEORYAg Leaders
Session 7 - MULTI-TASK AND TRANSFER LEARNINGC&E Hall
Session 8 - CLUSTERING IAg Production
3:40 pm - 4:10 pmCoffee Break
4:10 pm - 5:50 pmSessions 9-12
Session 9 - CLASSIFICATION IAg Leaders
Session 10 - NONPARAMETRIC BAYESIAN METHODSC&E Hall
Session 11 - METRIC LEARNING IAg Production
Session 12 - RELATIONAL LEARNING IIAustin Auditorium
7:00 pm - 10:00 pmPoster Session I (Sessions 1-18)
Friday, June 22nd: ICML Technical Sessions
8:00 am - 9:00 amBreakfast
9:00 am - 10:00 amInvited Talk: Josh TenenbaumAustin Auditorium
Bayesian models of human inductive learning
10:00 am - 10:30 amCoffee Break
10:30 am - 12:35 pmSessions 13-16
Session 13 - REINFORCEMENT LEARNING IAustin Auditorium
Session 14 - GAUSSIAN PROCESSESAg Leaders
Session 15 - INFERENCE, PROBABILISTIC MODELS, AND RANDOM FIELDSC&E Hall
Session 16 - LARGE-SCALE OPTIMIZATIONAg Production
12:35 pm - 2:00 pmLunch
2:00 pm - 3:40 pmSessions 17-20
Session 17 - REINFORCEMENT LEARNING IIAustin Auditorium
Session 18 - MULTIPLE-INSTANCE AND SEQUENTIAL LEARNINGAg Production
Session 19 - NETWORKS AND GRAPHSC&E Hall
Session 20 - CLASSIFICATION IIAg Leaders
3:40 pm - 4:10 pmCoffee Break
4:10 pm - 5:50 pmSessions 21-24
Session 21 - VISION, GRAPHICS AND ROBOTICSC&E Hall
Session 22 - DISCRIMINANT ANALYSISAg Leaders
Session 23 - FEATURE SELECTIONAg Production
Session 24 - MANIFOLDS AND DIMENSIONALITY REDUCTION IAustin Auditorium
5:50 pm - 7:00 pmBreak
7:00 pm - 10:30 pmConference Banquet
Saturday, June 23rd: ICML Technical Sessions
8:00 am - 9:00 amBreakfast
9:00 am - 11:05 amSessions 25-28
Session 25 - CLASSIFICATION IIIAg Leaders
Session 26 - STRUCTURED PREDICTIONAustin Auditorium
Session 27 - CLUSTERING IIAg Production
Session 28 - LANGUAGE, TOPIC MODELLING AND HIERARCHIESC&E Hall
11:05 am - 11:35 amCoffee Break
11:35 am - 12:50 pmSessions 29-32
Session 29 - METRIC LEARNING IIC&E Hall
Session 30 - BIOINFORMATICSAg Production
Session 31 - CAUSALITY, KERNELS AND DEEP NETWORKSAustin Auditorium
Session 32 - SPARSE MODELS AND SIGNAL PROCESSINGAg Leaders
12:50 pm - 2:20 pmLunch
2:20 pm - 4:00 pmSessions 33-36
Session 33 - MANIFOLDS AND DIMENSIONALITY REDUCTION IIC&E Hall
Session 34 - SPARSE METHODS AND PCAAg Production
Session 35 - BOOSTINGAg Leaders
Session 36 - REINFORCEMENT LEARNING IIIAustin Auditorium
4:00 pm - 4:30 pmCoffee Break
4:30 pm - 5:30 pmInvited Talk: David HeckermanAustin Auditorium
Graphical Models for HIV Vaccine Design
David Heckerman, Microsoft Research
5:45 pm - 6:45 pmBusiness MeetingAustin Auditorium
7:00 pm - 10:00 pmPoster Session II (Sessions 19-36)
Sunday, June 24th: ICML Workshops
8:00 am - 9:00 amBreakfast
9:00 am - 10:30 amWorkshops Sessions
Challenges and Applications of Grammar Induction (CAGI '07)C&E Hall
Induction of Process ModelsAg Production
Constrained Optimization and Learning with Structured OutputsAustin Auditorium
10:30 am - 11:00 amCoffee Break
11:00 am - 12:30 pmWorkshops Sessions (cont'd.)
12:30 pm - 2:00 pmLunch
2:00 pm - 3:45 pmWorkshops Sessions (cont'd.)
3:45 pm - 4:15 pmCoffee Break
4:15 pm - 6:00 pmWorkshops Sessions (cont'd.)
6:00 pmConference Closes

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