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SRL2006: Open Problems in Statistical Relational Learning

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Regular Papers

Relational Clustering for Entity Resolution Queries
Indrajit Bhattacharya, Louis Licamele, Lise Getoor

Model-Assisted Approaches for Relational Reinforcement Learning: Some Challenges for the SRL Community
Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

Tractable Learning and Inference with High-Order Representations
Aron Culotta, Andrew McCallum

The Thing We Tried That Worked: Utile Distinctions for Relational Reinforcement Learning
Will Dabney, Amy McGovern

View Learning Extended: Inventing New Tables for Statistical Relational Learning
Jesse Davis, Elizabeth Burnside, David Page, Vítor Santos Costa

MPE and Partial Inversion in Lifted Probabilistic Variable Elimination
Rodrigo de Salvo Braz, Eyal Amir, Dan Roth

MAP Estimation in MRFs via Rank Aggregation
Rahul Gupta, Sunita Sarawagi

First Order Decision Diagram for Relational MDPs
Saket Joshi, Roni Khardon, Chenggang Wang

Learning Systems of Concepts with an Infinite Relational Model
Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda
(Also appearing at AAAI 2006)

A General Model for Relational Clustering
Bo Long, Zhongfei Zhang, Xiaoyun Wu, Philip Yu

Recursive Random Fields
Daniel Lowd, Pedro Domingos

Structure Refinement in First Order Conditional Influence Language
Sriraam Natarajan, Weng-Keen Wong, Prasad Tadepalli

Bias/Variance Analysis for Network Data
Jennifer Neville, David Jensen

Online Feature Discovery in Relational Reinforcement Learning
Scott Sanner

Empirical Comparison of Approximate Inference Algorithms for Networked Data
Prithviraj Sen, Lise Getoor

Learning Infinite Hidden Relational Models
Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel

Position Papers

Open Problems in Relational Data Clustering
Adam Anthony, Marie desJardins

Speaking of Relations: Connecting Statistical Relational Learning and Multi-Agent Systems
Marie desJardins, Matthew E. Gaston

Using Predictive Clustering and Probabilistic Constraint Solving for Structural Predictions
Kurt Driessens, Hendrik Blockeel

Expressivity Analysis for PL-Languages
Manfred Jaeger, Kristian Kersting, Luc De Raedt

Toward Statistical Predicate Invention
Stanley Kok, Pedro Domingos

Open Problem: Dynamic Relational Models for Improved Hazardous Weather Prediction
Amy McGovern, Adrianna Kruger, Derek Rosendahl, Kelvin Droegemeier