Statistical Relational Learning Research Meeting

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We read and discuss papers in the area of Statistical Relational Learning (SRL).

Regular Meeting Time & Place

~~The SRL group meets once in four weeks on Monday from 1pm to 2pm in ENS32NEA.~~
The SRL group meets once in four weeks on Wednesday from 2pm to 3pm in ACES 3.116.
Next meeting is on Wednesday May 2, 2012

Schedule for Spring 2012

Date	Time	Place	Agenda
5/2/2012	2PM	ACES 3.116	Global Learning of Typed Entailment Rules Jonathan Berant, Ido Dagan, Jacob Goldberger ACL 2011
4/11/2012	2PM	ACES 3.116	On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference Guy Van den Broeck NIPS 2011
2/20/2012	1PM	ENS32NEA	Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrain IJCAI 2011

Currently Proposed Papers

Collective Graph Identification
Galileo Mark Namata, Stanley Kok, Lise Getoor
KDD 2011
A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic
David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht
IJCAI 2011
Learning Decision Rules from Data Streams
Joao Gama, Petr Kosina
IJCAI 2011
Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach
Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude Shavlik
IJCAI 2011
A General MCMC Method for Bayesian Inference in Logic-Based Probabilistic Modeling
Taisuke Sato
IJCAI 2011
Relational Blocking for Causal Discovery
Matthew Rattigan, Marc Maier, David Jensen
AAAI 2011
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation
Marion Neumann, Babak Ahmadi, Kristian Kersting
AAAI 2011
Bayesian Network Learning with Cutting Planes
James Cussens
UAI 2011
Inference in Probabilistic Logic Programs using Weighted CNF's
Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
UAI 2011
Learning the Parameters of Probabilistic Logic Programs from Interpretations
Bernd Gutmann, Ingo Thon, Luc De Raedt
ECML 2011
Learning First-Order Definite Theories via Object-Based Queries
Joseph Selman, Alan Fern
ECML 2011
Can ILP Learn Complete and Correct Game Strategies ?
Stephen Muggleton and Changze Xu
ILP 2011
Learning the Structure of Probabilistic Logic Programs
Elena Bellodi and Fabrizio Riguzzi
ILP 2011
The PITA System for Logical-Probabilistic Inference
Joris Renkens, Guy Van Den Broeck and Siegfried Nijssen
ILP 2011
The expressive power of first-order logical decision trees
Joris Gillis and Jan Van Den Bussche
ILP 2011
Variatinal Bayes inference for logic-based probabilistic models on BDDs
Masakazu Ishihata, Yoshitaka Kameya and Taisuke Sato
ILP 2011
Online Bayesian inference for the parameters of PRISM programs
James Cussens
ILP 2011
Learning a generative failure-free PRISM clause
Waleed Alsanie and James Cussens
ILP 2011
Learning Compact Markov Logic Networks With Decision Trees
Hassan Khosravi, Oliver Schulte and Jianfeng Hu
ILP 2011
Probabilistic Logic in Dynamic Domains: Particle Filter with Distributional Clauses
Davide Nitti, Guy Van Den Broeck and Luc De Raedt
ILP 2011
Learning from Linked Data by Markov Logic
Man Zhu and Zhiqiang Gao
ILP 2011
Statistical Relational Learning of Object Affordances for Robotic Manipulation
Bogdan Moldovan, Martijn Van Otterlo, Plinio Moreno Lopez, Jose Santos-Victor and Luc De Raedt
ILP 2011
Conceptual Clustering of Multi-Relational Data
Nuno A. Fonseca, Rui Camacho and Vitor Santos Costa
ILP 2011
Learning Directed Relational Models With Recursive Dependencies
Oliver Schulte, Hassan Khosravi and Tong Man
ILP 2011

Past Discussions

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For more information, please contact Hyeonseo Ku
Last Update: 2/20/2012