News
Talks and Tutorials
Future
- 2018
- Invited Talk: Logic and Learning Workshop, Oxford, UK
Past
- 2017
- Keynote: Open-World Probabilistic Databases
, 3rd Global Conference on Artificial Intelligence (GCAI 2017), Florida, USA
- Invited Talk: First-Order Knowledge Compilation
, Dagstuhl Seminar on Recent Trends in Knowledge Compilation
- Invited Talk: PSDDs for Tractable Learning in Structured and Unstructured Spaces
, Second International Workshop on Declarative Learning Based Programming (DeLBP), Melbourne, Australia
- Talk: PSDDs for Tractable Learning in Structured and Unstructured Spaces
, Computer Science Department, University of British Columbia
- Invited Talk: Open-World Probabilistic Databases
, The 30th International FLAIRS Conference, Florida, USA
- Invited Talk: Tractable Learning in Structured Probability Spaces
, The AAAI-17 Workshop on Symbolic Inference and Optimization (SymInfOpt-17), San Francisco
- Invited Talk: Tractable Learning in Structured Probability Spaces
, Statistics Department Seminar, UCLA
- 2016
- Invited Talk: Tractable Learning in Structured Probability Spaces
, DTAI Seminar, KU Leuven, Belgium
- Invited Talk: Tractable Learning in Structured Probability Spaces
,
Southern California Machine Learning Symposium, Caltech
- Invited Talk: Probabilistic Reasoning by First-Order Model Counting
, Workshop on Uncertainty in Computation, Simons Institute, Berkeley
- Invited Talk: Open-World Probabilistic Databases
, International Conference on Scalable Uncertainty Management (SUM), Nice, France
- Invited Talk: First-Order Probabilistic Reasoning: Successes and Challenges
, International Joint Conference on Artificial Intelligence (IJCAI), Early Career Spotlight
- Tutorial: Lifted Probabilistic Inference in Relational Models
, International Joint Conference on Artificial Intelligence (IJCAI), Co-authored with Dan Suciu.
- Invited Talk: First-Order Knowledge Compilation
, AAAI-16 Workshop on Beyond NP, Phoenix
- Talk: Open-World Probabilistic Databases
, Spring Workshop on Mining and Learning (SML), Titisee, Germany
- 2015
- Invited Talk: Sentential Decision Diagrams And Their Applications
, with Adnan Darwiche and Arthur Choi, INFORMS Annual Meeting, Philadelphia
- Talk: Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data
, Conference on Uncertainty in Artificial Intelligence (UAI)
- Invited Talk: First-Order Knowledge Compilation for Probabilistic Reasoning
, Symposium on New Frontiers in Knowledge Compilation, Vienna Center for Logic and Algorithms, Austria
- Invited Talk: Symmetry in Probabilistic Databases
, Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru
- Invited Tutorial: An Overview of Statistical Relational Learning, Alberto Mendelzon Graduate School on Data Management, Lima, Peru
- Talk: Approximate Symmetries in Lifted Inference
, Banff Workshop on New Perspectives for Relational Learning
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Department of Computer Science, Cornell University
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Microsoft Research, Redmond
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Department of Computer Science & Engineering, University of Washington, Seattle
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Department of Computer Science, University of Southern California
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Department of Computer Science, University of California, Irvine
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Cheriton School of Computer Science, University of Waterloo
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Computer Sciences Department, University of Wisconsin-Madison
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Department of Computer Science, Tufts University
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Department of Computer Science and Informatics, Indiana University, Bloomington
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne
- Invited Talk: Scalable Inference and Learning for High-Level Probabilistic Models
, Computer Science Department, University of California, Los Angeles
- Talk: On the Role of Canonicity in Knowledge Compilation
, AAAI Conference on Artificial Intelligence
- Talk: Lifted Probabilistic Inference for Asymmetric Graphical Models
, AAAI Conference on Artificial Intelligence
- 2014
- Tutorial: Lifted probabilistic inference in relational models
, Conference on Uncertainty in Artificial Intelligence (UAI), Co-authored with Dan Suciu.
- Invited Tutorial: Lifted inference in statistical relational models
, International workshop on Big Uncertain Data (BUDA) at the ACM SIGMOD/PODS conference
- Invited Talk: ECCAI Dissertation Award Ceremony at the European Conference on Artificial Intelligence (ECAI), Prague, Czech Republic
- Invited Talk: Scientific prize IBM Belgium for Informatics Award Ceremony, IBM, Brussels, Belgium
- Invited Talk: Lifted Inference and Learning in Statistical Relational Models, Center for Data Science, University of Washington, Tacoma
- 2012
- Talk: Recent advances in lifted inference at Leuven
, Spring Workshop on Mining and Learning, Bad Neuenahr, Germany
- 2011
- Talk: Probabilistic programming in Scala
, BeScala Meet-up, Belgium
- Invited Talk: Monte-Carlo tree search for multi-player, no-limit Texas hold’em poker
, SIKS Symposium on Strategic Decision-Making in Complex Games, Maastricht University, Netherlands
- Tutorial Presenter: Lifted probabilistic inference by first-order knowledge compilation
, IJCAI Tutorial on Lifted Inference in Probabilistic Logical Models
- 2010
- Talk: DTProbLog: A Decision-Theoretic Probabilistic Prolog
, Twenty-fourth AAAI Conference on Artificial Intelligence