Future

2017

Keynote: 3rd Global Conference on Artificial Intelligence (GCAI 2017), Florida, USA

Past

2017

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