Guy Van den Broeck

UCLA - Computer Science Department
Engineering VI Room 368A
404 Westwood Plaza
Los Angeles, CA 90095-1596

+1 (310) 206-6552

Pronounce my name
guyvdb@cs.ucla.edu

I am an Associate Professor and Samueli Fellow at UCLA, in the Computer Science Department, where I direct the Statistical and Relational Artificial Intelligence (StarAI) lab. My research interests are in Machine Learning (Statistical Relational Learning, Tractable Learning), Knowledge Representation and Reasoning (Graphical Models, Lifted Probabilistic Inference, Knowledge Compilation), Applications of Probabilistic Reasoning and Learning (Probabilistic Programming, Probabilistic Databases), and Artificial Intelligence in general.

Recent Publications

2021
[159]	Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan and David Poole. An Introduction to Lifted Probabilistic Inference, MIT Press, 2021.
[158]	Eric Wang, Pasha Khosravi and Guy Van den Broeck. Probabilistic Sufficient Explanations, In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.
[157]	Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck and Parag Singla. Towards an Interpretable Latent Space in Structured Models for Video Prediction, In IJCAI 2021 Weakly Supervised Representation Learning Workshop (WSRL), 2021.
[156]	Steven Holtzen, Sebastian Junges, Marcell Vazquez-Chanlatte, Todd Millstein, Sanjit A. Seshia and Guy Van den Broeck. Model Checking Finite-Horizon Markov Chains with Probabilistic Inference, In Proceedings of the 33rd International Conference on Computer-Aided Verification (CAV), 2021.
[155]	Honghua Zhang, Brendan Juba and Guy Van den Broeck. Probabilistic Generating Circuits, In Proceedings of the 38th International Conference on Machine Learning (ICML), 2021. Long presentation, acceptance rate 166/5513 = 3%
[154]	Wenzhe Li, Zhe Zeng, Antonio Vergari and Guy Van den Broeck. Tractable Computation of Expected Kernels, In Proceedings of the 37th Conference on Uncertainty in Aritifical Intelligence (UAI), 2021.
[153]	Honghua Zhang, Brendan Juba and Guy Van den Broeck. Probabilistic Generating Circuits, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), 2021. TPM best paper award
[152]	Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso and Guy Van den Broeck. A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), 2021.
[151]	Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari and Guy Van den Broeck. Is Parameter Learning via Weighted Model Integration Tractable?, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), 2021.
[150]	Anji Liu and Guy Van den Broeck. Tractable Regularization of Probabilistic Circuits, In Proceedings of the UAI Workshop on Tractable Probabilistic Modeling (TPM), 2021.