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Meihua Dang
Meihua Dang
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Strudel: Learning Structured-Decomposable Probabilistic Circuits
M Dang, A Vergari, G Van den Broeck
The 10th International Conference on Probabilistic Graphical Models, 2020
382020
Group Fairness by Probabilistic Modeling with Latent Fair Decisions
YJ Choi, M Dang, G Van den Broeck
The 35th AAAI Conference on Artificial Intelligence, 2021
342021
Diffusion model alignment using direct preference optimization
B Wallace, M Dang, R Rafailov, L Zhou, A Lou, S Purushwalkam, S Ermon, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
282024
Juice: A Julia Package for Logic and Probabilistic Circuits
M Dang, P Khosravi, Y Liang, A Vergari, G Van den Broeck
The 35th AAAI Conference on Artificial Intelligence, 2021
272021
Tractable control for autoregressive language generation
H Zhang, M Dang, N Peng, G Van den Broeck
International Conference on Machine Learning, 40932-40945, 2023
132023
Scaling pareto-efficient decision making via offline multi-objective rl
B Zhu, M Dang, A Grover
arXiv preprint arXiv:2305.00567, 2023
122023
Sparse Probabilistic Circuits via Pruning and Growing
M Dang, A Liu, G Van den Broeck
The 36th Conference on Neural Information Processing Systems, 2022
112022
Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits
M Dang, A Vergari, G Van den Broeck
International Journal of Approximate Reasoning 140, 92-115, 2022
102022
Tractable and expressive generative models of genetic variation data
M Dang, A Liu, X Wei, S Sankararaman, G Van den Broeck
bioRxiv, 2023
42023
Scaling Up Probabilistic Circuits for Inference Demanding Applications
M Dang
University of California, Los Angeles, 2023
2023
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Articles 1–10