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Haoran Sun
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Score-based Continuous-time Discrete Diffusion Models
H Sun, L Yu, B Dai, D Schuurmans, H Dai
arXiv preprint arXiv:2211.16750, 2022
272022
Improving learning to branch via reinforcement learning
H Sun, W Chen, H Li, L Song
242020
Path auxiliary proposal for mcmc in discrete space
H Sun, H Dai, W Xia, A Ramamurthy
International Conference on Learning Representations, 2021
192021
Discrete Langevin Samplers via Wasserstein Gradient Flow
H Sun, H Dai, B Dai, H Zhou, D Schuurmans
International Conference on Artificial Intelligence and Statistics, 6290-6313, 2023
162023
Multi-task Learning of Order-Consistent Causal Graphs
X Chen, H Sun, C Ellington, E Xing, L Song
Advances in Neural Information Processing Systems 34, 11083-11095, 2021
132021
scMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detection
Z Zhang, H Sun, R Mariappan, X Chen, X Chen, MS Jain, M Efremova, ...
Nature Communications 14 (1), 384, 2023
122023
Optimal scaling for locally balanced proposals in discrete spaces
H Sun, H Dai, D Schuurmans
Advances in Neural Information Processing Systems 35, 23867-23880, 2022
102022
Annealed Training for Combinatorial Optimization on Graphs
H Sun, EK Guha, H Dai
arXiv preprint arXiv:2207.11542, 2022
82022
Revisiting sampling for combinatorial optimization
H Sun, K Goshvadi, A Nova, D Schuurmans, H Dai
International Conference on Machine Learning, 32859-32874, 2023
52023
Discs: A benchmark for discrete sampling
K Goshvadi, H Sun, X Liu, A Nova, R Zhang, W Grathwohl, D Schuurmans, ...
Advances in Neural Information Processing Systems 36, 2024
12024
Any-scale Balanced Samplers for Discrete Space
H Sun, B Dai, C Sutton, D Schuurmans, H Dai
The Eleventh International Conference on Learning Representations, 2022
12022
Stochastic Gradient Discrete Langevin Dynamics
H Sun, BY Wang, K Goshvadi, Y Xue, D Schuurmans, H Dai
2023
Provable Learning-based Algorithm For Sparse Recovery
X Chen, H Sun, L Song
International Conference on Learning Representations, 2021
2021
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Articles 1–13