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Deep Momentum Multi-Marginal Schrödinger Bridge


Mar 03, 2023
Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos A. Theodorou

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Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian


Sep 30, 2022
Oswin So, Gongjie Li, Evangelos A. Theodorou, Molei Tao

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gDDIM: Generalized denoising diffusion implicit models


Jun 11, 2022
Qinsheng Zhang, Molei Tao, Yongxin Chen

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* 26 pages, 9 figures, implementation https://github.com/qsh-zh/gDDIM 

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Alternating Mirror Descent for Constrained Min-Max Games


Jun 08, 2022
Andre Wibisono, Molei Tao, Georgios Piliouras

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Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport


May 27, 2022
Lingkai Kong, Yuqing Wang, Molei Tao

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* Comments are welcome 

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The Mirror Langevin Algorithm Converges with Vanishing Bias


Oct 11, 2021
Ruilin Li, Molei Tao, Santosh S. Vempala, Andre Wibisono

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Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect


Oct 07, 2021
Yuqing Wang, Minshuo Chen, Tuo Zhao, Molei Tao

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* Questions and comments are welcome 

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Sqrt(d) Dimension Dependence of Langevin Monte Carlo


Sep 23, 2021
Ruilin Li, Hongyuan Zha, Molei Tao

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* v1 submitted on May 28, 2021 (NeurIPS 2021 deadline); v2 added an important reference and discussions 

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Mean-Square Analysis with An Application to Optimal Dimension Dependence of Langevin Monte Carlo


Sep 08, 2021
Ruilin Li, Hongyuan Zha, Molei Tao

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* Submitted to NeurIPS 2021 on May 28, 2021 (the submission deadline) 

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