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Journal Articles
- 2023
[j6]Didong Li, Wenpin Tang, Sudipto Banerjee:
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds. J. Mach. Learn. Res. 24: 101:1-101:26 (2023)- 2022
- [j5]Wenpin Tang
, Xiao Xu, Xun Yu Zhou:
Asset selection via correlation blockmodel clustering. Expert Syst. Appl. 195: 116558 (2022) - [j4]Xin Guo, Wenpin Tang, Renyuan Xu:
A Class of Stochastic Games and Moving Free Boundary Problems. SIAM J. Control. Optim. 60(2): 758-785 (2022) - [j3]Wenpin Tang, Yuming Paul Zhang, Xun Yu Zhou:
Exploratory HJB Equations and Their Convergence. SIAM J. Control. Optim. 60(6): 3191-3216 (2022) - 2021
- [j2]Xiao Fang, Han L. Gan, Susan P. Holmes, Haiyan Huang, Erol Peköz, Adrian Röllin, Wenpin Tang:
Arcsine laws for random walks generated from random permutations with applications to genomics. J. Appl. Probab. 58(4): 851-867 (2021) - 2019
- [j1]Wenpin Tang:
Exponential ergodicity and convergence for generalized reflected Brownian motion. Queueing Syst. Theory Appl. 92(1-2): 83-101 (2019)
Conference and Workshop Papers
- 2023
- [c3]Hanyang Zhao, Wenpin Tang, David D. Yao:
Policy Optimization for Continuous Reinforcement Learning. NeurIPS 2023 - 2020
- [c2]Wenpin Tang, Xin Guo, Fengmin Tang:
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application. ICML 2020: 9377-9386 - 2019
- [c1]Wenpin Tang:
Mallows ranking models: maximum likelihood estimate and regeneration. ICML 2019: 6125-6134
Informal and Other Publications
- 2024
- [i13]Wenpin Tang, Hanyang Zhao:
Contractive Diffusion Probabilistic Models. CoRR abs/2401.13115 (2024) - [i12]Wenpin Tang, Hanyang Zhao:
Score-based Diffusion Models via Stochastic Differential Equations - a Technical Tutorial. CoRR abs/2402.07487 (2024) - [i11]Wenpin Tang:
Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond. CoRR abs/2403.06279 (2024) - [i10]Haoxian Chen, Hanyang Zhao, Henry Lam, David D. Yao, Wenpin Tang:
Mallows-DPO: Fine-Tune Your LLM with Preference Dispersions. CoRR abs/2405.14953 (2024) - [i9]Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang:
Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning. CoRR abs/2409.08400 (2024) - [i8]Genta Indra Winata, Hanyang Zhao, Anirban Das, Wenpin Tang, David D. Yao, Shi-Xiong Zhang, Sambit Sahu:
Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey. CoRR abs/2409.11564 (2024) - [i7]Hanyang Zhao, Genta Indra Winata, Anirban Das, Shi-Xiong Zhang, David D. Yao, Wenpin Tang, Sambit Sahu:
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization. CoRR abs/2410.04203 (2024) - 2023
- [i6]Wenpin Tang, Hung Vinh Tran, Yuming Paul Zhang:
Policy iteration for the deterministic control problems - a viscosity approach. CoRR abs/2301.00419 (2023) - [i5]Hanyang Zhao, Wenpin Tang, David D. Yao:
Policy Optimization for Continuous Reinforcement Learning. CoRR abs/2305.18901 (2023) - [i4]Wenpin Tang, David D. Yao:
Transaction fee mechanism for Proof-of-Stake protocol. CoRR abs/2308.13881 (2023) - 2020
- [i3]Xin Guo, Jiequn Han, Wenpin Tang:
Perturbed gradient descent with occupation time. CoRR abs/2005.04507 (2020) - [i2]Wenpin Tang:
Learning an arbitrary mixture of two multinomial logits. CoRR abs/2007.00204 (2020) - 2019
- [i1]Xin Guo, Fengmin Tang, Wenpin Tang:
Consistency of the Buckley-Osthus model and the hierarchical preferential attachment model. CoRR abs/1910.07698 (2019)
Coauthor Index
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