Wenpin Tang

According to our database, Wenpin Tang authored at least 39 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Sample Complexity of Transfer Learning: An Optimal Transport Approach.

Haoyang Cao, Xin Guo, Wenpin Tang, Guan Wang

CoRR, May, 2026

Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian.

Wenpin Tang, Nizar Touzi, Zikun Zhang, Xun Yu Zhou

CoRR, May, 2026

Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline.

Zhengyi Guo, Jiayuan Sheng, David D. Yao, Wenpin Tang

CoRR, May, 2026

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach.

Zhengyi Guo, Wenpin Tang, Renyuan Xu

CoRR, February, 2026

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule.

Yilie Huang, Wenpin Tang, Xun Yu Zhou

CoRR, January, 2026

2025

SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations.

Haoting Zhang, Haoxian Chen, Donglin Zhan, Hanyang Zhao, Henry Lam, Wenpin Tang, David D. Yao, Zeyu Zheng

CoRR, November, 2025

Understanding Sampler Stochasticity in Training Diffusion Models for RLHF.

Jiayuan Sheng, Hanyang Zhao, Haoxian Chen, David D. Yao, Wenpin Tang

CoRR, October, 2025

DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning.

Hanyang Zhao, Dawen Liang, Wenpin Tang, David D. Yao, Nathan Kallus

CoRR, October, 2025

Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance.

Zhengyi Guo, Jiatu Li, Wenpin Tang, David D. Yao

CoRR, September, 2025

Fine-Tuning Diffusion Generative Models via Rich Preference Optimization.

Hanyang Zhao, Haoxian Chen, Yucheng Guo, Genta Indra Winata, Tingting Ou, Ziyu Huang, David D. Yao, Wenpin Tang

CoRR, March, 2025

The Convergence Rate of Vanishing Viscosity Approximations for Mean Field Games.

Wenpin Tang, Yuming Paul Zhang

SIAM J. Math. Anal., 2025

Policy Iteration for the Deterministic Control Problems - A Viscosity Approach.

Wenpin Tang, Hung V. Tran, Yuming Paul Zhang

SIAM J. Control. Optim., 2025

Polynomial Voting Rules.

Wenpin Tang, David D. Yao

Math. Oper. Res., 2025

Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey.

Genta Indra Winata, Hanyang Zhao, Anirban Das, Wenpin Tang, David D. Yao, Shi-Xiong Zhang, Sambit Sahu

J. Artif. Intell. Res., 2025

Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning.

Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization.

Hanyang Zhao, Genta Indra Winata, Anirban Das, Shi-Xiong Zhang, David D. Yao, Wenpin Tang, Sambit Sahu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MallowsPO: Fine-Tune Your LLM with Preference Dispersions.

Haoxian Chen, Hanyang Zhao, Henry Lam, David D. Yao, Wenpin Tang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Regret of exploratory policy improvement and <i>q</i>-learning.

Wenpin Tang, Xun Yu Zhou

CoRR, 2024

RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization.

Hanyang Zhao, Genta Indra Winata, Anirban Das, Shi-Xiong Zhang, David D. Yao, Wenpin Tang, Sambit Sahu

CoRR, 2024

Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey.

Genta Indra Winata, Hanyang Zhao, Anirban Das, Wenpin Tang, David D. Yao, Shi-Xiong Zhang, Sambit Sahu

CoRR, 2024

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning.

Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang

CoRR, 2024

Mallows-DPO: Fine-Tune Your LLM with Preference Dispersions.

Haoxian Chen, Hanyang Zhao, Henry Lam, David D. Yao, Wenpin Tang

CoRR, 2024

Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond.

Wenpin Tang

CoRR, 2024

Score-based Diffusion Models via Stochastic Differential Equations - a Technical Tutorial.

Wenpin Tang, Hanyang Zhao

CoRR, 2024

Contractive Diffusion Probabilistic Models.

Wenpin Tang, Hanyang Zhao

CoRR, 2024

2023

Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds.

Didong Li, Wenpin Tang, Sudipto Banerjee

J. Mach. Learn. Res., 2023

Transaction fee mechanism for Proof-of-Stake protocol.

Wenpin Tang, David D. Yao

CoRR, 2023

Policy iteration for the deterministic control problems - a viscosity approach.

Wenpin Tang, Hung Vinh Tran, Yuming Paul Zhang

CoRR, 2023

Policy Optimization for Continuous Reinforcement Learning.

Hanyang Zhao, Wenpin Tang, David D. Yao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Exploratory HJB Equations and Their Convergence.

Wenpin Tang, Yuming Paul Zhang, Xun Yu Zhou

SIAM J. Control. Optim., 2022

A Class of Stochastic Games and Moving Free Boundary Problems.

Xin Guo, Wenpin Tang, Renyuan Xu

SIAM J. Control. Optim., 2022

Asset selection via correlation blockmodel clustering.

Wenpin Tang, Xiao Xu, Xun Yu Zhou

Expert Syst. Appl., 2022

2021

Arcsine laws for random walks generated from random permutations with applications to genomics.

Xiao Fang, Han L. Gan, Susan P. Holmes, Haiyan Huang, Erol Peköz, Adrian Röllin, Wenpin Tang

J. Appl. Probab., 2021

2020

Learning an arbitrary mixture of two multinomial logits.

Wenpin Tang

CoRR, 2020

Perturbed gradient descent with occupation time.

Xin Guo, Jiequn Han, Wenpin Tang

CoRR, 2020

The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application.

Wenpin Tang, Xin Guo, Fengmin Tang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Exponential ergodicity and convergence for generalized reflected Brownian motion.

Wenpin Tang

Queueing Syst. Theory Appl., 2019

Consistency of the Buckley-Osthus model and the hierarchical preferential attachment model.

Xin Guo, Fengmin Tang, Wenpin Tang

CoRR, 2019

Mallows ranking models: maximum likelihood estimate and regeneration.

Wenpin Tang

Proceedings of the 36th International Conference on Machine Learning, 2019