Mallows ranking models: maximum likelihood estimate and regeneration. - Wenpin Tang (ICML, 2019)

Consistency of the Buckley-Osthus model and the hierarchical preferential attachment model. - Xin Guo; Fengmin Tang; Wenpin Tang (CoRR, 2019)

Exponential ergodicity and convergence for generalized reflected Brownian motion. - Wenpin Tang (Queueing Syst. Theory Appl., 2019)

The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application. - Wenpin Tang; Xin Guo; Fengmin Tang (ICML, 2020)

Perturbed gradient descent with occupation time. - Xin Guo; Jiequn Han; Wenpin Tang (CoRR, 2020)

Learning an arbitrary mixture of two multinomial logits. - Wenpin Tang (CoRR, 2020)

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)

Asset selection via correlation blockmodel clustering. - Wenpin Tang; Xiao Xu; Xun Yu Zhou (Expert Syst. Appl., 2022)

A Class of Stochastic Games and Moving Free Boundary Problems. - Xin Guo 001; Wenpin Tang; Renyuan Xu (SIAM J. Control. Optim., 2022)

Exploratory HJB Equations and Their Convergence. - Wenpin Tang; Yuming Paul Zhang; Xun Yu Zhou (SIAM J. Control. Optim., 2022)

Policy Optimization for Continuous Reinforcement Learning. - Hanyang Zhao; Wenpin Tang; David D. Yao (NeurIPS, 2023)

Policy iteration for the deterministic control problems - a viscosity approach. - Wenpin Tang; Hung Vinh Tran; Yuming Paul Zhang (CoRR, 2023)

Transaction fee mechanism for Proof-of-Stake protocol. - Wenpin Tang; David D. Yao (CoRR, 2023)

Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds. - Didong Li; Wenpin Tang; Sudipto Banerjee (J. Mach. Learn. Res., 2023)

Contractive Diffusion Probabilistic Models. - Wenpin Tang; Hanyang Zhao (CoRR, 2024)

Score-based Diffusion Models via Stochastic Differential Equations - a Technical Tutorial. - Wenpin Tang; Hanyang Zhao (CoRR, 2024)

Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond. - Wenpin Tang (CoRR, 2024)

Mallows-DPO: Fine-Tune Your LLM with Preference Dispersions. - Haoxian Chen 002; Hanyang Zhao; Henry Lam; David D. Yao; Wenpin Tang (CoRR, 2024)

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning. - Hanyang Zhao; Haoxian Chen 002; Ji Zhang; David D. Yao; Wenpin Tang (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 001; Sambit Sahu (CoRR, 2024)

RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization. - Hanyang Zhao; Genta Indra Winata; Anirban Das; Shi-Xiong Zhang 001; David D. Yao; Wenpin Tang; Sambit Sahu (CoRR, 2024)

Regret of exploratory policy improvement and q-learning. - Wenpin Tang; Xun Yu Zhou (CoRR, 2024)

MallowsPO: Fine-Tune Your LLM with Preference Dispersions. - Haoxian Chen 002; Hanyang Zhao; Henry Lam; David D. Yao; Wenpin Tang (ICLR, 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 (ICLR, 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)

Polynomial Voting Rules. - Wenpin Tang; David D. Yao (Math. Oper. Res., 2025)

Policy Iteration for the Deterministic Control Problems - A Viscosity Approach. - Wenpin Tang; Hung V. Tran; Yuming Paul Zhang (SIAM J. Control. Optim., 2025)

The Convergence Rate of Vanishing Viscosity Approximations for Mean Field Games. - Wenpin Tang; Yuming Paul Zhang (SIAM J. Math. Anal., 2025)

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning. - Hanyang Zhao; Haoxian Chen 002; Ji Zhang; David D. Yao; Wenpin Tang (CoRR, 2025)

Fine-Tuning Diffusion Generative Models via Rich Preference Optimization. - Hanyang Zhao; Haoxian Chen 002; Yucheng Guo; Genta Indra Winata; Tingting Ou; Ziyu Huang; David D. Yao; Wenpin Tang (CoRR, 2025)