Wenpin Tang

According to our database, Wenpin Tang authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

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