Wenpin Tang

Orcid: 0000-0001-7228-1954

According to our database1, Wenpin Tang authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Score-based Diffusion Models via Stochastic Differential Equations - a Technical Tutorial.
CoRR, 2024

Contractive Diffusion Probabilistic Models.
CoRR, 2024

2023
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds.
J. Mach. Learn. Res., 2023

Transaction fee mechanism for Proof-of-Stake protocol.
CoRR, 2023

Policy iteration for the deterministic control problems - a viscosity approach.
CoRR, 2023

Policy Optimization for Continuous Reinforcement Learning.
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.
SIAM J. Control. Optim., 2022

A Class of Stochastic Games and Moving Free Boundary Problems.
SIAM J. Control. Optim., 2022

Asset selection via correlation blockmodel clustering.
Expert Syst. Appl., 2022

2021
Arcsine laws for random walks generated from random permutations with applications to genomics.
J. Appl. Probab., 2021

2020
Learning an arbitrary mixture of two multinomial logits.
CoRR, 2020

Perturbed gradient descent with occupation time.
CoRR, 2020

The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Exponential ergodicity and convergence for generalized reflected Brownian motion.
Queueing Syst. Theory Appl., 2019

Consistency of the Buckley-Osthus model and the hierarchical preferential attachment model.
CoRR, 2019

Mallows ranking models: maximum likelihood estimate and regeneration.
Proceedings of the 36th International Conference on Machine Learning, 2019


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