Hong Ye Tan

15 papers A* 1Misc 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerated Regularized Wasserstein Proximal Sampling Algorithms.
CoRR
Hong Ye Tan, Stanley J. Osher, Wuchen Li
2026 A* conf
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds.
AAAI
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2025 J jnl
Dataset Distillation as Pushforward Optimal Quantization.
CoRR
Hong Ye Tan, Emma Slade
2025 J jnl
From Image Denoisers to Regularizing Imaging Inverse Problems: An Overview.
CoRR
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang
2025 J jnl
Preconditioned Regularized Wasserstein Proximal Sampling.
CoRR
Hong Ye Tan, Stanley J. Osher, Wuchen Li
2024 J jnl
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds.
CoRR
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2024 J jnl
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration.
Trans. Mach. Learn. Res.
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2024 J jnl
Provably Convergent Plug-and-Play Quasi-Newton Methods.
SIAM J. Imaging Sci.
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2024 J jnl
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation.
CoRR
Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2024 J jnl
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation.
Trans. Mach. Learn. Res.
Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2023 J jnl
Data-Driven Mirror Descent with Input-Convex Neural Networks.
SIAM J. Math. Data Sci.
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2023 J jnl
Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals.
CoRR
Hong Ye Tan, Stanley J. Osher, Wuchen Li
2023 J jnl
Provably Convergent Plug-and-Play Quasi-Newton Methods.
CoRR
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2023 Misc conf
Robust Data-Driven Accelerated Mirror Descent.
ICASSP
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb
2023 J jnl
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging.
CoRR
Marcello Carioni, Subhadip Mukherjee, Hong Ye Tan, Junqi Tang