Scholar
TaeHo Yoon
Google Scholar ID: f0B1Zr8AAAAJ
Johns Hopkins University
Citations & Impact
Citations
385
H-index
8
i10-index
8
Publications
12
Co-authors
0
Resume (English only)
Academic Achievements
- Multiplayer Federated Learning: Reaching Equilibrium with Less Communication (Manuscript)
- Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique (ICML 2024 Spotlight)
- Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback (NeurIPS 2023)
- Diffusion Probabilistic Models Generalize when They Fail to Memorize (ICMLW 2023)
- Accelerated Minimax Algorithms Flock Together (SIAM Journal on Optimization)
- Robust Probabilistic Time Series Forecasting (AISTATS 2022)
- Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm (ICML 2021 Long talk)
- WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points (ICML 2021)
Research Experience
- Rufus Isaacs Postdoctoral Fellow, Department of Applied Mathematics & Statistics, Johns Hopkins University
Background
- Rufus Isaacs Postdoctoral Fellow at Johns Hopkins University, Department of Applied Mathematics & Statistics. Studies optimization and theoretical aspects of machine learning.
Miscellany
- Github, Twitter, Scholar
Co-authors