Taeho Yoon

most citedRobust Probabilistic Time Series Forecasting

3 citations · 3 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 3 cited

Robust Probabilistic Time Series Forecasting

TaeHo Yoon, Youngsuk Park, Ernest K. Ryu +1

Probabilistic time series forecasting has played critical role in decision-making processes due to its capability to quantify uncertainties. Deep forecasting models, however, could…

math.OC2021

Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with $O (1/ k^{2})$ Rate on Squared Gradient Norm

TaeHo Yoon, Ernest K. Ryu

In this work, we study the computational complexity of reducing the squared gradient magnitude for smooth minimax optimization problems. First, we present algorithms with accelerat…

cs.LG2021

WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points

Albert No, TaeHo Yoon, Sehyun Kwon +1

Generative adversarial networks (GAN) are a widely used class of deep generative models, but their minimax training dynamics are not understood very well. In this work, we show tha…

Robust Probabilistic Time Series Forecasting

Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k2) Rate on Squared Gradient Norm

WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points

Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with $O (1/ k^{2})$ Rate on Squared Gradient Norm