1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
The Crucial Role of Normalization in Sharpness-Aware Minimization
Yan Dai, Kwangjun Ahn, Suvrit Sra
Sharpness-Aware Minimization (SAM) is a recently proposed gradient-based optimizer (Foret et al., ICLR 2021) that greatly improves the prediction performance of deep neural network…
Joint k-TE Space Image Reconstruction and Data Fitting for T2 Mapping
Yan Dai, Xun Jia, Yen-Peng Liao +2
Objectives: To develop a joint k-TE reconstruction algorithm to reconstruct the T2-weighted (T2W) images and T2 map simultaneously. Materials and Methods: The joint k-TE reconstruc…
Refined Regret for Adversarial MDPs with Linear Function Approximation
Yan Dai, Haipeng Luo, Chen-Yu Wei +1
We consider learning in an adversarial Markov Decision Process (MDP) where the loss functions can change arbitrarily over episodes and the state space can be arbitrarily large.…
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
Jiatai Huang, Yan Dai, Longbo Huang
We propose Banker Online Mirror Descent (Banker-OMD), a novel framework generalizing the classical Online Mirror Descent (OMD) technique in the online learning literature. The Bank…