From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Efficient Sequential Calibration with Error Bound
Zihan Zhang
The paper introduces an efficient randomized forecaster for online binary sequential calibration that achieves an expected calibration error of O(T^{2/3-ε}), improving upon the cla…
cs.LG2025
Settling the Sample Complexity of Online Reinforcement Learning
Zihan Zhang, Yuxin Chen, Jason D. Lee +1
A central issue lying at the heart of online reinforcement learning (RL) is data efficiency. While a number of recent works achieved asymptotically minimal regret in online RL, the…
stat.ML2024
Classification with Deep Neural Networks and Logistic Loss
Zihan Zhang, Lei Shi, Ding-Xuan Zhou
Deep neural networks (DNNs) trained with the logistic loss (i.e., the cross entropy loss) have made impressive advancements in various binary classification tasks. However, general…