no code implementations • 15 Apr 2024 • Jiachun Li, David Simchi-Levi, Yining Wang
Contextual bandit with linear reward functions is among one of the most extensively studied models in bandit and online learning research.
no code implementations • 28 Feb 2024 • Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao
Large language models exhibit high-level commonsense reasoning abilities, especially with enhancement methods like Chain-of-Thought (CoT).
no code implementations • 16 Jan 2024 • Jiachun Li, Kaining Shi, David Simchi-Levi
In this paper, we investigate the tradeoff between loss of social welfare and statistical power in contextual bandit experiment.
no code implementations • 10 Nov 2023 • Jianan Feng, Jiachun Li, Changqing Miao, Jianjun Huang, Wei You, Wenchang Shi, Bin Liang
Existing defense methods often necessitate modifications to the target model or result in unacceptable time overhead.
no code implementations • 9 Jun 2021 • Bin Liang, Jiachun Li, Jianjun Huang
Recently, the object detection based on deep learning has proven to be vulnerable to adversarial patch attacks.