Cho-Jui Hsieh
University of California, Los Angeles
H-index: 76
North America-United States
Top articles of Cho-Jui Hsieh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Entity disambiguation with extreme multi-label ranking | Jyun-Yu Jiang Wei-Cheng Chang Jiong Zhang Cho-Jui Hsieh Hsiang-Fu Yu | 2024 | |
A Computationally Efficient Sparsified Online Newton Method | Advances in Neural Information Processing Systems | Fnu Devvrit Sai Surya Duvvuri Rohan Anil Vineet Gupta Cho-Jui Hsieh | 2024/2/13 |
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? | Advances in Neural Information Processing Systems | Zixiang Chen Junkai Zhang Yiwen Kou Xiangning Chen Cho-Jui Hsieh | 2024/2/13 |
Low-rank Matrix Bandits with Heavy-tailed Rewards | arXiv preprint arXiv:2404.17709 | Yue Kang Cho-Jui Hsieh Thomas Lee | 2024/4/26 |
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers | arXiv preprint arXiv:2402.16914 | Xirui Li Ruochen Wang Minhao Cheng Tianyi Zhou Cho-Jui Hsieh | 2024/2/25 |
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models? | arXiv preprint arXiv:2402.08096 | Andrew Bai Chih-Kuan Yeh Cho-Jui Hsieh Ankur Taly | 2024/2/12 |
Temporal shuffling for defending deep action recognition models against adversarial attacks | Neural Networks | Jaehui Hwang Huan Zhang Jun-Ho Choi Cho-Jui Hsieh Jong-Seok Lee | 2024/1/1 |
Universality and limitations of prompt tuning | Advances in Neural Information Processing Systems | Yihan Wang Jatin Chauhan Wei Wang Cho-Jui Hsieh | 2024/2/13 |
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning | arXiv preprint arXiv:2402.15751 | Yong Liu Zirui Zhu Chaoyu Gong Minhao Cheng Cho-Jui Hsieh | 2024/2/24 |
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation for Efficient Synthesis and Verification | arXiv preprint arXiv:2404.07956 | Lujie Yang Hongkai Dai Zhouxing Shi Cho-Jui Hsieh Russ Tedrake | 2024/4/11 |
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning | arXiv preprint arXiv:2402.01057 | Chia-Cheng Chiang Li-Cheng Lan Wei-Fang Sun Chien Feng Cho-Jui Hsieh | 2024/2/1 |
Robust lipschitz bandits to adversarial corruptions | Advances in Neural Information Processing Systems | Yue Kang Cho-Jui Hsieh Thomas Chun Man Lee | 2024/2/13 |
Red teaming language model detectors with language models | Transactions of the Association for Computational Linguistics | Zhouxing Shi Yihan Wang Fan Yin Xiangning Chen Kai-Wei Chang | 2024/2/23 |
Adversarial Examples Detection With Bayesian Neural Network | IEEE Transactions on Emerging Topics in Computational Intelligence | Yao Li Tongyi Tang Cho-Jui Hsieh Thomas CM Lee | 2024/3/18 |
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation | arXiv preprint arXiv:2401.09031 | Tong Xie Haoyu Li Andrew Bai Cho-Jui Hsieh | 2024/1/17 |
Symbolic discovery of optimization algorithms | Advances in Neural Information Processing Systems | Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang | 2024/2/13 |
Mulan: Multimodal-llm agent for progressive multi-object diffusion | arXiv preprint arXiv:2402.12741 | Sen Li Ruochen Wang Cho-Jui Hsieh Minhao Cheng Tianyi Zhou | 2024/2/20 |
PEFA: ParamEter-Free Adapters for large-scale embedding-based retrieval models | Wei-Cheng Chang Jyun-Yu Jiang Jiong Zhang Mutasem Al-Darabsah Choon Hui Teo | 2024/3/4 | |
Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits | arXiv preprint arXiv:2302.09440 | Yue Kang Cho-Jui Hsieh Thomas Lee | 2023/2/18 |
Effective robustness against natural distribution shifts for models with different training data | Advances in Neural Information Processing Systems | Zhouxing Shi Nicholas Carlini Ananth Balashankar Ludwig Schmidt Cho-Jui Hsieh | 2024/2/13 |
