Alexander Bukharin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Spatio Temporal Data

Upper Confidence Bound

Reinforcement Learning

Top Venues

IEEE J. Sel. Top. Signal Process.

ACM Trans. Manag. Inf. Syst.

Publications

Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback. CoRR (2024)
Alexander Bukharin, Ilgee Hong, Haoming Jiang, Qingru Zhang, Zixuan Zhang, Tuo Zhao
Robust Reinforcement Learning from Corrupted Human Feedback. CoRR (2024)
Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. ICLR (2023)
Alexander Bukharin, Yixiao Li, Pengcheng He, Weizhu Chen, Tuo Zhao
Deep Reinforcement Learning from Hierarchical Weak Preference Feedback. CoRR (2023)
Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
Machine Learning Force Fields with Data Cost Aware Training. CoRR (2023)
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. CoRR (2023)
Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
Machine Learning Force Fields with Data Cost Aware Training. ICML (2023)
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. NeurIPS (2023)
Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. CoRR (2023)
Alexander Bukharin, Tuo Zhao
Data Diversity Matters for Robust Instruction Tuning. CoRR (2023)
Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. CoRR (2022)
Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. ICML (2022)
Shixiang Zhu, Alexander Bukharin, Liyan Xie, Khurram Yamin, Shihao Yang, Pinar Keskinocak, Yao Xie
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. IEEE J. Sel. Top. Signal Process. 16 (2) (2022)
Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie
High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S. ACM Trans. Manag. Inf. Syst. 12 (4) (2021)
Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. CoRR (2021)