Banghua Zhu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 56

Top Topics

Tensor Decomposition

Reinforcement Learning

Robust Statistics

Robust Estimation

Top Venues

IEEE Trans. Inf. Theory

Publications

Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
Fairness in Serving Large Language Models. OSDI (2024)
Banghua Zhu, Norman Mu, Jiantao Jiao, David A. Wagner
Generative AI Security: Challenges and Countermeasures. CoRR (2024)
Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
Fairness in Serving Large Language Models. CoRR (2024)
Banghua Zhu, Michael I. Jordan, Jiantao Jiao
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF. CoRR (2024)
Hanlin Zhu, Banghua Zhu, Jiantao Jiao
Efficient Prompt Caching via Embedding Similarity. CoRR (2024)
Qingyue Zhao, Banghua Zhu
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains. ICLR (2024)
Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan
The Effective Horizon Explains Deep RL Performance in Stochastic Environments. ICLR (2024)
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. CoRR (2024)
Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
Noisy Computing of the OR and MAX Functions. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. ICRA (2024)
Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline. CoRR (2024)
Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang
Noisy Computing of the Threshold Function. CoRR (2024)
Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph Gonzalez, Ion Stoica
SLoRA: Scalable Serving of Thousands of LoRA Adapters. MLSys (2024)
Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
Noisy Computing of the OR and MAX Functions. CoRR (2023)
Qingyue Zhao, Banghua Zhu
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains. CoRR (2023)
Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan
Byzantine-Robust Federated Learning with Optimal Statistical Rates. AISTATS (2023)
Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao
Doubly Robust Self-Training. CoRR (2023)
Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I. Jordan, Jiantao Jiao
Fine-Tuning Language Models with Advantage-Induced Policy Alignment. CoRR (2023)
Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao
Doubly-Robust Self-Training. NeurIPS (2023)
Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael I. Jordan
Online Learning in Stackelberg Games with an Omniscient Follower. ICML (2023)
Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources. CoRR (2023)
Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark W. Barrett, Michael I. Jordan, Jiantao Jiao
On Optimal Caching and Model Multiplexing for Large Model Inference. CoRR (2023)
Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
Jump-Start Reinforcement Learning. ICML (2023)
Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
On the Optimal Bounds for Noisy Computing. CoRR (2023)
Tianhao Wu, Banghua Zhu, Ruoyu Zhang, Zhaojin Wen, Kannan Ramchandran, Jiantao Jiao
Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment. CoRR (2023)
Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan
The Effective Horizon Explains Deep RL Performance in Stochastic Environments. CoRR (2023)
Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
On the Optimal Bounds for Noisy Computing. ISIT (2023)
Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
The Sample Complexity of Online Contract Design. EC (2023)
Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark W. Barrett, Michael I. Jordan, Jiantao Jiao
Towards Optimal Caching and Model Selection for Large Model Inference. NeurIPS (2023)
Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica
S-LoRA: Serving Thousands of Concurrent LoRA Adapters. CoRR (2023)
Baihe Huang, Banghua Zhu, Hanlin Zhu, Jason D. Lee, Jiantao Jiao, Michael I. Jordan
Towards Optimal Statistical Watermarking. CoRR (2023)
Banghua Zhu, Jiantao Jiao, Michael I. Jordan
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons. CoRR (2023)
Banghua Zhu, Sai Praneeth Karimireddy, Jiantao Jiao, Michael I. Jordan
Online Learning in a Creator Economy. CoRR (2023)
Banghua Zhu, Michael I. Jordan, Jiantao Jiao
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons. ICML (2023)
Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang
Variable-Length Insertion-Based Noisy Sorting. ISIT (2023)
Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. CoRR (2023)
Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael I. Jordan
Online Learning in Stackelberg Games with an Omniscient Follower. CoRR (2023)
Banghua Zhu, Jiantao Jiao, Michael I. Jordan
Robust Estimation for Non-parametric Families via Generative Adversarial Networks. ISIT (2022)
Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees. CoRR (2022)
Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
Minimax Off-Policy Evaluation for Multi-Armed Bandits. IEEE Trans. Inf. Theory 68 (8) (2022)
Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
Jump-Start Reinforcement Learning. CoRR (2022)
Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
The Sample Complexity of Online Contract Design. CoRR (2022)
Banghua Zhu, Jiantao Jiao, Michael I. Jordan
Robust Estimation for Nonparametric Families via Generative Adversarial Networks. CoRR (2022)
Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. IEEE Trans. Inf. Theory 68 (12) (2022)
Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. NeurIPS (2021)
Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. CoRR (2021)
Matt Peng, Banghua Zhu, Jiantao Jiao
Linear Representation Meta-Reinforcement Learning for Instant Adaptation. CoRR (2021)
Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
Minimax Off-Policy Evaluation for Multi-Armed Bandits. CoRR (2021)
Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
When does the Tukey median work? CoRR (2020)
Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
When does the Tukey Median work? ISIT (2020)
Banghua Zhu, Jiantao Jiao, David Tse
Deconstructing Generative Adversarial Networks. IEEE Trans. Inf. Theory 66 (11) (2020)
Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
Robust estimation via generalized quasi-gradients. CoRR (2020)
Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
Generalized Resilience and Robust Statistics. CoRR (2019)
Banghua Zhu, Jintao Wang, Longzhuang He, Jian Song
Joint Transceiver Optimization for Wireless Communication PHY Using Neural Network. IEEE J. Sel. Areas Commun. 37 (6) (2019)
Banghua Zhu, Jiantao Jiao, David Tse
Deconstructing Generative Adversarial Networks. CoRR (2019)
Abolfazl Hashemi, Banghua Zhu, Haris Vikalo
Sparse Tensor Decomposition for Haplotype Assembly of Diploids and Polyploids. BCB (2017)