Jerry Zhu

According to our database, Jerry Zhu authored at least 16 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions.

Yun-Shiuan Chuang, Jerry Zhu, Timothy T. Rogers

CoRR, 2024

Inception: Efficiently Computable Misinformation Attacks on Markov Games.

Jeremy McMahan, Young Wu, Yudong Chen, Jerry Zhu, Qiaomin Xie

RLJ, 2024

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value.

Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Dream the Impossible: Outlier Imagination with Diffusion Models.

Xuefeng Du, Yiyou Sun, Jerry Zhu, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mechanism Design for Collaborative Normal Mean Estimation.

Yiding Chen, Jerry Zhu, Kirthevasan Kandasamy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Non-parametric Outlier Synthesis.

Leitian Tao, Xuefeng Du, Jerry Zhu, Yixuan Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Provable Defense against Backdoor Policies in Reinforcement Learning.

Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Jerry Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Corruption-Robust Offline Reinforcement Learning.

Xuezhou Zhang, Yiding Chen, Jerry Zhu, Wen Sun

CoRR, 2021

Policy Gradient Bayesian Robust Optimization for Imitation Learning.

Zaynah Javed, Daniel S. Brown, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca D. Dragan, Ken Goldberg

Proceedings of the 38th International Conference on Machine Learning, 2021

Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners.

Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Jerry Zhu

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Enhancing generalization through an optimized sequential curriculum: Learning (to read) through machine teaching.

Matthew Cooper Borkenhagen, Ayon Sen, Mark S. Seidenberg, Jerry Zhu, Christopher R. Cox

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Policy Poisoning in Batch Reinforcement Learning and Control.

Yuzhe Ma, Xuezhou Zhang, Wen Sun, Jerry Zhu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning.

Xuanqing Liu, Si Si, Jerry Zhu, Yang Li, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

For Teaching Perceptual Fluency, Machines Beat Human Experts.

Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Jerry Zhu

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2014

Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models.

Shike Mei, Jun Zhu, Jerry Zhu

Proceedings of the 31th International Conference on Machine Learning, 2014

2006

Implementation & evaluation of an IDS to safeguard OLSR integrity in MANETs.

Danny Dhillon, Jerry Zhu, John Richards, Tejinder S. Randhawa

Proceedings of the International Conference on Wireless Communications and Mobile Computing, 2006