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2020 – today
- 2024
[c14]Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie:
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. ICML 2024- [c13]Jeremy McMahan, Young Wu, Yudong Chen, Jerry Zhu, Qiaomin Xie:
Inception: Efficiently Computable Misinformation Attacks on Markov Games. RLC 2024: 2345-2358 - [i3]Yun-Shiuan Chuang, Jerry Zhu, Timothy T. Rogers:
The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions. CoRR abs/2402.13927 (2024) - 2023
- [c12]Leitian Tao, Xuefeng Du, Jerry Zhu, Yixuan Li:
Non-parametric Outlier Synthesis. ICLR 2023 - [c11]Yiding Chen, Jerry Zhu, Kirthevasan Kandasamy:
Mechanism Design for Collaborative Normal Mean Estimation. NeurIPS 2023 - [c10]Xuefeng Du, Yiyou Sun, Jerry Zhu, Yixuan Li:
Dream the Impossible: Outlier Imagination with Diffusion Models. NeurIPS 2023 - 2022
- [c9]Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Jerry Zhu:
Provable Defense against Backdoor Policies in Reinforcement Learning. NeurIPS 2022 - 2021
- [c8]Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Jerry Zhu:
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CogSci 2021 - [c7]Zaynah Javed, Daniel S. Brown, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca D. Dragan, Ken Goldberg:
Policy Gradient Bayesian Robust Optimization for Imitation Learning. ICML 2021: 4785-4796 - [i2]Zaynah Javed, Daniel S. Brown, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca D. Dragan, Ken Goldberg:
Policy Gradient Bayesian Robust Optimization for Imitation Learning. CoRR abs/2106.06499 (2021) - [i1]Xuezhou Zhang, Yiding Chen, Jerry Zhu, Wen Sun:
Corruption-Robust Offline Reinforcement Learning. CoRR abs/2106.06630 (2021) - 2020
- [c6]Matthew Cooper Borkenhagen, Ayon Sen, Mark S. Seidenberg, Jerry Zhu, Christopher R. Cox:
Enhancing generalization through an optimized sequential curriculum: Learning (to read) through machine teaching. CogSci 2020
2010 – 2019
- 2019
- [c5]Xuanqing Liu, Si Si, Jerry Zhu, Yang Li, Cho-Jui Hsieh:
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. NeurIPS 2019: 9777-9787 - [c4]Yuzhe Ma, Xuezhou Zhang, Wen Sun, Jerry Zhu:
Policy Poisoning in Batch Reinforcement Learning and Control. NeurIPS 2019: 14543-14553 - 2018
- [c3]Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Jerry Zhu:
For Teaching Perceptual Fluency, Machines Beat Human Experts. CogSci 2018 - 2014
- [c2]Shike Mei, Jun Zhu, Jerry Zhu:
Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models. ICML 2014: 253-261
2000 – 2009
- 2006
- [c1]Danny Dhillon, Jerry Zhu, John Richards, Tejinder S. Randhawa:
Implementation & evaluation of an IDS to safeguard OLSR integrity in MANETs. IWCMC 2006: 45-50
Coauthor Index
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