Zheng, Zeyu

24 publications

ICML 2025 Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng

CHIL 2024 Daily Physical Activity Monitoring: Adaptive Learning from Multi-Source Motion Sensor Data Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Shen, Zeyu Zheng

CoLLAs 2024 Disentangling the Causes of Plasticity Loss in Neural Networks Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney

ICML 2024 Generalized Preference Optimization: A Unified Approach to Offline Alignment Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Remi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Avila Pires, Bilal Piot

ICML 2024 Human Alignment of Large Language Models Through Online Preference Optimisation Daniele Calandriello, Zhaohan Daniel Guo, Remi Munos, Mark Rowland, Yunhao Tang, Bernardo Avila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot

NeurIPS 2024 Normalization and Effective Learning Rates in Reinforcement Learning Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney

AISTATS 2024 Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays Yifu Tang, Yingfei Wang, Zeyu Zheng

NeurIPS 2023 Contextual Gaussian Process Bandits with Neural Networks Haoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Shen, Zeyu Zheng

NeurIPSW 2023 Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language Yunkai Zhang, Yawen Zhang, Ming Zheng, Kezhen Chen, Chongyang Gao, Ruian Ge, Siyuan Teng, Amine Jelloul, Jinmeng Rao, Xiaoyuan Guo, Chiang-Wei Fang, Zeyu Zheng, Jie Yang

NeurIPS 2023 Non-Stationary Experimental Design Under Linear Trends David Simchi-Levi, Chonghuan Wang, Zeyu Zheng

NeurIPS 2023 Stochastic Multi-Armed Bandits: Optimal Trade-Off Among Optimality, Consistency, and Tail Risk David Simchi-Levi, Zeyu Zheng, Feng Zhu

ICML 2023 Understanding Plasticity in Neural Networks Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney

NeurIPS 2022 A Simple and Optimal Policy Design for Online Learning with Safety Against Heavy-Tailed Risk David Simchi-Levi, Zeyu Zheng, Feng Zhu

AAAI 2022 Adaptive Pairwise Weights for Temporal Credit Assignment Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh

NeurIPS 2022 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization Tianyi Lin, Zeyu Zheng, Michael I. Jordan

NeurIPSW 2022 Mind Your Step: Continuous Conditional GANs with Generator Regularization Yunkai Zhang, Yufeng Zheng, Xueying Ma, Siyuan Teng, Zeyu Zheng

AISTATS 2021 On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification Tianyi Lin, Zeyu Zheng, Elynn Chen, Marco Cuturi, Michael I. Jordan

ICML 2021 Dynamic Planning and Learning Under Recovering Rewards David Simchi-Levi, Zeyu Zheng, Feng Zhu

NeurIPSW 2021 GrASP: Gradient-Based Affordance Selection for Planning Vivek Veeriah, Zeyu Zheng, Richard Lewis, Satinder Singh

NeurIPS 2021 Learning State Representations from Random Deep Action-Conditional Predictions Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L Lewis, Satinder P. Singh

NeurIPS 2021 Stochastic $L^\natural$-Convex Function Minimization Haixiang Zhang, Zeyu Zheng, Javad Lavaei

ICML 2020 What Can Learned Intrinsic Rewards Capture? Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado Van Hasselt, David Silver, Satinder Singh

ICML 2020 When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment Feng Zhu, Zeyu Zheng

NeurIPS 2018 On Learning Intrinsic Rewards for Policy Gradient Methods Zeyu Zheng, Junhyuk Oh, Satinder Singh