Chen, Xinyi

28 publications

ICML 2025 Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-Stochastic Networks Liyuan Liang, Xinyi Chen, Gan Luo, Kun Yuan

ICML 2025 Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning Under Preference Guidance Lisha Chen, Quan Xiao, Ellen Hidemi Fukuda, Xinyi Chen, Kun Yuan, Tianyi Chen

CVPR 2025 GENMANIP: LLM-Driven Simulation for Generalizable Instruction-Following Manipulation Ning Gao, Yilun Chen, Shuai Yang, Xinyi Chen, Yang Tian, Hao Li, Haifeng Huang, Hanqing Wang, Tai Wang, Jiangmiao Pang

IJCAI 2025 Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu

ICML 2025 Provable Length Generalization in Sequence Prediction via Spectral Filtering Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan

CVPR 2025 RoboGround: Robotic Manipulation with Grounded Vision-Language Priors Haifeng Huang, Xinyi Chen, Yilun Chen, Hao Li, Xiaoshen Han, Zehan Wang, Tai Wang, Jiangmiao Pang, Zhou Zhao

ICLR 2025 Toward Understanding In-Context vs. In-Weight Learning Bryan Chan, Xinyi Chen, András György, Dale Schuurmans

ICLR 2024 Adaptive Regret for Bandits Made Possible: Two Queries Suffice Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David Woodruff, Elad Hazan

ICMLW 2024 Meta-Optimization for Deep Learning via Nonstochastic Control Xinyi Chen, Evan Dogariu, Zhou Lu, Elad Hazan

ICMLW 2024 Nonconvex Meta-Optimization for Deep Learning Xinyi Chen, Evan Dogariu, Zhou Lu, Elad Hazan

COLT 2024 Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization Xinyi Chen, Elad Hazan

ICMLW 2024 Playing Large Games with Oracles and AI Debate Xinyi Chen, Angelica Chen, Dean Foster, Elad Hazan

NeurIPS 2024 Preference Learning Algorithms Do Not Learn Preference Rankings Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho

ICMLW 2024 Preference Learning Algorithms Do Not Learn Preference Rankings Angelica Chen, Sadhika Malladi, Lily H Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho

ICMLW 2024 Preference Learning Algorithms Do Not Learn Preference Rankings Angelica Chen, Sadhika Malladi, Lily H Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho

ICMLW 2024 Spectral State Space Models Naman Agarwal, Daniel Suo, Xinyi Chen, Elad Hazan

NeurIPS 2023 Online Control for Meta-Optimization Xinyi Chen, Elad Hazan

L4DC 2023 Regret Guarantees for Online Deep Control Xinyi Chen, Edgar Minasyan, Jason D. Lee, Elad Hazan

NeurIPS 2023 Sketchy: Memory-Efficient Adaptive Regularization with Frequent Directions Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan

L4DC 2022 Robust Online Control with Model Misspecification Udaya Ghai, Xinyi Chen, Elad Hazan, Alexandre Megretski

COLT 2021 Black-Box Control for Linear Dynamical Systems Xinyi Chen, Elad Hazan

CVPR 2021 Unsupervised 3D Shape Completion Through GAN Inversion Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy

CVPR 2021 Variational Relational Point Completion Network Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu

ICML 2020 Calibration, Entropy Rates, and Memory in Language Models Mark Braverman, Xinyi Chen, Sham Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang

ICLR 2020 Extreme Tensoring for Low-Memory Preconditioning Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang

NeurIPS 2020 Online Agnostic Boosting via Regret Minimization Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran

ICML 2019 Efficient Full-Matrix Adaptive Regularization Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang

NeurIPS 2018 Online Learning of Quantum States Scott Aaronson, Xinyi Chen, Elad Hazan, Satyen Kale, Ashwin Nayak