Zhang, Jingzhao

42 publications

NeurIPS 2025 Data Mixing Can Induce Phase Transitions in Knowledge Acquisition Xinran Gu, Kaifeng Lyu, Jiazheng Li, Jingzhao Zhang

ICLRW 2025 Data Mixing Can Induce Phase Transitions in Knowledge Acquisition Xinran Gu, Kaifeng Lyu, Jiazheng Li, Jingzhao Zhang

COLT 2025 Fast and Multiphase Rates for Nearest Neighbor Classifiers Pengkun Yang, Jingzhao Zhang

NeurIPS 2025 Finite Sample Analyses for Continuous-Time Linear Systems: System Identification and Online Control Hongyi Zhou, Jingwei Li, Jingzhao Zhang

ICLR 2025 From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency Kaiyue Wen, Huaqing Zhang, Hongzhou Lin, Jingzhao Zhang

AISTATS 2025 Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization Peiyuan Zhang, Jiaye Teng, Jingzhao Zhang

JMLR 2025 Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles Lesi Chen, Yaohua Ma, Jingzhao Zhang

ICML 2025 Scalable Model Merging with Progressive Layer-Wise Distillation Jing Xu, Jiazheng Li, Jingzhao Zhang

ICLR 2025 Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen, Chengchang Liu, Jingzhao Zhang

COLT 2025 Solving Convex-Concave Problems with $\mathcal{O}(\epsilon^{-4/7})$ Second-Order Oracle Complexity Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang

ICML 2025 Task Generalization with Autoregressive Compositional Structure: Can Learning from $d$ Tasks Generalize to $D^T$ Tasks? Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen, Hongzhou Lin, Jingzhao Zhang, Mikhail Belkin

ICML 2025 Towards Black-Box Membership Inference Attack for Diffusion Models Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang

ICLRW 2025 Towards Black-Box Membership Inference Attack for Diffusion Models Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang

ICML 2025 Understanding Nonlinear Implicit Bias via Region Counts in Input Space Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

ICLR 2024 A Quadratic Synchronization Rule for Distributed Deep Learning Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang

NeurIPSW 2024 From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency Kaiyue Wen, Huaqing Zhang, Hongzhou Lin, Jingzhao Zhang

NeurIPS 2024 Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang

COLT 2024 On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis Lesi Chen, Jing Xu, Jingzhao Zhang

NeurIPS 2024 Online Control with Adversarial Disturbance for Continuous-Time Linear Systems Jingwei Li, Jing Dong, Can Chang, Baoxiang Wang, Jingzhao Zhang

UAI 2024 Online Policy Optimization for Robust Markov Decision Process Jing Dong, Jingwei Li, Baoxiang Wang, Jingzhao Zhang

ICML 2024 Random Masking Finds Winning Tickets for Parameter Efficient Fine-Tuning Jing Xu, Jingzhao Zhang

ICMLW 2024 Understanding Nonlinear Implicit Bias via Region Counts in Input Space Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

NeurIPSW 2023 A Quadratic Synchronization Rule for Distributed Deep Learning Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang

ICLR 2023 Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models Kaiyue Wen, Jiaye Teng, Jingzhao Zhang

NeurIPS 2023 Fast Conditional Mixing of MCMC Algorithms for Non-Log-Concave Distributions Xiang Cheng, Bohan Wang, Jingzhao Zhang, Yusong Zhu

NeurIPS 2023 Iteratively Learn Diverse Strategies with State Distance Information Wei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, Yi Wu

NeurIPS 2023 On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective Zeke Xie, Zhiqiang Xu, Jingzhao Zhang, Issei Sato, Masashi Sugiyama

ICMLW 2023 Online Control with Adversarial Disturbance for Continuous-Time Linear Systems Jingwei Li, Jing Dong, Baoxiang Wang, Jingzhao Zhang

NeurIPSW 2023 Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm Peiyuan Zhang, Jingzhao Zhang, Suvrit Sra

ICML 2022 Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie

NeurIPS 2022 Efficient Sampling on Riemannian Manifolds via Langevin MCMC Xiang Cheng, Jingzhao Zhang, Suvrit Sra

ICML 2022 Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie

NeurIPSW 2022 Online Policy Optimization for Robust MDP Jing Dong, Jingwei Li, Baoxiang Wang, Jingzhao Zhang

ICML 2022 Understanding the Unstable Convergence of Gradient Descent Kwangjun Ahn, Jingzhao Zhang, Suvrit Sra

NeurIPS 2021 Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie

ICLR 2021 Coping with Label Shift via Distributionally Robust Optimisation Jingzhao Zhang, Aditya Krishna Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra

NeurIPS 2021 Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang

ICML 2021 Provably Efficient Algorithms for Multi-Objective Competitive RL Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra

ICML 2020 Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions Jingzhao Zhang, Hongzhou Lin, Stefanie Jegelka, Suvrit Sra, Ali Jadbabaie

NeurIPS 2020 Why Are Adaptive Methods Good for Attention Models? Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank Reddi, Sanjiv Kumar, Suvrit Sra

ICLR 2020 Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity Jingzhao Zhang, Tianxing He, Suvrit Sra, Ali Jadbabaie

NeurIPS 2018 Direct Runge-Kutta Discretization Achieves Acceleration Jingzhao Zhang, Aryan Mokhtari, Suvrit Sra, Ali Jadbabaie