Jingzhao Zhang

Orcid: 0000-0003-2106-3724

According to our database¹, Jingzhao Zhang authored at least 46 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Time Series Prediction of Gas Emission in Coal Mining Face Based on Optimized Variational Mode Decomposition and SSA-LSTM.

[BibT_eX]

[DOI]

Sensors, October, 2024

From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency.

[BibT_eX]

[DOI]

CoRR, 2024

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Black-Box Membership Inference Attack for Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning.

[BibT_eX]

[DOI]

Jing Xu

Jingzhao Zhang

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

A Quadratic Synchronization Rule for Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis.

[BibT_eX]

[DOI]

Lesi Chen

Jing Xu

Jingzhao Zhang

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm.

[BibT_eX]

[DOI]

Peiyuan Zhang

Jingzhao Zhang

Suvrit Sra

SIAM J. Optim., December, 2023

Two Phases of Scaling Laws for Nearest Neighbor Classifiers.

[BibT_eX]

[DOI]

Pengkun Yang

Jingzhao Zhang

CoRR, 2023

Near-Optimal Fully First-Order Algorithms for Finding Stationary Points in Bilevel Optimization.

[BibT_eX]

[DOI]

Lesi Chen

Yaohua Ma

Jingzhao Zhang

CoRR, 2023

Online Control with Adversarial Disturbance for Continuous-time Linear Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization.

[BibT_eX]

[DOI]

Peiyuan Zhang

Jiaye Teng

Jingzhao Zhang

CoRR, 2023

On Bilevel Optimization without Lower-level Strong Convexity.

[BibT_eX]

[DOI]

Lesi Chen

Jing Xu

Jingzhao Zhang

CoRR, 2023

On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective.

[BibT_eX]

[DOI]

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

Iteratively Learn Diverse Strategies with State Distance Information.

[BibT_eX]

[DOI]

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

Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions.

[BibT_eX]

[DOI]

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

Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models.

[BibT_eX]

[DOI]

Kaiyue Wen

Jiaye Teng

Jingzhao Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Optimization Theory and Machine Learning Practice: Mind the Gap.

[BibT_eX]

[DOI]

Jingzhao Zhang

PhD thesis, 2022

Online Policy Optimization for Robust MDP.

[BibT_eX]

[DOI]

CoRR, 2022

Realistic Deep Learning May Not Fit Benignly.

[BibT_eX]

[DOI]

Kaiyue Wen

Jiaye Teng

Jingzhao Zhang

CoRR, 2022

Minimax in Geodesic Metric Spaces: Sion's Theorem and Algorithms.

[BibT_eX]

[DOI]

Peiyuan Zhang

Jingzhao Zhang

Suvrit Sra

CoRR, 2022

Detecting Electric Vehicle Battery Failure via Dynamic-VAE.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Sampling on Riemannian Manifolds via Langevin MCMC.

[BibT_eX]

[DOI]

Xiang Cheng

Jingzhao Zhang

Suvrit Sra

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

Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Understanding the unstable convergence of gradient descent.

[BibT_eX]

[DOI]

Kwangjun Ahn

Jingzhao Zhang

Suvrit Sra

Proceedings of the International Conference on Machine Learning, 2022

2021

Monitoring, Analyzing, and Modeling for Single Subsidence Basin in Coal Mining Areas Based on SAR Interferometry with L-Band Data.

[BibT_eX]

[DOI]

Sci. Program., 2021

On Convergence of Training Loss Without Reaching Stationary Points.

[BibT_eX]

[DOI]

CoRR, 2021

Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Federated Learning in the Presence of Arbitrary Device Unavailability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Provably Efficient Algorithms for Multi-Objective Competitive RL.

[BibT_eX]

[DOI]

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

Coping with Label Shift via Distributionally Robust Optimisation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Stochastic Optimization with Non-stationary Noise.

[BibT_eX]

[DOI]

CoRR, 2020

On Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions.

[BibT_eX]

[DOI]

CoRR, 2020

Why are Adaptive Methods Good for Attention Models?

[BibT_eX]

[DOI]

Jingzhao Zhang

Sai Praneeth Karimireddy

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Why ADAM Beats SGD for Attention Models.

[BibT_eX]

[DOI]

Jingzhao Zhang

Sai Praneeth Karimireddy

CoRR, 2019

Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition.

[BibT_eX]

[DOI]

CoRR, 2019

Quantifying Exposure Bias for Neural Language Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Acceleration in First Order Quasi-strongly Convex Optimization by ODE Discretization.

[BibT_eX]

[DOI]

Jingzhao Zhang

Suvrit Sra

Ali Jadbabaie

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

A Probe Towards Understanding GAN and VAE Models.

[BibT_eX]

[DOI]

Lu Mi

Macheng Shen

Jingzhao Zhang

CoRR, 2018

R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate.

[BibT_eX]

[DOI]

Jingzhao Zhang

Hongyi Zhang

Suvrit Sra

CoRR, 2018

Direct Runge-Kutta Discretization Achieves Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Jingzhao Zhang

Timeline

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On csauthors.net:

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