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Jingzhao Zhang
Jingzhao Zhang
IIIS, Tsinghua University
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Why gradient clipping accelerates training: A theoretical justification for adaptivity
AJ Jingzhao Zhang, Tianxing He, Suvrit Sra
International Conference on Learning Representations 2020, 2020
403*2020
Why are adaptive methods good for attention models?
J Zhang, SP Karimireddy, A Veit, S Kim, S Reddi, S Kumar, S Sra
Advances in Neural Information Processing Systems 33, 15383-15393, 2020
270*2020
3D computer-generated holography by non-convex optimization
J Zhang, N Pégard, J Zhong, H Adesnik, L Waller
Optica 4 (10), 1306-1313, 2017
1932017
Direct Runge-Kutta Discretization Achieves Acceleration
J Zhang, A Mokhtari, S Sra, A Jadbabaie
Advances in Neural Information Processing Systems 2018, 2018
1162018
Complexity of finding stationary points of nonconvex nonsmooth functions
J Zhang, H Lin, S Jegelka, S Sra, A Jadbabaie
International Conference on Machine Learning, 11173-11182, 2020
812020
Fast federated learning in the presence of arbitrary device unavailability
X Gu, K Huang, J Zhang, L Huang
Advances in Neural Information Processing Systems 34, 12052-12064, 2021
712021
Coping with label shift via distributionally robust optimisation
J Zhang, A Menon, A Veit, S Bhojanapalli, S Kumar, S Sra
ICLR 2021, 2020
662020
Exposure bias versus self-recovery: Are distortions really incremental for autoregressive text generation?
T He, J Zhang, Z Zhou, J Glass
ACL 2021, 2019
64*2019
Understanding the unstable convergence of gradient descent
K Ahn, J Zhang, S Sra
International Conference on Machine Learning, 247-257, 2022
592022
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate
J Zhang, H Zhang, S Sra
arXiv preprint arXiv:1811.04194, 2018
412018
Complexity lower bounds for nonconvex-strongly-concave min-max optimization
H Li, Y Tian, J Zhang, A Jadbabaie
Advances in Neural Information Processing Systems 34, 1792-1804, 2021
312021
A probe towards understanding gan and vae models
L Mi, M Shen, J Zhang
arXiv preprint arXiv:1812.05676, 2018
292018
Provably efficient algorithms for multi-objective competitive rl
T Yu, Y Tian, J Zhang, S Sra
International Conference on Machine Learning, 12167-12176, 2021
222021
Sion’s minimax theorem in geodesic metric spaces and a Riemannian extragradient algorithm
P Zhang, J Zhang, S Sra
SIAM Journal on Optimization 33 (4), 2885-2908, 2023
20*2023
Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE
J Zhang, CA Uribe, A Mokhtari, A Jadbabaie
2019 American Control Conference, 2018
182018
Realistic fault detection of li-ion battery via dynamical deep learning
J Zhang, Y Wang, B Jiang, H He, S Huang, C Wang, Y Zhang, X Han, ...
Nature Communications 14 (1), 5940, 2023
112023
Efficient sampling on Riemannian manifolds via Langevin MCMC
X Cheng, J Zhang, S Sra
Advances in Neural Information Processing Systems 35, 5995-6006, 2022
10*2022
Online policy optimization for robust MDP
J Dong, J Li, B Wang, J Zhang
UAI 2024; arXiv preprint arXiv:2209.13841, 2022
102022
Acceleration in First Order Quasi-strongly Convex Optimization by ODE Discretization
J Zhang, S Sra, A Jadbabaie
2019 Conference on Decision and Control, 2019
82019
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
K Wen, J Teng, J Zhang
The Eleventh International Conference on Learning Representations, 2023
6*2023
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