Jingzhao Zhang
Jingzhao Zhang
EECS, LIDS, MIT
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
80*2020
Direct Runge-Kutta Discretization Achieves Acceleration
J Zhang, A Mokhtari, S Sra, A Jadbabaie
Advances in Neural Information Processing Systems 2018, 2018
662018
3D computer-generated holography by non-convex optimization
J Zhang, N Pégard, J Zhong, H Adesnik, L Waller
Optica 4 (10), 1306-1313, 2017
602017
Why are adaptive methods good for attention models?
J Zhang, SP Karimireddy, A Veit, S Kim, SJ Reddi, S Kumar, S Sra
arXiv preprint arXiv:1912.03194, 2019
51*2019
Quantifying exposure bias for neural language generation
T He, J Zhang, Z Zhou, J Glass
19*2019
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate
J Zhang, H Zhang, S Sra
arXiv preprint arXiv:1811.04194, 2018
182018
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
16*2020
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
62018
A probe towards understanding gan and vae models
L Mi, M Shen, J Zhang
arXiv preprint arXiv:1812.05676, 2018
52018
Acceleration in First Order Quasi-strongly Convex Optimization by ODE Discretization
J Zhang, S Sra, A Jadbabaie
2019 Conference on Decision and Control, 2019
42019
Provably Efficient Algorithms for Multi-Objective Competitive RL
T Yu, Y Tian, J Zhang, S Sra
arXiv preprint arXiv:2102.03192, 2021
22021
Coping with label shift via distributionally robust optimisation
J Zhang, A Menon, A Veit, S Bhojanapalli, S Kumar, S Sra
arXiv preprint arXiv:2010.12230, 2020
22020
Holographic temporal focusing for 3d photo-activation with single neuron resolution
N Pégard, A Mardinly, J Zhang, S Sridharan, L Waller, H Adesnik
Optics and the Brain, BrM3B. 2, 2017
22017
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
H Li, Y Tian, J Zhang, A Jadbabaie
arXiv preprint arXiv:2104.08708, 2021
12021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
X Gu, K Huang, J Zhang, L Huang
arXiv preprint arXiv:2106.04159, 2021
2021
Stochastic Optimization with Non-stationary Noise
J Zhang, H Lin, S Das, S Sra, A Jadbabaie
arXiv preprint arXiv:2006.04429, 2020
2020
Dynamical systems view of acceleration in first order optimization
J Zhang
Massachusetts Institute of Technology, 2019
2019
Nonlinear optimization for partially coherent phase recovery with Abbe’s method
J Zhang, J Zhong, L Waller
Computational Optical Sensing and Imaging, JT3A. 27, 2016
2016
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Articles 1–18