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Jingzhao Zhang
Jingzhao Zhang
IIIS, Tsinghua University
Подтвержден адрес электронной почты в домене mit.edu - Главная страница
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Год
Why gradient clipping accelerates training: A theoretical justification for adaptivity
AJ Jingzhao Zhang, Tianxing He, Suvrit Sra
International Conference on Learning Representations 2020, 2020
169*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
1052017
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
104*2020
Direct Runge-Kutta Discretization Achieves Acceleration
J Zhang, A Mokhtari, S Sra, A Jadbabaie
Advances in Neural Information Processing Systems 2018, 2018
832018
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
37*2020
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?
T He, J Zhang, Z Zhou, J Glass
arXiv preprint arXiv:1905.10617, 2019
33*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
292018
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
172020
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
132021
A probe towards understanding gan and vae models
L Mi, M Shen, J Zhang
arXiv preprint arXiv:1812.05676, 2018
132018
Provably efficient algorithms for multi-objective competitive rl
T Yu, Y Tian, J Zhang, S Sra
International Conference on Machine Learning, 12167-12176, 2021
112021
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
102018
Understanding the unstable convergence of gradient descent
K Ahn, J Zhang, S Sra
arXiv preprint arXiv:2204.01050, 2022
82022
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
82021
Acceleration in First Order Quasi-strongly Convex Optimization by ODE Discretization
J Zhang, S Sra, A Jadbabaie
2019 Conference on Decision and Control, 2019
62019
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
J Zhang, H Lin, S Das, S Sra, A Jadbabaie
ICML 2022, 2020
4*2020
Minimax in Geodesic Metric Spaces: Sion's Theorem and Algorithms
P Zhang, J Zhang, S Sra
arXiv preprint arXiv:2202.06950, 2022
32022
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
Realistic Deep Learning May Not Fit Benignly
K Wen, J Teng, J Zhang
arXiv preprint arXiv:2206.00501, 2022
2022
Theory and Algorithms for Diffusion Processes on Riemannian Manifolds
X Cheng, J Zhang, S Sra
arXiv preprint arXiv:2204.13665, 2022
2022
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Статьи 1–20