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Jun-Kun Wang
Jun-Kun Wang
Assistant Professor at University of California San Diego
在 ucsd.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Faster rates for convex-concave games
J Abernethy, K Lai, K Levy, JK Wang
Conference on Learning Theory, 2018
512018
Acceleration through optimistic no-regret dynamics
JK Wang, JD Abernethy
Advances in Neural Information Processing Systems 31, 2018
502018
On Frank-Wolfe and equilibrium computation
JD Abernethy, JK Wang
Advances in Neural Information Processing Systems 30, 2017
502017
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
JK Wang, CH Lin, J Abernethy
Proceedings of the 38th International Conference on Machine Learning, 2021
222021
No-regret dynamics in the fenchel game: A unified framework for algorithmic convex optimization
JK Wang, J Abernethy, KY Levy
Mathematical Programming, 1-66, 2023
182023
Escaping saddle points faster with stochastic momentum
JK Wang, CH Lin, J Abernethy
International Conference on Learning Representations, 2020
182020
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
JK Wang, CH Lin, A Wibisono, B Hu
International Conference on Machine Learning, 2022
172022
Robust inverse covariance estimation under noisy measurements
JK Wang
International Conference on Machine Learning, 928-936, 2014
82014
An optimistic acceleration of amsgrad for nonconvex optimization
JK Wang, X Li, B Karimi, P Li
Asian Conference on Machine Learning, 422-437, 2021
62021
Revisiting projection-free optimization for strongly convex constraint sets
J Rector-Brooks, JK Wang, B Mozafari
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1576-1583, 2019
62019
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
JK Wang, A Wibisono
International Conference on Learning Representations, 2023
52023
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
JK Wang, A Wibisono
International Conference on Learning Representations, 2023
52023
Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
JK Wang, A Wibisono
International Conference on Learning Representations, 2023
32023
Quickly finding a benign region via heavy ball momentum in non-convex optimization
JK Wang, J Abernethy
arXiv preprint arXiv:2010.01449, 2020
32020
Online linear optimization with sparsity constraints
JK Wang, CJ Lu, SD Lin
Algorithmic Learning Theory, 883-897, 2019
22019
Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron
JK Wang, J Abernethy
Asian Conference on Machine Learning, 17-32, 2021
12021
Parallel Least-Squares Policy Iteration
JK Wang, SD Lin
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
12016
Hamiltonian Descent and Coordinate Hamiltonian Descent
JK Wang
arXiv preprint arXiv:2402.13988, 2024
2024
Efficient Sampling-based ADMM for Distributed Data
JK Wang, SD Lin
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
2016
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