Hongzhou Lin

According to our database1, Hongzhou Lin authored at least 10 papers between 2015 and 2020.

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Bibliography

2020
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method.
CoRR, 2020

Stochastic Optimization with Non-stationary Noise.
CoRR, 2020

On Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions.
CoRR, 2020

On the Complexity of Minimizing Convex Finite Sums Without Using the Indices of the Individual Functions.
CoRR, 2020

2019
An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration.
SIAM J. Optim., 2019

2018
ResNet with one-neuron hidden layers is a Universal Approximator.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Catalyst for Gradient-based Nonconvex Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Generic acceleration schemes for gradient-based optimization in machine learning. (Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique).
PhD thesis, 2017

Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice.
J. Mach. Learn. Res., 2017

2015
A Universal Catalyst for First-Order Optimization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015


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