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1706.06569
Cited By
A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization
20 June 2017
Vineet Gupta
Tomer Koren
Y. Singer
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Papers citing
"A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization"
17 / 17 papers shown
Title
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
Jared Lawrence
Ari Kalinsky
Hannah Bradfield
Y. Carmon
Oliver Hinder
53
0
0
12 Jun 2025
ASGO: Adaptive Structured Gradient Optimization
Kang An
Yuxing Liu
Boyao Wang
Shiqian Ma
Shiqian Ma
Tong Zhang
Tong Zhang
ODL
209
14
0
26 Mar 2025
Structured Preconditioners in Adaptive Optimization: A Unified Analysis
Shuo Xie
Tianhao Wang
Sashank J. Reddi
Sanjiv Kumar
Zhiyuan Li
138
8
0
13 Mar 2025
Old Optimizer, New Norm: An Anthology
Jeremy Bernstein
Laker Newhouse
ODL
162
37
0
30 Sep 2024
The Price of Adaptivity in Stochastic Convex Optimization
Y. Carmon
Oliver Hinder
137
8
0
16 Feb 2024
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
Ahmed Khaled
Konstantin Mishchenko
Chi Jin
ODL
178
34
0
25 May 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
Maor Ivgi
Oliver Hinder
Y. Carmon
ODL
233
75
0
08 Feb 2023
Meta-Regularization: An Approach to Adaptive Choice of the Learning Rate in Gradient Descent
Guangzeng Xie
Hao Jin
Dachao Lin
Zhihua Zhang
59
0
0
12 Apr 2021
Structured Dropout Variational Inference for Bayesian Neural Networks
S. Nguyen
Duong Nguyen
Khai Nguyen
Khoat Than
Hung Bui
Nhat Ho
BDL
DRL
137
9
0
16 Feb 2021
Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization
Anas Barakat
Pascal Bianchi
118
12
0
18 Nov 2019
Learning Neural Networks with Adaptive Regularization
Han Zhao
Yao-Hung Hubert Tsai
Ruslan Salakhutdinov
Geoffrey J. Gordon
68
15
0
14 Jul 2019
Universal Online Convex Optimization with Minimax Optimal Second-Order Dynamic Regret
Hakan Gokcesu
Suleyman S. Kozat
92
1
0
30 Jun 2019
A Latent Variational Framework for Stochastic Optimization
P. Casgrain
DRL
98
4
0
05 May 2019
Extreme Tensoring for Low-Memory Preconditioning
Xinyi Chen
Naman Agarwal
Elad Hazan
Cyril Zhang
Yi Zhang
100
11
0
12 Feb 2019
Predictor-Corrector Policy Optimization
Ching-An Cheng
Xinyan Yan
Nathan D. Ratliff
Byron Boots
OnRL
120
23
0
15 Oct 2018
Shampoo: Preconditioned Stochastic Tensor Optimization
Vineet Gupta
Tomer Koren
Y. Singer
ODL
207
260
0
26 Feb 2018
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala
Matthias Hein
ODL
142
260
0
17 Jun 2017
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