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1906.10655
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Complexity of Highly Parallel Non-Smooth Convex Optimization
25 June 2019
Sébastien Bubeck
Qijia Jiang
Y. Lee
Yuanzhi Li
Aaron Sidford
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Papers citing
"Complexity of Highly Parallel Non-Smooth Convex Optimization"
12 / 12 papers shown
Title
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
Roi Livni
MLT
37
1
0
07 Apr 2024
Memory-Query Tradeoffs for Randomized Convex Optimization
X. Chen
Binghui Peng
36
6
0
21 Jun 2023
ReSQueing Parallel and Private Stochastic Convex Optimization
Y. Carmon
A. Jambulapati
Yujia Jin
Y. Lee
Daogao Liu
Aaron Sidford
Kevin Tian
FedML
22
12
0
01 Jan 2023
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
Y. Carmon
A. Jambulapati
Yujia Jin
Aaron Sidford
50
11
0
17 Jun 2022
Efficient Convex Optimization Requires Superlinear Memory
A. Marsden
Vatsal Sharan
Aaron Sidford
Gregory Valiant
26
14
0
29 Mar 2022
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
A. Garg
Robin Kothari
Praneeth Netrapalli
Suhail Sherif
16
13
0
02 Dec 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates
A. Jambulapati
J. Li
T. Schramm
Kevin Tian
AAML
32
17
0
22 Jun 2021
Stochastic Bias-Reduced Gradient Methods
Hilal Asi
Y. Carmon
A. Jambulapati
Yujia Jin
Aaron Sidford
18
29
0
17 Jun 2021
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization
Mathieu Even
Laurent Massoulié
16
14
0
04 Feb 2021
Higher-order methods for convex-concave min-max optimization and monotone variational inequalities
Brian Bullins
Kevin A. Lai
25
36
0
09 Jul 2020
Lower Bounds for Parallel and Randomized Convex Optimization
Jelena Diakonikolas
Cristóbal Guzmán
30
44
0
05 Nov 2018
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
171
683
0
07 Dec 2010
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