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Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions
27 May 2018
N. Aybat
Alireza Fallah
Mert Gurbuzbalaban
Asuman Ozdaglar
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Papers citing
"Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions"
17 / 17 papers shown
Title
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
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Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
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Meisam Razaviyayn
Mihailo R. Jovanović
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24 Sep 2022
On the fast convergence of minibatch heavy ball momentum
Raghu Bollapragada
Tyler Chen
Rachel A. Ward
102
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15 Jun 2022
Reproducibility in Optimization: Theoretical Framework and Limits
Kwangjun Ahn
Prateek Jain
Ziwei Ji
Satyen Kale
Praneeth Netrapalli
G. Shamir
67
22
0
09 Feb 2022
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip
Mathieu Even
Raphael Berthier
Francis R. Bach
Nicolas Flammarion
Pierre Gaillard
Hadrien Hendrikx
Laurent Massoulié
Adrien B. Taylor
121
20
0
10 Jun 2021
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
Courtney Paquette
Elliot Paquette
ODL
98
14
0
07 Jun 2021
On Centralized and Distributed Mirror Descent: Convergence Analysis Using Quadratic Constraints
Youbang Sun
Mahyar Fazlyab
Shahin Shahrampour
29
7
0
29 May 2021
Online Algorithms for Estimating Change Rates of Web Pages
Konstantin Avrachenkov
Kishor P. Patil
Gugan Thoppe
47
16
0
17 Sep 2020
Differentially Private Accelerated Optimization Algorithms
Nurdan Kuru
cS. .Ilker Birbil
Mert Gurbuzbalaban
S. Yıldırım
76
23
0
05 Aug 2020
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings
Mahmoud Assran
Michael G. Rabbat
78
59
0
27 Feb 2020
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
Bao Wang
T. Nguyen
Andrea L. Bertozzi
Richard G. Baraniuk
Stanley J. Osher
ODL
62
49
0
24 Feb 2020
From Nesterov's Estimate Sequence to Riemannian Acceleration
Kwangjun Ahn
S. Sra
94
78
0
24 Jan 2020
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks
Alireza Fallah
Mert Gurbuzbalaban
Asuman Ozdaglar
Umut Simsekli
Lingjiong Zhu
99
28
0
19 Oct 2019
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I
Sandeep Kumar
K. Rajawat
Daniel P. Palomar
77
4
0
21 Jul 2019
Robustness of accelerated first-order algorithms for strongly convex optimization problems
Hesameddin Mohammadi
Meisam Razaviyayn
M. Jovanović
33
41
0
27 May 2019
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
N. Aybat
Alireza Fallah
Mert Gurbuzbalaban
Asuman Ozdaglar
ODL
109
57
0
23 Jan 2019
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances
Bugra Can
Mert Gurbuzbalaban
Lingjiong Zhu
102
45
0
22 Jan 2019
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