Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2202.07530
Cited By
v1
v2
v3
v4 (latest)
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
15 February 2022
Wei Jiang
Bokun Wang
Yibo Wang
Lijun Zhang
Tianbao Yang
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Optimal Algorithms for Stochastic Multi-Level Compositional Optimization"
13 / 13 papers shown
Title
Optimal Algorithms for Convex Nested Stochastic Composite Optimization
Zhe Zhang
Guanghui Lan
72
30
0
19 Nov 2020
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
Tianyi Chen
Yuejiao Sun
W. Yin
126
82
0
25 Aug 2020
Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates
Krishnakumar Balasubramanian
Saeed Ghadimi
A. Nguyen
81
34
0
24 Aug 2020
Tilted Empirical Risk Minimization
Tian Li
Ahmad Beirami
Maziar Sanjabi
Virginia Smith
79
135
0
02 Jul 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Kaiyi Ji
Junjie Yang
Yingbin Liang
91
50
0
18 Feb 2020
Gradient descent algorithms for Bures-Wasserstein barycenters
Sinho Chewi
Tyler Maunu
Philippe Rigollet
Austin J. Stromme
53
87
0
06 Jan 2020
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky
Francesco Orabona
ODL
96
410
0
24 May 2019
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Liangchen Luo
Yuanhao Xiong
Yan Liu
Xu Sun
ODL
91
602
0
26 Feb 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Cong Fang
C. J. Li
Zhouchen Lin
Tong Zhang
104
580
0
04 Jul 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
833
11,961
0
09 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
280
1,222
0
16 Aug 2016
Accelerating Stochastic Composition Optimization
Mengdi Wang
Ji Liu
Ethan X. Fang
80
148
0
25 Jul 2016
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
Alekh Agarwal
Peter L. Bartlett
Pradeep Ravikumar
Martin J. Wainwright
212
251
0
03 Sep 2010
1