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Limitations on Variance-Reduction and Acceleration Schemes for Finite
  Sum Optimization
v1v2 (latest)

Limitations on Variance-Reduction and Acceleration Schemes for Finite Sum Optimization

Neural Information Processing Systems (NeurIPS), 2017
6 June 2017
Yossi Arjevani
ArXiv (abs)PDFHTML

Papers citing "Limitations on Variance-Reduction and Acceleration Schemes for Finite Sum Optimization"

6 / 6 papers shown
Distributed Learning Systems with First-order Methods
Distributed Learning Systems with First-order Methods
Ji Liu
Ce Zhang
165
46
0
12 Apr 2021
Stochastic Reweighted Gradient Descent
Stochastic Reweighted Gradient DescentInternational Conference on Machine Learning (ICML), 2021
Ayoub El Hanchi
D. Stephens
119
10
0
23 Mar 2021
On the Complexity of Minimizing Convex Finite Sums Without Using the
  Indices of the Individual Functions
On the Complexity of Minimizing Convex Finite Sums Without Using the Indices of the Individual Functions
Yossi Arjevani
Amit Daniely
Stefanie Jegelka
Hongzhou Lin
154
3
0
09 Feb 2020
Lower Bounds for Non-Convex Stochastic Optimization
Lower Bounds for Non-Convex Stochastic OptimizationMathematical programming (Math. Program.), 2019
Yossi Arjevani
Y. Carmon
John C. Duchi
Dylan J. Foster
Nathan Srebro
Blake E. Woodworth
626
408
0
05 Dec 2019
On the Adaptivity of Stochastic Gradient-Based Optimization
On the Adaptivity of Stochastic Gradient-Based Optimization
Lihua Lei
Sai Li
ODL
203
26
0
09 Apr 2019
Direct Acceleration of SAGA using Sampled Negative Momentum
Direct Acceleration of SAGA using Sampled Negative MomentumInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Kaiwen Zhou
288
46
0
28 Jun 2018
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