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Stochastic Optimization with Laggard Data Pipelines

Stochastic Optimization with Laggard Data Pipelines

Neural Information Processing Systems (NeurIPS), 2020
26 October 2020
Naman Agarwal
Rohan Anil
Tomer Koren
Kunal Talwar
Cyril Zhang
ArXiv (abs)PDFHTML

Papers citing "Stochastic Optimization with Laggard Data Pipelines"

7 / 7 papers shown
Target-based Surrogates for Stochastic Optimization
Target-based Surrogates for Stochastic OptimizationInternational Conference on Machine Learning (ICML), 2023
J. Lavington
Sharan Vaswani
Reza Babanezhad
Mark Schmidt
Nicolas Le Roux
256
6
0
06 Feb 2023
Uniform Stability for First-Order Empirical Risk Minimization
Uniform Stability for First-Order Empirical Risk MinimizationAnnual Conference Computational Learning Theory (COLT), 2022
Amit Attia
Tomer Koren
154
8
0
17 Jul 2022
Understanding Data Storage and Ingestion for Large-Scale Deep
  Recommendation Model Training
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training
Mark Zhao
Niket Agarwal
Aarti Basant
B. Gedik
Satadru Pan
...
Kevin Wilfong
Harsha Rastogi
Carole-Jean Wu
Christos Kozyrakis
Parikshit Pol
GNN
292
96
0
20 Aug 2021
Large-Scale Differentially Private BERT
Large-Scale Differentially Private BERT
Rohan Anil
Badih Ghazi
Vineet Gupta
Ravi Kumar
Pasin Manurangsi
245
148
0
03 Aug 2021
Acceleration via Fractal Learning Rate Schedules
Acceleration via Fractal Learning Rate SchedulesInternational Conference on Machine Learning (ICML), 2021
Naman Agarwal
Surbhi Goel
Cyril Zhang
188
19
0
01 Mar 2021
Algorithmic Instabilities of Accelerated Gradient Descent
Algorithmic Instabilities of Accelerated Gradient DescentNeural Information Processing Systems (NeurIPS), 2021
Amit Attia
Tomer Koren
145
11
0
03 Feb 2021
Progressive Compressed Records: Taking a Byte out of Deep Learning Data
Progressive Compressed Records: Taking a Byte out of Deep Learning DataProceedings of the VLDB Endowment (PVLDB), 2019
Michael Kuchnik
George Amvrosiadis
Virginia Smith
482
10
0
01 Nov 2019
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