14 Hits in 3.8 sec

Asynchrony begets Momentum, with an Application to Deep Learning [article]

Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré
2016 arXiv   pre-print
Our result does not assume convexity of the objective function, so it is applicable to deep learning systems.  ...  We observe that a standard queuing model of asynchrony results in a form of momentum that is commonly used by deep learning practitioners.  ...  ACKNOWLEDGMENTS The authors would like to thank Chris De Sa for the discussion on asynchrony that was the precursor to the present work and Dan Iter for his thoughtful feedback.  ... 
arXiv:1605.09774v2 fatcat:qsyp6ch6x5ecnnp4h5usfxbzr4

At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? [article]

Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry
2020 arXiv   pre-print
We find that the degree of delay interacts with the learning rate, to change the set of minima accessible by an asynchronous stochastic gradient descent algorithm.  ...  Specifically, for high delay values, we find that the learning rate should be kept inversely proportional to the delay. We then extend this analysis to include momentum.  ...  Asynchrony begets momentum, with an application to deep learning. 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016, pp. 997-1004, 2017.  ... 
arXiv:1909.12340v2 fatcat:7yhgzksjyvg5zbi7jwx7g33fym

Taming Momentum in a Distributed Asynchronous Environment [article]

Ido Hakimi, Saar Barkai, Moshe Gabel, Assaf Schuster
2020 arXiv   pre-print
We propose DANA: a novel technique for asynchronous distributed SGD with momentum that mitigates gradient staleness by computing the gradient on an estimated future position of the model's parameters.  ...  Thereby, we show for the first time that momentum can be fully incorporated in asynchronous training with almost no ramifications to final accuracy.  ...  Asynchrony begets momentum, with an application to deep learning. In 54th Annual Allerton Conference on Communication, Control, and Computing, 2016.  ... 
arXiv:1907.11612v3 fatcat:t5m4drjfzbbfrauj4ktqbohm64

Quasi-hyperbolic momentum and Adam for deep learning [article]

Jerry Ma, Denis Yarats
2019 arXiv   pre-print
Momentum-based acceleration of stochastic gradient descent (SGD) is widely used in deep learning.  ...  We propose the quasi-hyperbolic momentum algorithm (QHM) as an extremely simple alteration of momentum SGD, averaging a plain SGD step with a momentum step.  ...  Asynchrony begets momentum, with an application to deep learning.  ... 
arXiv:1810.06801v4 fatcat:tq3iul7mdnhjhjjtq5d7edjacm

Adaptive Braking for Mitigating Gradient Delay [article]

Abhinav Venigalla and Atli Kosson and Vitaliy Chiley and Urs Köster
2020 arXiv   pre-print
We show that applying AB on top of SGD with momentum enables training ResNets on CIFAR-10 and ImageNet-1k with delays D ≥ 32 update steps with minimal drop in final test accuracy.  ...  Neural network training is commonly accelerated by using multiple synchronized workers to compute gradient updates in parallel.  ...  Asynchrony begets momentum, with an application to deep learning. In 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 997-1004. IEEE, 2016.  ... 
arXiv:2007.01397v2 fatcat:wglfxomtn5hjpm67zjlkfa2m7q

Gap Aware Mitigation of Gradient Staleness [article]

Saar Barkai, Ido Hakimi, Assaf Schuster
2020 arXiv   pre-print
Cloud computing is becoming increasingly popular as a platform for distributed training of deep neural networks.  ...  Despite prior beliefs, we show that if GA is applied, momentum becomes beneficial in asynchronous environments, even when the number of workers scales up.  ...  Asynchrony begets momentum, with an application to deep learning. In 54th Annual Allerton Conference on Communication, Control, and Computing, pp. 997-1004, 2016. Christopher J.  ... 
arXiv:1909.10802v3 fatcat:lhp4kxt2p5buvayx6h5yvvaa7e

The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning [article]

Audrunas Gruslys, Will Dabney, Mohammad Gheshlaghi Azar, Bilal Piot, Marc Bellemare, Remi Munos
2018 arXiv   pre-print
In this work we present a new agent architecture, called Reactor, which combines multiple algorithmic and architectural contributions to produce an agent with higher sample-efficiency than Prioritized  ...  Our first contribution is a new policy evaluation algorithm called Distributional Retrace, which brings multi-step off-policy updates to the distributional reinforcement learning setting.  ...  Machine learning, 8(3/4):69-97, 1992. Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, and Christopher Ré. Asynchrony begets momentum, with an application to deep learning.  ... 
arXiv:1704.04651v2 fatcat:46wvnqppnfc4pbownydwdsv3cy

Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms [article]

Jianyu Wang, Gauri Joshi
2019 arXiv   pre-print
Moreover, this framework enables us to design new communication-efficient SGD algorithms that strike the best balance between reducing communication overhead and achieving fast error convergence with low  ...  Communication-efficient SGD algorithms, which allow nodes to perform local updates and periodically synchronize local models, are highly effective in improving the speed and scalability of distributed  ...  This work was partially supported by the CMU Dean's fellowship and an IBM Faculty Award.  ... 
arXiv:1808.07576v3 fatcat:vjnt3h7ue5d55brdwdfpivhs34

Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls [article]

Jiacheng Zhuo, Qi Lei, Alexandros G. Dimakis, Constantine Caramanis
2019 arXiv   pre-print
Large-scale machine learning training suffers from two prior challenges, specifically for nuclear-norm constrained problems with distributed systems: the synchronization slowdown due to the straggling  ...  We implement our algorithm in python (with MPI) to run on Amazon EC2, and demonstrate that SFW-asyn yields speed-ups almost linear to the number of machines compared to the vanilla SFW.  ...  Asynchrony begets momentum, with an application to deep learning. In 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pages 997-1004. IEEE.  ... 
arXiv:1910.07703v1 fatcat:kaxmvnegunak3lr2l7smmnglzi

Learning with Staleness

Wei Dai
This thesis characterizes learning with staleness from three directions: (1) We extend the theoretical analyses of a number of classical ML algorithms, including stochastic gradient descent, proximal gradient  ...  As a result, concurrent ML computation in the distributed settings often needs to handle delayed updates and perform learning in the presence of staleness.  ...  If the explicit momentum is zero, then the implicit momentum from asynchrony is likely higher than optimal, and thus they can reduce asynchrony to improve convergence.  ... 
doi:10.1184/r1/6720416 fatcat:zzaqdzyaejfh5jk42n5hti5vnu


E.Y. Gorshunova, Y.V. Gorshunov
2016 Russian Linguistic Bulletin  
Being a developing entity, Rh Sl cannot but react to the changes that take place in modern society, evolving new tendencies and being enriched with new items that need to be linguistically interpreted  ...  The article deals with new rhyming slang (Rh Sl) items that name new technological achievements and new means of communication that are connected with computerization and technical renovation.  ...  John Goldsmith [89] notes that a multi-level representation provides a solution to the conceptual problems raised by the feature asynchrony in connection with the matrix formalism.  ... 
doi:10.18454/rulb.7.26 fatcat:7cjwxqjiebcidpc3cxzna6l6v4

American literary environmentalism

2000 ChoiceReviews  
., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps.  ...  Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.  ...  Instead she replaces that logical temporality with an asynchrony in which a season is compressed into a night and the events of years past can be said to have occurred just "the other day."  ... 
doi:10.5860/choice.38-2025 fatcat:cs5qppm4erckxlwdowjc4iy6r4

The thinking heart: the lived experience of older first time mothers

Joyce Kathleen Engel
Where do mothers learn to be mothers? Women leam to be mothers from their own experience of being mothers.  ...  (Bergum, 1997, p. 23) Telling the story of being an older first time mother parallels a process that is natural to most who are mothers and is integral to the practice of nurses and of others who listen  ...  to beget, bring forth; a mother or a father, or by extension, an ancestor (Compact edition o f the Oxford English Dictionary [OED], 1971) .  ... 
doi:10.7939/r3-2cnv-gy72 fatcat:4yotapvlojf45h2pxbxisq252e

ZMK Zeitschrift für Medien- und Kulturforschung. Focus Producing Places

(:Unkn) Unknown, Mediarep.Org, Lorenz Engell, Bernhard Siegert
Are there places of and for objects and operations that do not share anything with other entities, which are unable to inhabit the same place?  ...  , affect each other, or attach to each other.  ...  beget children in toil and pain.  ... 
doi:10.25969/mediarep/18766 fatcat:y3sb2r23ynhhfei3ce3fbnisk4