The Physical Systems Behind Optimization Algorithms

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The Physical Systems Behind Optimization Algorithms

8 December 2016

Vladimir Braverman

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Papers citing "The Physical Systems Behind Optimization Algorithms"

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Title
Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis Carles Domingo-Enrich 35 0 0 01 Jun 2022
Obtaining Adjustable Regularization for Free via Iterate Averaging Jingfeng Wu Vladimir Braverman Lin F. Yang 63 2 0 15 Aug 2020
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model Guodong Zhang Lala Li Zachary Nado James Martens Sushant Sachdeva George E. Dahl Christopher J. Shallue Roger C. Grosse 118 154 0 09 Jul 2019
The Role of Memory in Stochastic Optimization Antonio Orvieto Jonas Köhler Aurelien Lucchi 92 30 0 02 Jul 2019
Meta-learners' learning dynamics are unlike learners' Neil C. Rabinowitz OffRL 88 16 0 03 May 2019
Conformal Symplectic and Relativistic Optimization G. Francca Jeremias Sulam Daniel P. Robinson René Vidal 85 69 0 11 Mar 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions Belinda Tzen Maxim Raginsky DiffM 73 102 0 05 Mar 2019
Continuous-time Models for Stochastic Optimization Algorithms Antonio Orvieto Aurelien Lucchi 116 32 0 05 Oct 2018