Escaping Saddle Points with Adaptive Gradient Methods Matthew Staib - PowerPoint PPT Presentation

Escaping Saddle Points with   Adaptive Gradient Methods Matthew Staib 1 , Sashank Reddi 2 , Satyen Kale 2 , Sanjiv Kumar 2 , Suvrit Sra 1 1. MIT EECS 2. Google Research, New York

Escaping Saddle Points with Adaptive Gradient Methods — Matthew Staib Adam, RMSProp and friends

Escaping Saddle Points with Adaptive Gradient Methods — Matthew Staib Adam, RMSProp and friends • Empirically: good non-convex performance

Escaping Saddle Points with Adaptive Gradient Methods — Matthew Staib Adam, RMSProp and friends • Empirically: good non-convex performance • Limited theory, some non-convergence results [e.g. Reddi et al. ‘18]

Escaping Saddle Points with Adaptive Gradient Methods — Matthew Staib Adam, RMSProp and friends • Empirically: good non-convex performance • Limited theory, some non-convergence results [e.g. Reddi et al. ‘18] • Our take: adaptive methods escape saddles (in words: via isotropic noise), reach SOSPs

Escaping Saddle Points with Adaptive Gradient Methods — Matthew Staib Adam, RMSProp and friends • Empirically: good non-convex performance • Limited theory, some non-convergence results [e.g. Reddi et al. ‘18] • Our take: adaptive methods escape saddles (in words: via isotropic noise), reach SOSPs This paper: The first second -order rates for adaptive methods

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Escaping Saddle Points with Adaptive Gradient Methods Matthew Staib - PowerPoint PPT Presentation

Escaping Saddle Points with Adaptive Gradient Methods Matthew Staib 1 , Sashank Reddi 2 , Satyen Kale 2 , Sanjiv Kumar 2 , Suvrit Sra 1 1. MIT EECS 2. Google Research, New York Escaping Saddle Points with Adaptive Gradient Methods Matthew

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Escaping Saddle Points with Adaptive Gradient Methods Matthew Staib - PowerPoint PPT Presentation

Escaping Saddle Points with Adaptive Gradient Methods Matthew Staib 1 , Sashank Reddi 2 , Satyen Kale 2 , Sanjiv Kumar 2 , Suvrit Sra 1 1. MIT EECS 2. Google Research, New York Escaping Saddle Points with Adaptive Gradient Methods Matthew

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Escaping Saddle Points in Constant Dimensional Spaces: an Agent-based Modeling Perspective Grant

Escaping Saddle Points in Constant Dimensional Spaces: an Agent-based Modeling Perspective Grant

Conjugate gradient methods for stochastic Galerkin finite element saddle point matrices B T A

Adaptive Gradient Methods And Beyond Liangchen Luo Peking University, Beijing

Adaptive primal-dual stochastic gradient methods Yangyang Xu Mathematical Sciences, Rensselaer

The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima

Applied Machine Learning Gradient Descent Methods Siamak Ravanbakhsh COMP 551 (Fall 2020)

Stochastic Gradient Methods for Neural Networks Chih-Jen Lin National Taiwan University Last

Non-Perturbative Corrections from Complex Saddle Points in CP N Models Toshiaki Fujimori

On the steplength selection in Stochastic Gradient Methods Giorgia Franchini

The structure of the escaping set of a transcendental entire function Gwyneth Stallard (joint

Introductory Course on Non-smooth Optimisation Lecture 01 - Gradient methods Jingwei Liang

The Permutable Mystery Tour Transcendental Functions and Escaping Points For transcendental

Restarting accelerated gradient methods with a rough strong convexity estimate Olivier Fercoq

Spectral properties of steplength selections in gradient methods: from unconstrained to

The Changing Landscape of Unmanned Systems Larry Osborn EVP &amp; Chief Strategy Officer

University of Tennessee Knoxville, Tennessee Smokey Mountain National Park Durable Materials for

A Quantum Money solution to the Blockchain Scalability Problem Andrea Coladangelo, Or Sattath

JustRunIt: ExperimentBased Management of Virtualized Data Centers Wei Zheng Yoshio Turner

End-to-end Exactly-once Aggregation over Ad Streams Amiraj Dhawan Amit

VERITAS Observations Maria Krause Alexis Popkow of the Cygnus Region for the VERITAS

Par$$oning &amp; Clustering Big Graphs George Karypis Department

An Approach for Detecting Learning Styles in Learning Management Systems Sabine Graf Kinshuk

The Changing Landscape of Unmanned Systems Larry Osborn EVP & Chief Strategy Officer

Par$$oning & Clustering Big Graphs George Karypis Department