Stefan Vlaski und Optimization - Info zur Person

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[ ] Stochastic Learning under Random Reshuffling with...

arxiv.org

Authors: Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed. (Submitted on 21 Mar 2018). Abstract: In empirical risk optimization, it has been observed that ...

[ ] Second-Order Guarantees of Stochastic Gradient Descent...

arxiv.org

Title:Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization. Authors:Stefan Vlaski, Ali H. Sayed. (Submitted on ...

‪Stefan Vlaski‬ - ‪Google 学术搜索‬

scholar.google.com.au

‪Imperial College London‬ - ‪‪引用次数：497 次‬‬ - ‪Adaptation and Learning‬ - ‪Distributed Optimization‬ - ‪Machine Learning‬ - ‪Statistical Signal Processing‬

‪Stefan Vlaski‬ - ‪Google Scholar‬

scholar.google.com

‪Imperial College London‬ - ‪‪497-mal zitiert‬‬ - ‪Adaptation and Learning‬ - ‪Distributed Optimization‬ - ‪Machine Learning‬ - ‪Statistical Signal Processing‬

Multiagent papers — Eye On AI

www.eye-on.ai

Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization by Stefan Vlaski et al Towards a Model for ...

ICASSP | IEEE International Conference on Acoustics,...

www.2016.ieeeicassp.org

"DIFFUSION STOCHASTIC OPTIMIZATION WITH NON-SMOOTH REGULARIZERS," Stefan Vlaski, Lieven Vandenberghe, Ali Sayed ...

Learning over Multitask Graphs -- Part II: Performance Analysis

scirate.com

Part I of this paper formulated a multitask optimization problem where agents in the network have individual objectives to meet, or individual parameter...

Regularized Diffusion Adaptation via Conjugate Smoothing ...

zhuanzhi.ai

Stefan Vlaski,Lieven Vandenberghe,Ali H. Sayed. The purpose of this work is to develop and study a distributed strategy for Pareto optimization of an aggregate ...

Swiss Machine Learning Day Idiap Research Institute

www.idiap.ch

Polynomial Escape-Time from Saddle Points in Distributed Non-Convex Optimization (Stefan Vlaski, EPFL); Towards Integration of Statistical Hypothesis Tests ...

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