Stochastic Second Order Optimization Methods Ii

Fred Roosta, University of Queensland https://simons.berkeley.edu/talks/

Fred Roosta, University of Queensland https://simons.berkeley.edu/talks/clone-sketching-linear-algebra-i-basics-dim-reduction-0 ...

Stochastic

Katya Scheinberg, Lehigh University https://simons.berkeley.edu/talks/katya-scheinberg-10-03-17 Fast Iterative

Abstract: Continuous

We consider black-box

Given their success in other domains,

Gradient Descent and its variants are very useful, but there exists an entire other

Abstract: With the increasing availability of scalable computing platforms (including accelerators), there is an opportunity for more ...

We take a look at Newton's

We study the empirical risk minimization problem with convex losses on distributed architectures. We build upon a recently ...

Abstract: With the increasing availability of scalable computing platforms (including accelerators), there is an opportunity for more ...

Second Order Stochastic

Guest talk by Peter Richtarik on the seminar series held by MTL MLOpt. https://mtl-mlopt.github.io The talk contains material from ...

Short presentation of our paper appearing at AISTATS 2020. Paper: https://arxiv.org/abs/1910.04920 Code: ...

This is

Общероссийский семинар по оптимизации 7 апреля 2021 г. 17:30, Москва, Онлайн P. Richtárik "Distributed

Discusses

Stochastic methods