Media Summary: We study the empirical risk minimization problem with convex losses on distributed architectures. We build upon a recently ... Short presentation of our paper appearing at AISTATS 2020. Paper: Code: ... Guest talk by Peter Richtarik on the seminar series held by MTL MLOpt. The talk contains material from ...

A Stochastic Second Order Proximal - Detailed Analysis & Overview

We study the empirical risk minimization problem with convex losses on distributed architectures. We build upon a recently ... Short presentation of our paper appearing at AISTATS 2020. Paper: Code: ... Guest talk by Peter Richtarik on the seminar series held by MTL MLOpt. The talk contains material from ... Katya Scheinberg, Lehigh University Fast Iterative Methods in ...

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A Stochastic Second Order Proximal Method for Distributed Optimization
Stochastic Second Order Optimization Methods I
Andre Carlon's talk
Stochastic Dual Coordinate Ascent and its Proximal Extension for Regularized Loss Minimization
Stochastic Second Order Optimization Methods II
A Hyperfast Second-order Method for Distributed Convex Optimization
MASTER Second Order Stochastic Dominance in UNDER 15 Minutes
Fast and Furious Convergence: Stochastic Second-Order Methods under Interpolation
Stochastic Dominance: A More In Depth View
Peter Richtarik - On Second Order Methods and Randomness
Stochastic, Second-order Black-box Optimization for Step Functions
Katya Scheinberg - Complexity of Inexact Proximal Newton Methods
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A Stochastic Second Order Proximal Method for Distributed Optimization

A Stochastic Second Order Proximal Method for Distributed Optimization

A Stochastic Second Order Proximal

Stochastic Second Order Optimization Methods I

Stochastic Second Order Optimization Methods I

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

Andre Carlon's talk

Andre Carlon's talk

Bayesian quasi-Newton method for

Stochastic Dual Coordinate Ascent and its Proximal Extension for Regularized Loss Minimization

Stochastic Dual Coordinate Ascent and its Proximal Extension for Regularized Loss Minimization

Stochastic

Stochastic Second Order Optimization Methods II

Stochastic Second Order Optimization Methods II

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

A Hyperfast Second-order Method for Distributed Convex Optimization

A Hyperfast Second-order Method for Distributed Convex Optimization

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

MASTER Second Order Stochastic Dominance in UNDER 15 Minutes

MASTER Second Order Stochastic Dominance in UNDER 15 Minutes

Second Order Stochastic

Fast and Furious Convergence: Stochastic Second-Order Methods under Interpolation

Fast and Furious Convergence: Stochastic Second-Order Methods under Interpolation

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

Stochastic Dominance: A More In Depth View

Stochastic Dominance: A More In Depth View

In this video I discuss the concept of

Peter Richtarik - On Second Order Methods and Randomness

Peter Richtarik - On Second Order Methods and Randomness

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

Stochastic, Second-order Black-box Optimization for Step Functions

Stochastic, Second-order Black-box Optimization for Step Functions

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

Katya Scheinberg - Complexity of Inexact Proximal Newton Methods

Katya Scheinberg - Complexity of Inexact Proximal Newton Methods

Slides: https://sites.google.com/site/nips13greedyfrankwolfe/slides-katya.pdf Paper: ...

An Overview of Stochastic Dominance

An Overview of Stochastic Dominance

In this video we discuss first and