Peter Richtarik

0:59:01

Sci-Café: What's the Value of Communicating Your Research?

0:15:51

GECCO2021 - pap244 - GA - Analysis of Evolutionary Diversity Optimisation for Permutation Problems

1:18:50

20170912 - Domain-Specific Languages for Convex Optimization

0:03:15

A Hyperfast Second-order Method for Distributed Convex Optimization

0:42:10

Mathurin Massias: Coordinate Descent for SLOPE

0:20:19

Succinct Non-Interactive Secure Computation

0:45:27

When the Optimum is also Blind: A New Perspective on Universal Optimization

1:14:25

Federated Learning with Peter Kairouz

0:03:07

NeurIPS 2019 – PowerSGD: Practical low-rank gradient compression for distributed optimization

0:05:46

LT 「Stochastic Proximal Gradient Descent with Acceleration Techniques」- #DSIRNLP 06

0:50:34

1W-MINDS: Zaiwen Wen, Feb 25, 2021, Stochastic Second-Order Methods For Deep Learning

1:10:11

FLOW Seminar #35: Eduard Gorbunov (MIPT) Faster Non-Convex Distributed Learning with Compression

0:20:36

Dr Armin Eftekhari, University of Edinburgh

0:24:59

Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communicati...

0:29:06

Lecture 27: Dual Averaging

0:11:51

Calculus for non-Differentiable Functions? | Introduction to Machine Learning | CS771

0:08:40

Primal--Dual Optimization and Application to Sampling

2:07:17

EPSRC Council Open Forum 15 October 2013

1:03:35

Hedy Attouch: Lecture 2 on Dynamical Systems and Optimization

0:07:44

Vamsi K. Potluru - Coordinate Descent for mixed-norm NMF

0:21:22

signSGD: compressed optimisation

0:28:18

Professor Mihaela van der Schaar, Oxford University

0:58:20

OWOS:Minh N. Dao-'The Proximal Subgradient Method for Nonsmooth Sum-of-Ratios Optimization Problems'

0:05:17

Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction