Media Summary: Stefanie Jegelka, Professor at MIT, presents recent work on A Google TechTalk, presented by Ilija Bogunovic, 2022/10/04 BayesOpt Speaker Series - ABSTRACT: Whether in biological ... In this video, Adriano Arrigo, PhD candidate at the Power Systems and Markets Research (PSMR) Group - University of Mons, ...

Robust Learning Via Robust Optimization - Detailed Analysis & Overview

Stefanie Jegelka, Professor at MIT, presents recent work on A Google TechTalk, presented by Ilija Bogunovic, 2022/10/04 BayesOpt Speaker Series - ABSTRACT: Whether in biological ... In this video, Adriano Arrigo, PhD candidate at the Power Systems and Markets Research (PSMR) Group - University of Mons, ... Jerry Li (Microsoft Research) Frontiers of Deep Nika Haghtalab (UC Berkeley) Quantifying Uncertainty: (13 septembre 2021 / September 13, 2021) Seminar Applied Mathematics/Mathématiques appliquées ...

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Robust Learning via Robust Optimization - Stefanie Jegelka
Robust optimization
Robust Design Discovery and Exploration in Bayesian Optimization
Introduction to Distributionally Robust Optimization
Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
Igor Malheiros - Iterated Local Search Algorithms for Adjustable Robust Optimization Problems with..
Robust Optimization | Lecture 23 (Part 2) | Applied Deep Learning
Irina Wang - Fast Online Distributionally Robust Optimization via Data Compression
Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."
1Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Phebe Vayanos, Robust Optimization & Sequential Decision-Making
Oracle-Efficient Online Learning or: How to Use Non-Robust Optimization for Robust Learning
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Robust Learning via Robust Optimization - Stefanie Jegelka

Robust Learning via Robust Optimization - Stefanie Jegelka

Stefanie Jegelka, Professor at MIT, presents recent work on

Robust optimization

Robust optimization

This video gives an introduction to

Robust Design Discovery and Exploration in Bayesian Optimization

Robust Design Discovery and Exploration in Bayesian Optimization

A Google TechTalk, presented by Ilija Bogunovic, 2022/10/04 BayesOpt Speaker Series - ABSTRACT: Whether in biological ...

Introduction to Distributionally Robust Optimization

Introduction to Distributionally Robust Optimization

In this video, Adriano Arrigo, PhD candidate at the Power Systems and Markets Research (PSMR) Group - University of Mons, ...

Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources

Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources

More information on our webpage: https://sites.google.com/view/row-series/home.

Igor Malheiros - Iterated Local Search Algorithms for Adjustable Robust Optimization Problems with..

Igor Malheiros - Iterated Local Search Algorithms for Adjustable Robust Optimization Problems with..

More information on our webpage: https://sites.google.com/view/row-series/home.

Robust Optimization | Lecture 23 (Part 2) | Applied Deep Learning

Robust Optimization | Lecture 23 (Part 2) | Applied Deep Learning

Towards Deep

Irina Wang - Fast Online Distributionally Robust Optimization via Data Compression

Irina Wang - Fast Online Distributionally Robust Optimization via Data Compression

More infos on our webpage: https://sites.google.com/view/row-series/home.

Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."

Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."

Intersections between Control,

1Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

1Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Jerry Li (Microsoft Research) https://simons.berkeley.edu/talks/tbd-62 Frontiers of Deep

Phebe Vayanos, Robust Optimization & Sequential Decision-Making

Phebe Vayanos, Robust Optimization & Sequential Decision-Making

What is

Oracle-Efficient Online Learning or: How to Use Non-Robust Optimization for Robust Learning

Oracle-Efficient Online Learning or: How to Use Non-Robust Optimization for Robust Learning

Nika Haghtalab (UC Berkeley) https://simons.berkeley.edu/talks/tbd-478 Quantifying Uncertainty:

Mathematical Foundations of Robust and Distributionally Robust Optimization

Mathematical Foundations of Robust and Distributionally Robust Optimization

(13 septembre 2021 / September 13, 2021) Seminar Applied Mathematics/Mathématiques appliquées ...