Media Summary: For more information on the webinar you can subscribe to our mailings list calendar on ... DEPARTMENT OF APPLIED MATHEMATICS AND THEORETICAL PHYSICS, UNIVERSITY OF CAMBRIDGE Recording of the ... This lecture was held at The University of Oslo, May 24, 2007 and was part of the Abel Prize Lectures in connection with the Abel ...

Wolfram Wiesemann Randomized Assortment Optimization Row Presentation - Detailed Analysis & Overview

For more information on the webinar you can subscribe to our mailings list calendar on ... DEPARTMENT OF APPLIED MATHEMATICS AND THEORETICAL PHYSICS, UNIVERSITY OF CAMBRIDGE Recording of the ... This lecture was held at The University of Oslo, May 24, 2007 and was part of the Abel Prize Lectures in connection with the Abel ... Vahab Mirrokni, Google Learning, Algorithm Design and Beyond ... MIT's Josh Angrist—aka Master Joshway—introduces us to our most powerful weapon: Join Ed Pegg Jr. as he explores mathematical games and puzzles. Follow us on our official social media channels.

Given the increasing use of machine learning (ML) models for decisions that directly affect humans, it is essential that these ... Lecture 7 (part 1/43 of MS-E2121 - Linear Boeing Distinguished Colloquium, January 22, 2026 Per-Gunnar Martinsson University of Texas at Austin Title: A Google Algorithms Seminar Talk, 3/28/17,

Photo Gallery

Wolfram Wiesemann - Randomized Assortment Optimization (ROW Presentation)
Inspiration Exchange -  Scaling Causal Reasoning in LLM
EC'22: When is Assortment Optimization Optimal?
Randomized Selection 3: Introducing randomized selection
Ofer Zeitouni: Large Deviations at Work
Sketching and Randomization for Distributed Submodular and Coverage Optimization
Live CEOing Ep 391: Optimization Features Review for Wolfram Language [12.2]
Randomized Trials: The Ideal Weapon
Mathematical Games Hosted by Ed Pegg Jr. [Episode 41: Geology, AI and Recent Advances]
Willem Waegeman: “Disentangling aleatoric and epistemic uncertainty in ML"
MS-E2121 - Linear Optimization - Lecture 7.1
Boeing Colloquium: Randomized Algorithms for Linear Algebraic Computations
Sponsored
View Detailed Profile
Wolfram Wiesemann - Randomized Assortment Optimization (ROW Presentation)

Wolfram Wiesemann - Randomized Assortment Optimization (ROW Presentation)

For more information on the webinar you can subscribe to our mailings list calendar on ...

Inspiration Exchange -  Scaling Causal Reasoning in LLM

Inspiration Exchange - Scaling Causal Reasoning in LLM

DEPARTMENT OF APPLIED MATHEMATICS AND THEORETICAL PHYSICS, UNIVERSITY OF CAMBRIDGE Recording of the ...

EC'22: When is Assortment Optimization Optimal?

EC'22: When is Assortment Optimization Optimal?

Paper

Randomized Selection 3: Introducing randomized selection

Randomized Selection 3: Introducing randomized selection

See course details here: https://cs.pomona.edu/classes/cs140/archive/2025-26fall/

Ofer Zeitouni: Large Deviations at Work

Ofer Zeitouni: Large Deviations at Work

This lecture was held at The University of Oslo, May 24, 2007 and was part of the Abel Prize Lectures in connection with the Abel ...

Sponsored
Sketching and Randomization for Distributed Submodular and Coverage Optimization

Sketching and Randomization for Distributed Submodular and Coverage Optimization

Vahab Mirrokni, Google https://simons.berkeley.edu/talks/vahab-mirrokni-2016-11-17 Learning, Algorithm Design and Beyond ...

Live CEOing Ep 391: Optimization Features Review for Wolfram Language [12.2]

Live CEOing Ep 391: Optimization Features Review for Wolfram Language [12.2]

In this episode of Live CEOing, Stephen

Randomized Trials: The Ideal Weapon

Randomized Trials: The Ideal Weapon

MIT's Josh Angrist—aka Master Joshway—introduces us to our most powerful weapon:

Mathematical Games Hosted by Ed Pegg Jr. [Episode 41: Geology, AI and Recent Advances]

Mathematical Games Hosted by Ed Pegg Jr. [Episode 41: Geology, AI and Recent Advances]

Join Ed Pegg Jr. as he explores mathematical games and puzzles. Follow us on our official social media channels.

Willem Waegeman: “Disentangling aleatoric and epistemic uncertainty in ML"

Willem Waegeman: “Disentangling aleatoric and epistemic uncertainty in ML"

Given the increasing use of machine learning (ML) models for decisions that directly affect humans, it is essential that these ...

MS-E2121 - Linear Optimization - Lecture 7.1

MS-E2121 - Linear Optimization - Lecture 7.1

Lecture 7 (part 1/43 of MS-E2121 - Linear

Boeing Colloquium: Randomized Algorithms for Linear Algebraic Computations

Boeing Colloquium: Randomized Algorithms for Linear Algebraic Computations

Boeing Distinguished Colloquium, January 22, 2026 Per-Gunnar Martinsson University of Texas at Austin Title:

Assortment Optimization Under a Mixture of Mallows Distribution Over Preferences

Assortment Optimization Under a Mixture of Mallows Distribution Over Preferences

A Google Algorithms Seminar Talk, 3/28/17,