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Randomization, Neutrality, and Fairness: "Best of Both Worlds Fairness"
Presenter
- Haris Aziz
October 24, 2023
SLMath
Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice"
Presenter
- Nisarg Shah
October 24, 2023
SLMath
Randomization, Neutrality, and Fairness: Probability Spaces Driven by Geometric Constraints
Presenter
- Wesley Pegden
October 23, 2023
SLMath
Introductory Workshop: Algorithms, Fairness, and Equity: "Fair Division Using Topological Combinatorics"
Presenter
- Francis Su
August 31, 2023
SLMath
Introductory Workshop: Algorithms, Fairness, and Equity: "Markov Chains and Redistricting"
Presenter
- Sarah Cannon
August 31, 2023
SLMath
A three-pronged approach to using machine learning in knot theory
Presenter
- Mark Hughes
May 24, 2023
ICERM
Studying Physician Work and Wellbeing using Machine Learning and Network Science
Presenter
- Retsef Levi
May 17, 2023
IMSI
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA
Presenter
- Stefan Chmiela
March 31, 2022
IPAM
Tensor-train decomposition and its applications in machine learning
Presenter
- Ivan Oseledets
April 21, 2021
IPAM
Fundamentals of Artificial Intelligence and Machine Learning (Part 2/2)
Presenter
- Frank Noe
September 17, 2020
IPAM
Fundamentals of Artificial Intelligence and Machine Learning (Part 1/2)
Presenter
- Frank Noe
September 15, 2020
IPAM