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Thien Le - On the hardness of learning under symmetries - IPAM at UCLA
Presenter
- Thien Le
February 27, 2024
IPAM
Bridging Machine Learning and Mathematical Modeling to Decipher Tumor heterogeneity and Therapy Resistance
Presenter
- Xiufen Zou
July 31, 2025
ICERM
Computational Mean-field Games: From Conventional Methods to Deep Generative Models
Presenter
- Rongjie Lai
March 12, 2024
ICERM
Randomization, Neutrality, and Fairness: "Patience Ensures Fairness"
Presenter
- Florian Brandl
October 27, 2023
SLMath
Randomization, Neutrality, and Fairness: "Uncovering the Impact of Policy on Redistricting"
October 26, 2023
SLMath
Randomization, Neutrality, and Fairness: "Fair Division of Indivisibles"
Presenter
- Ruta Mehta
October 25, 2023
SLMath
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
Shedding Light on How the Brain Learns: Smart Experimental Systems and Machine Learning in Neurogenetics
Presenter
- Hang Lu
July 28, 2025
ICERM
Xuexin Wei - Learning and Inference with Prior Knowledge - IPAM at UCLA
Presenter
- Xuexin Wei
September 25, 2024
IPAM