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Understanding diffusion in complex materials using machine learning and a variational approach
Presenter
- Dallas Trinkle
May 16, 2024
IMSI
A local, low-dimensional Machine Learning based PDE Solver for modeling engineering applications
Presenter
- Rishikesh Ranade
March 23, 2024
ICERM
Pasin Manurangasi - Complex Adversarially Robust Proper Learning of Halfspaces w/ Agnostic Noise
Presenter
- Pasin Manurangasi
February 27, 2024
IPAM
Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees
Presenter
- Abhineet Agarwal
February 27, 2024
IPAM
Randomization, Neutrality, and Fairness: "Bringing Causality into Fairness: Application to Pretrial Public Safety Assessment"
Presenter
- Kosuke Imai
October 24, 2023
SLMath
Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA
Presenter
- Vedran Dunjko
October 19, 2023
IPAM
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA
Presenter
- Hsin-Yuan Huang
October 18, 2023
IPAM
Neuro-Causal Factor Analysis: Structure learning and identifiability
Presenter
- Alex Markham
October 10, 2023
IMSI
Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors"
Presenter
- Jeremias Sulam
August 30, 2023
SLMath
