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Randomization, Neutrality, and Fairness: When Personalization Harms Performance
Presenter
- Berk Ustun
October 23, 2023
SLMath
Gregoire Montavon - Towards Higher-Order and Disentangled Explainable AI - IPAM at UCLA
Presenter
- Gregoire Montavon
January 11, 2023
IPAM
Anouar Benali - multideterminant many-body methods to describe ground and excited state properties
Presenter
- Anouar Benali
May 25, 2022
IPAM
Reliable predictions? Counterfactual predictions? Equitable treatment? Some recent progress in predictive inference
Presenter
- Emmanuel Candes
April 11, 2021
ICERM
Neural network verification as piecewise linear optimization
Presenter
- Joseph Huchette
February 23, 2021
IPAM
Almost-sure exponential mixing in stochastic fluid mechanics and Batchelor-regime passive scalar turbulence
Presenters
- Jacob Bedrossian
- Alex Blumenthal
January 14, 2021
IPAM
Assumption-free prediction intervals for black-box regression algorithms
Presenter
- Aaditya Ramdas
April 21, 2020
IAS
Connectome-based modeling of real world clinical outcomes in addictions
Presenter
- Sarah Yip
February 19, 2020
IPAM
Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation
Presenter
- Sergei Kalinin
October 17, 2019
IPAM
Machine-learning for materials and physics discovery through symbolic regression and kernel methods
Presenter
- Richard Hennig
September 26, 2019
IPAM
Exploiting the 3D Geometry and the Structure of the World in Deep Learning
Presenter
- Ersin Yumer
May 24, 2019
IPAM