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Dan Roy - Size of Teachers as Measure of Data Complexity: PAC-Bayes Excess Risk Bounds & Scaling Law
Presenter
- Dan Roy
October 16, 2024
IPAM
Wu Lin - A framework for designing (non-diagonal) adaptive training methods - IPAM at UCLA
Presenter
- Wu Lin
October 14, 2024
IPAM
Houlin Xin - AI inroads in imaging sciences for materials research - IPAM at UCLA
Presenter
- Houlin Xin
October 24, 2022
IPAM
Nigel Browning - Inpainting Approaches to Dose Control in High Resolution and In-Situ STEM
Presenter
- Nigel Browning
October 24, 2022
IPAM
Fanny Yang - Surprising phenomena of max-lp-margin classifiers in high dimensions - IPAM at UCLA
Presenter
- Fanny Yang
October 17, 2024
IPAM
Jean-Claude Zambrini - Integrability of Hamilton-Jacobi-Bellman equation - IPAM at UCLA
Presenter
- Jean-Claude Zambrini
April 30, 2025
IPAM
Jarrod McClean - The role of data, precomputation, and communication in a quantum learning landscape
Presenter
- Jarrod McClean
October 20, 2023
IPAM
Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA
Presenter
- Vedran Dunjko
October 19, 2023
IPAM
Michael Herbst - Algorithmic differentiation (AD) for plane-wave DFT - IPAM at UCLA
Presenter
- Michael Herbst
October 9, 2025
IPAM
Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: II
Presenter
- Yingda Cheng
August 28, 2025
SLMath
Joshua Vogelstein - It's about time: learning in a dynamic world - IPAM at UCLA
Presenter
- Joshua Vogelstein
November 22, 2024
IPAM
Paata Ivanisvili - Learning low degree functions in logarithmic number of random queries
Presenter
- Paata Ivanisvili
February 10, 2022
IPAM