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Approximation Theory in Transcendental Dynamics Pt IV
Presenter
- David MartÃ-Pete
February 17, 2022
SLMath
Approximation Theory in Transcendental Dynamics Pt III
Presenter
- Vasiliki Evdoridou
February 16, 2022
SLMath
Approximation Theory in Transcendental Dynamics Pt II
Presenter
- Vasiliki Evdoridou
February 15, 2022
SLMath
Approximation Theory in Transcendental Dynamics Pt I
Presenter
- David MartÃ-Pete
February 14, 2022
SLMath
Optimization Methods for Large Scale Distributed Deep Learning
Presenter
- Rio Yokota
September 28, 2018
IPAM
Invariants of Error-Correcting Codes: Theory and Applications
Presenter
- Giuseppe Cotardo
August 28, 2025
ICERM
Invariants of Error-Correcting Codes: Theory and Applications
Presenter
- Giuseppe Cotardo
August 26, 2025
ICERM
Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo
Presenter
- Guang Lin
July 16, 2025
IPAM
Ramon van Handel - Strong convergence I - Minicourse, Pt. 1 of 2 - IPAM at UCLA
Presenter
- Ramon van Handel
February 25, 2025
IPAM
Ramon van Handel - Strong convergence I - Minicourse, Pt. 1 of 2 - IPAM at UCLA
Presenter
- Ramon van Handel
February 25, 2025
IPAM
Wu Lin - A framework for designing (non-diagonal) adaptive training methods - IPAM at UCLA
Presenter
- Wu Lin
October 14, 2024
IPAM
Learning the committor, free energy profile, and rates with ML-driven path sampling simulations
Presenter
- Roberto Covino
April 22, 2024
IMSI