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Learning the committor, free energy profile, and rates with ML-driven path sampling simulations
Presenter
- Roberto Covino
April 22, 2024
IMSI
The role of fractional diffusion in the optimal recovery of partial differential equations without boundary conditions
Presenter
- Andrea Bonito
April 16, 2024
ICERM
Multiscale and Data-driven Methods for the Simulation of Materials Failure
Presenter
- James Kermode
April 11, 2024
IMSI
Machine learning at the mesoscale: advances in analyzing and coarse-graining via data-driven approaches
Presenter
- Rose Cersonsky
April 11, 2024
IMSI
Learning Merton’s Strategies in an Incomplete Market: Recursive Entropy Regularization and Biased Gaussian Exploration
Presenter
- XunYu Zhou
February 5, 2024
IMSI
Minimum distance estimators and inverse bounds for latent probability measures
Presenter
- Xuanlong Nguyen
December 12, 2023
IMSI
Bias and Variance of Bayes Cross Validation in Singular Learning Theory
Presenter
- Sumio Watanabe
December 11, 2023
IMSI
Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA
Presenter
- Amira Abbas
October 20, 2023
IPAM
Rahul Mazumder - Discrete Optimization-aided Structured Learning at Scale - IPAM at UCLA
Presenter
- Rahul Mazumder
March 3, 2023
IPAM
Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts & loss functions
Presenter
- Stefanie Jegelka
March 2, 2023
IPAM