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Statistical Learning and Bayesian Inference and Topology
Presenter
- Sayan Mukherjee
October 2, 2013
IMA
Blake Bordelon - Infinite limits and scaling laws of neural networks - IPAM at UCLA
Presenter
- Blake Bordelon
October 16, 2024
IPAM
Cengiz Pehlevan - 2 stories in mechanistic interpretation of natural & artificial neural computation
Presenter
- Cengiz Pehlevan
October 15, 2024
IPAM
Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
Presenter
- Ellen Vitercik
February 28, 2023
IPAM
Thomas Laurent - Feature Learning and Generalization on a Discrete Data Model - IPAM at UCLA
Presenter
- Thomas Laurent
February 28, 2023
IPAM
Physics to Machine learning and machine leaning back to physics
Presenter
- Pierre Gentine
November 1, 2022
IMSI
Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT
Presenter
- Marivi Fernandez-Serra
May 26, 2022
IPAM
Implicit and Explicit Regularization in Deep Neural Networks
Presenter
- Babak Hassibi
May 18, 2021
IPAM
Tutorial - Algorithms for Sparse Optimization and Machine Learning
Presenter
- Stephen Wright
March 27, 2012
IMA