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Computational/Statistical Gaps for Learning Neural Networks
Presenter
- Adam Klivans
April 13, 2021
IMSI
Learning Discrete Markov Random Fields with Nearly Optimal Runtime and Sample Complexity
Presenter
- Adam Klivans
March 20, 2019
ICERM
Adam Elmachtoub - Embedding Fairness into Pricing Algorithms for Vehicle Sharing Systems
Presenter
- Adam Elmachtoub
January 25, 2024
IPAM
Adam Wagner - Finding counterexamples to conjectures via reinforcement learning - IPAM at UCLA
Presenter
- Adam Wagner
February 14, 2023
IPAM
Adam Topaz - The Liquid Tensor Experiment - IPAM at UCLA
Presenter
- Adam Topaz
February 13, 2023
IPAM
Sparse distribution problems for some dynamical systems
Presenter
- Adam Kanigowski
October 4, 2022
IAS
Contributions to deep learning using a mathematical approach: improved model uncertainty, certified robust models, and faster training of Neural ODEs
Presenter
- Adam Oberman
October 5, 2020
IPAM