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Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II
Presenter
- Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I
Presenter
- Russell Impagliazzo
November 13, 2017
IAS
Daniel Liang - Learning Beyond Stabilizer States - IPAM at UCLA
Presenter
- Daniel Liang
October 18, 2023
IPAM
Learning Over-Parameterized Neural Networks on Structured Data
Presenter
- Yingyu Liang
November 27, 2018
IPAM
Conservative Splitting Schemes for the PDEs in Metamaterial Electromagnetics and Fluid Dynamics
Presenter
- Dong Liang
June 28, 2018
ICERM
Transfer Free Energy and Building Blocks for Beta Barrel Membrane Proteins: Structures, Topology, and Stabilities Prediction
Presenter
- Jie Liang
July 20, 2015
IMA
Two Distributed Optimization Algorithms for Machine Learning
Presenter
- Yingyu Liang
February 25, 2015
IMA