MO2.R2.1

Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification

Austin Goddard, Kang Du, Yu Xiang, University of Utah, United States
Session:
Binary Classification
Track:
8: Machine Learning
Location:
Ypsilon I-II-III
Presentation Time:
Mon, 8 Jul, 11:50 - 12:10
Session Chair:
Albert Guillén i Fàbregas, University of Cambridge
Presentation
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Discussion
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Session MO2.R2
MO2.R2.1: Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification
Austin Goddard, Kang Du, Yu Xiang, University of Utah, United States
MO2.R2.2: Benefits of Stochastic Mirror Descent in High-Dimensional Binary Classification
Nithin Varma Kanumuri, Babak Hassibi, Caltech, United States
MO2.R2.3: Regularized Linear Regression for Binary Classification
Danil Akhtiamov, Reza Ghane, Babak Hassibi, Caltech, United States
Resources
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