On the design of robust classifiers for computer vision Provider: Videolectures.NET Language: en
Learning Optimal Subsets with Implicit User Preferences Provider: Videolectures.NET Language: en
Online Learning with Composite Loss Functions Provider: Videolectures.NET Language: en
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss Provider: Videolectures.NET Language: en
Dropout Training as Adaptive Regularization Provider: Videolectures.NET Language: en
The landscape of the loss surfaces of multilayer networks Provider: Videolectures.NET Language: en
Calibrated Multi‑Task Learning Provider: Videolectures.NET Language: en
Prediction with Expert Advice for the Brier Game Provider: Videolectures.NET Language: en
PAC-Bayes-Empirical-Bernstein Inequality Provider: Videolectures.NET Language: en
Algebra II Module 1, Topic C, Lesson 22 Provider: Engage NY Language: en
Regularized Off-Policy TD-Learning Provider: Videolectures.NET Language: en
Training Structured Predictors for Novel Loss Functions Provider: Videolectures.NET Language: en
Volume Regularization for Binary Classification Provider: Videolectures.NET Language: en
Algebra II Module 1, Topic C, Lesson 23 Provider: Engage NY Language: en