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On Consistent Surrogate Risk Minimization and Property Elicitation

Published on Aug 20, 20152196 Views

Shivani Agarwal

Surrogate risk minimization is a popular framework for supervised learning; property elicitation is a widely studied area in probability forecasting, machine learning, statistics and economics. In thi

COLT 2015 - Paris

Related categories

Active LearningComputational Learning TheoryOn-line LearningReinforcement LearningSemi-supervised Learning

Chapter list

On Consistent Surrogate Risk Minimization and Property Elicitation00:00
Surrogate Risk Minimization - 100:31
Surrogate Risk Minimization - 200:45
Surrogate Risk Minimization - 300:48
Surrogate Risk Minimization - 400:49
Surrogate Risk Minimization - 500:52
Surrogate Risk Minimization - 600:52
Surrogate Risk Minimization - 701:03
Surrogate Risk Minimization - 801:08
Surrogate Risk Minimization - 901:16
Calibrated Surrogates01:40
Property Elicitation - 101:46
Property Elicitation - 202:06
Property Elicitation - 302:15
Property Elicitation - 402:24
Strictly Proper Scoring Rules for Property Elicitation02:47
Our Paper - 102:55
Our Paper - 203:15
Our Paper - 303:35
Our Paper - 403:48
Calibrated Surrogates via Linear Properties - 103:48
Calibrated Surrogates via Linear Properties - 204:05
Calibrated Surrogates via Linear Properties - 304:26
Calibrated Surrogates via Linear Properties - 404:41
Calibrated Surrogates via Nonlinear Properties04:59
Poster Session05:13