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Introduction to Machine Learning
10-601B, Fall 2016
School of Computer Science
Carnegie Mellon University
Active Learning
Additional reading
Active Learning, Burr Settles, 2012
Active Learning – Modern Learning Theory, Balcan & Urner, 2015
What you should know after
What is Active Learning
Batch Active Learning
Selective Sampling
Active learning could provide exponential improvements in label complexity (both theoretically and practically)!
Common heuristics (e.g., those based on uncertainty sampling)
Sampling bias
Safe Disagreement Based Active Learning Schemes
Understand how they operate precisely in the realizable case (noise free scenarios)