Introduction to Machine Learning

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)