Saturday, February 25, 2017

Saturday Morning Videos: Interactive Learning workshop, Simons Institute, Berkeley

The Simons Institute at Berkeley sponsored a workshop on Interactive Learning the week before last. The videos are in. Thank you to the organizers Nina Balcan, Emma Brunskill, Robert Nowak , Andrea Thomaz . Here is the introduction to the workshop:
Interactive learning is a modern machine learning paradigm of significant practical and  theoretical interest, where the algorithm and the domain expert engage in a two-way dialog to facilitate more accurate learning from less data compared to the classical approach of passively observing labeled data. This workshop will explore several topics related to interactive learning broadly defined, including active learning, in which the learner chooses which examples it wants labeled; explanation-based learning, in which the human doesn't merely tell the machine whether its predictions are right or wrong, but provides reasons in a form that is meaningful to both parties; crowdsourcing, in which labels and other information are solicited from a gallery of amateurs; teaching and learning from demonstrations, in which a party that knows the concept being learned provides helpful examples or demonstrations; and connections and applications to recommender systems, automated tutoring and robotics. Key questions we will explore include what are the right learning models in each case, what are the demands on the learner and the human interlocutor, and what kinds of concepts and other structures can be learned. A main goal of the workshop is to foster connections between theory/algorithms and practice/applications.

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