Intelligent systems that interact with humans typically require input in the form of demonstrations and/or advice for optimal decision making. In more traditional systems, such in...
Error backpropagation is an extremely effective algorithm for assigning credit in artificial neural networks. However, weight updates under Backprop depend on lengthy recursive c...
David Balduzzi, Hastagiri Vanchinathan, Joachim M....
Understanding spatio-temporal resource preferences is paramount in the design of policies for sustainable development. Unfortunately, resource preferences are often unknown to pol...
Stefano Ermon, Yexiang Xue, Russell Toth, Bistra N...
The overarching goal of music theory is to explain the inner workings of a musical composition by examining the structure of the composition. Schenkerian music theory supposes tha...
We investigate a problem at the intersection of machine learning and security: training-set attacks on machine learners. In such attacks an attacker contaminates the training data...