video lecture From Classical Statistics to Modern ML: the Lessons of Deep Learning October 16, 2019 Mikhail Belkin https://www.ias.edu/math/wtdl Read More
video lecture On the Connection between Neural Networks and Kernels: a Modern Perspective October 16, 2019 Simon Du https://www.ias.edu/math/wtdl Read More
video lecture Neural Models for Speech and Language: Successes, Challenges, and the Relationship to Computational Models of the Brain October 16, 2019 Michael Collins https://www.ias.edu/math/wtdl Read More
video lecture On Large Deviation Principles for Large Neural Networks October 16, 2019 Joan Bruna https://www.ias.edu/math/wtdl Read More
video lecture Energy-based Approaches to Representation Learning October 16, 2019 Yann LeCun https://www.ias.edu/math/wtdl Read More
video lecture Are All Features Created Equal? October 15, 2019 Aleksander Madry https://www.ias.edu/math/wtdl Read More
video lecture Overcoming the Curse of Dimensionality and Mode Collapse October 15, 2019 Ke Li https://www.ias.edu/math/wtdl Read More
video lecture Is optimization the right language to understand deep learning? October 15, 2019 Sanjeev Arora https://www.ias.edu/math/wtdl Read More
video lecture Spotlight Talks October 15, 2019 Amir Asadi, Dimitris Kalimeris https://www.ias.edu/math/wtdl Read More
video lecture Fixing GAN optimization through competitive gradient descent October 15, 2019 Anima Anandkumar https://www.ias.edu/math/wtdl Read More
