Inverse Problems and Machine Learning
Feb 9-11, 2018

Inverse Problems and Machine Learning was held February 9 - 11, 2018 in Pasadena, California, USA, on the campus of the California Institute of Technology.   Co-organized by Lorenzo Rosasco and Andrew Stuart, the meeting brought together researchers interested in the computational and mathematical aspects of the inverse problems that arise in machine learning.



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Speakers


✦ Jens Behrmann, University of Bremen
✦ Misha Belkin, Ohio State University
✦ Joan Bruna, NYU
✦ Cristoph Brune, University of Twente
✦ Venkat Chandrasekaran, California Institute of Technology
✦ Pratik Chaudhari, UCLA
✦ Matthew Dunlop, Caltech
✦ Nicolas Flammarion, UC, Berkeley
✦ Rémi Gribonval, Inria
✦ Eldad Haber, University of British Columbia
✦ Jiequn Han, Princeton University
✦ Nikola Kovachki, Caltech
✦ Dirk Lorenz, TU Braunschweig
✦ Xiyang Luo, UCLA
✦ Mauro Maggioni, Johns Hopkins University
✦ Michael Mahoney, UC, Berkeley
✦ Hrushikesh Mhaskar, Claremont Graduate University
✦ Adam Oberman, McGill University
✦ Stanley Osher, UCLA
✦ Braxton Osting, University of Utah
✦ Sergiy Pereverzyev, Jr., University of Innsbruck
✦ Ekaterina Rapinchuk, Michigan State University
✦ Lorenzo Rosasco, Massachusetts Institute of Technology
✦ Johannes Schmidt-Hieber, Leiden University
✦ Dejan Slepcev, Carnegie Mellon University
✦ Stefano Soatto, UCLA/AWS
✦ Bharath Sriperumbudur, Pennsylvania State University
✦ Pengchuan Zhang, Microsoft Research AI