Applied Harmonic Analysis, Massive Data Sets, Machine Learning, and Signal Processing
Videos from CMO Workshop
Yann LeCun, Facebook
Monday Oct 17, 2016 09:00 - 10:05
Obstacles to AI, Mathematical and Otherwise
Afonso Bandeira, Courant Institute of Mathematical Sciences
Monday Oct 17, 2016 10:12 - 10:47
Fundamental limits and algorithms for recovery under matrix spike models
Hrushikesh Mhaskar, Claremont Graduate University
Monday Oct 17, 2016 10:49 - 11:17
Deep vs. shallow networks
Gilad Lerman, University of Minnesota
Monday Oct 17, 2016 11:47 - 12:18
Robust Low-rank Modeling for High-dimensional and Massive Datasets
Alexandre d'Aspremont, CNRS - ENS
Monday Oct 17, 2016 12:00 - 12:31
Regularized Nonlinear Acceleration
Leonidas Guibas, Stanford University
Tuesday Oct 18, 2016 09:00 - 10:08
Functional Maps and Functional Map Networks for Joint Data Analysis
Alexander Cloninger, University of California San Diego
Tuesday Oct 18, 2016 10:12 - 10:46
Provable Approximations of Deep Nets
Ronen Talmon, Technion - IIT
Tuesday Oct 18, 2016 11:00 - 11:40
Multimodal signal processing using Alternating Diffusion
Boaz Nadler, Weizmann Institute of Science
Tuesday Oct 18, 2016 15:00 - 15:31
The discrete sign problem: uniqueness, stable recovery and phase retrieval applications
Shuyang Ling, University of California Davis
Tuesday Oct 18, 2016 15:32 - 15:58
Rapid, robust and reliable blind deconvolution via nonconvex optimization
Eero Simoncelli, New York University
Tuesday Oct 18, 2016 16:30 - 17:39
Cascaded gain control representations
Benjamin Recht, University of California, Berkeley
Wednesday Oct 19, 2016 16:30 - 16:59
The Deceptive Nature of Generalization in Machine Learning
John Wright, Columbia University
Wednesday Oct 19, 2016 17:03 - 17:34
Nonconvex Recovery of Low-Complexity Models
Joel Tropp, California Institute of Technology
Thursday Oct 20, 2016 09:00 - 09:30
Universality laws for randomized dimension reduction
Soledad Villar, Johns Hopkins
Thursday Oct 20, 2016 09:33 - 10:00
Clustering subgaussian mixtures via semidefinite programming
Nir Sharon, Princeton University
Thursday Oct 20, 2016 10:02 - 10:34
Synchronization over Cartan motion groups via contraction
Deanna Needell, Claremont McKenna College
Thursday Oct 20, 2016 11:00 - 11:29
Batched Stochastic Gradient Descent with Weighted Sampling
Pete Casazza, University of Missouri
Thursday Oct 20, 2016 15:00 - 15:28
Phase Retrieval
Roy Lederman, Princeton University
Thursday Oct 20, 2016 15:31 - 16:02
Simultaneous Alignment and Classification - A Representation Theory Perspective
Yaniv Plan, University of British Columbia
Thursday Oct 20, 2016 16:30 - 16:55
A simple tool for bounding the deviation of random matrices on geometric sets, with applications
Yuxin Chen, Stanford University
Thursday Oct 20, 2016 17:00 - 17:31
An efficient algorithm for joint alignment from pairwise differences
Bernhard Bodmann, University of Houston
Friday Oct 21, 2016 09:00 - 09:30
Explicit error bounds for compressed phase retrieval with frames
Rayan Saab, University of California San Diego
Friday Oct 21, 2016 09:32 - 09:54
Fast and Robust Phase Retrieval from Local Measurements
Gitta Kutyniok, LMU Munich
Friday Oct 21, 2016 10:00 - 10:31
Feature Selection from Real-World Data with Non-Linear Observations
