Applied Harmonic Analysis, Massive Data Sets, Machine Learning, and Signal Processing

Videos from BIRS Workshop 16w5136

, Facebook
- 10:05
Obstacles to AI, Mathematical and Otherwise
Watch video | Download video: 201610170900-LeCun.mp4 (248M)
, Courant Institute of Mathematical Sciences
- 10:47
Fundamental limits and algorithms for recovery under matrix spike models
Watch video | Download video: 201610171012-Bandeira.mp4 (133M)
, California Institute of Technology and Claremont Graduate University
- 11:17
Deep vs. shallow networks
Watch video | Download video: 201610171049-Mhaskar.mp4 (114M)
, University of Minnesota
- 12:18
Robust Low-rank Modeling for High-dimensional and Massive Datasets
Watch video | Download video: 201610171147-Lerman.mp4 (109M)
, CNRS - ENS
- 12:31
Regularized Nonlinear Acceleration
Watch video | Download video: 201610171200-dAspremont.mp4 (120M)
, INRIA
- 17:51
Convex (and tractable?) formulations for single hidden layer neural networks
Watch video | Download video: 201610171717-Bach.mp4 (142M)
, Stanford University
- 10:08
Functional Maps and Functional Map Networks for Joint Data Analysis
Watch video | Download video: 201610180900-Guibas.mp4 (273M)
, Yale University
- 10:46
Provable Approximations of Deep Nets
Watch video | Download video: 201610181012-Cloninger.mp4 (140M)
, Technion
- 11:40
Multimodal signal processing using Alternating Diffusion
Watch video | Download video: 201610181100-Talmon.mp4 (160M)
, Weizmann Institute of Science
- 15:31
The discrete sign problem: uniqueness, stable recovery and phase retrieval applications
Watch video | Download video: 201610181500-Nadler.mp4 (142M)
, University of California Davis
- 15:58
Rapid, robust and reliable blind deconvolution via nonconvex optimization
Watch video | Download video: 201610181532-Ling.mp4 (112M)
, New York University
- 17:39
Cascaded gain control representations
Watch video | Download video: 201610181630-Simoncelli.mp4 (290M)
, University of California, Berkeley
- 16:59
The Deceptive Nature of Generalization in Machine Learning
Watch video | Download video: 201610191630-Recht.mp4 (114M)
, Columbia University
- 17:34
Nonconvex Recovery of Low-Complexity Models
Watch video | Download video: 201610191703-Wright.mp4 (130M)
, California Institute of Technology
- 09:30
Universality laws for randomized dimension reduction
Watch video | Download video: 201610200900-Tropp.mp4 (252M)
, New York University
- 10:00
Clustering subgaussian mixtures via semidefinite programming
Watch video | Download video: 201610200933-Villar.mp4 (104M)
, Princeton University
- 10:34
Synchronization over Cartan motion groups via contraction
Watch video | Download video: 201610201002-Sharon.mp4 (134M)
, Claremont McKenna College
- 11:29
Batched Stochastic Gradient Descent with Weighted Sampling
Watch video | Download video: 201610201100-Needell.mp4 (126M)
, University of Missouri
- 15:28
Phase Retrieval
Watch video | Download video: 201610201500-Casazza.mp4 (112M)
, Princeton University
- 16:02
Simultaneous Alignment and Classification - A Representation Theory Perspective
Watch video | Download video: 201610201531-Lederman.mp4 (124M)
, University of British Columbia
- 16:55
A simple tool for bounding the deviation of random matrices on geometric sets, with applications
Watch video | Download video: 201610201630-Plan.mp4 (140M)
, Stanford University
- 17:31
An efficient algorithm for joint alignment from pairwise differences
Watch video | Download video: 201610201700-Chen.mp4 (168M)
, University of Houston
- 09:30
Explicit error bounds for compressed phase retrieval with frames
Watch video | Download video: 201610210900-Bodmann.mp4 (120M)
, UC San Diego
- 09:54
Fast and Robust Phase Retrieval from Local Measurements
Watch video | Download video: 201610210932-Saab.mp4 (84M)
, Technische Universität Berlin
- 10:31
Feature Selection from Real-World Data with Non-Linear Observations
Watch video | Download video: 201610211000-Kutyniok.mp4 (111M)