Paris Machine Learning #4 Season 3: Netflix, CRISPR, SFdS, Craft.ai
We will be at Salle Pierre Nicole (Maison des Mines) thanks to Société Française de Statistique. The networking event is sponsored by MathWo
Challenge: Computational Imaging for VLBI Image Reconstruction
Here is a reconstruction endeavor that could eventually help the Event Horizon Telescope: Computational Imaging for VLBI Image Reconstructio
Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation
Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation by Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin While the recent t
Perfect Recovery Conditions For Non-Negative Sparse Modeling / Compressi...
Perfect Recovery Conditions For Non-Negative Sparse Modeling by Yuki Itoh, Marco F. Duarte, Mario Parente Sparse modeling has been widely an
Book: Convex Optimization: Algorithms and Complexity, Sébastien Bubeck
Sébastien Bubeck mentioned it on his blog here is his new introduction to convex optimization entitled: Convex Optimization: Algorithms and
Thesis: High-Dimensional Big Data Processing with Dictionary Learning an...
High-Dimensional Big Data Processing with Dictionary Learning and Diffusion Maps by Aviv Rotbart Algorithms for modern Big Data analysis dea
Universality laws for randomized dimension reduction, with applications
It's been mentioned by a few of you, Giuseppe being the first (thanks !) Universality laws for randomized dimension reduction, with applicat
Job: PhD studentships and maybe a postdoc, Iowa State University
Namrata just let me know of the following opportunities in her group (for those interested in osting similar job opportunities, do not hesit
CSJobs: Postdocs / PhDs / internships opportunities, Saclay, France
Jerome let me know of a few postdoc/PhD/internship opportunities in his lab, here they are: Stages “Sparse blind source separation from mult
Slides and Videos: Randomized Numerical Linear Algebra reading group, Be...
Laura Grigori co-organized with Jim Demmel, Ming Gu, Michael Mahoney, the Randomized Numerical Linear Algebra reading group at Berkeley this
Blind and reference-free fluorescence lifetime estimation via consumer t...
Ayush just sent me the following: Hi Igor: I have been an avid follower of you blog since time immemorial. ;) I am not sure if the content o
Scampi: a robust approximate message-passing framework for compressive i...
Scampi: a robust approximate message-passing framework for compressive imaging by Jean Barbier, Eric Tramel, Florent Krzakala Reconstruction
Machine Learning Summer School 2016, University of Cadiz, Spain, May 11t...
Joan just sent me the following: Dear Igor, I hope you are doing well. I just wanted to let you know that we are organizing the upcoming mac
PCMI Summer School, "The Mathematics of Data", June 30 – July 20, 2016, ...
Michael sent me the following last week: Hi Igor, Hope all is well with you. I wanted to let you know about a summer school the "Mathematics
Convenience clouds your mind: Determining building interior structures u...
This is a very nice example. Every once in while, people ask me whether compressive sensing is worth it. The answer is invariably: It depend