Around the blogs in 78 Summer hours: Dina Katabi Mac Arthur Fellow, Big Data at the Simons Institute and more ....

Mac Arthur fellows are out and one of the winner is Dina Katabi whom we have mentioned here on her work on sFFT see recently some use of it in this entry (Slides of the Workshop on Sparse Fourier Transform Etc.) and using wifi signal to see through walls (she was mentioned on Nuit Blanche as early as 2008). Congratulations Dina !

In a different direction, since the last Around the blogs in 78 Summer hours: Big Data boot camp" at the Simons Institute and more...we have had several bloggers continuing their description of their experience at the Simons Insititute at Berkeley, among them we had:

Sebastien

• First Big Data workshop at the Simons Institute
• First week of activity at the Simons Institute

Suresh

• SIGACT CG Column: Moving heaven and earth
• Life at Simons
• More camping with high dimensional boots...
• Statistics, geometry and computer science.

Andrew: Is it a blog? Or is it epsilon-far from being a blog?
who mentioned
Gil:

• Simons@UCBerkeley
• Poznań: Random Structures and Algorithms 2013

and Moritz\

• The Zen of Gradient Descent
• What should a theory of Big Data say?


we also had other very interesting blog entries:

Andrew

• Scalable Stan
• My talk Tues 24 Sept at 12h30 at Université de Technologie de Compiègne
• More on Bayesian methods and multilevel modeling
• Understanding posterior p-values
• Online conference for young statistics researchers
• Christian Robert on the Jeffreys-Lindley paradox; more generally, it’s good news when philosophical arguments can be transformed into technical modeling issues

Hein

• Knowledge Representation, Ologs, and Category theory
• An ODE, Orthogonal Functions, and the Chebyshev Polynomials
• Comet ISON, Perihelion, Mars, and the rule of 13.3
• Yann Esposito’s Category theory Slides with Haskell
• Category Theory ?

Greg

• Dr. SkySkull talking invisibility in the News & Observer!
• 1842: Jean-Daniel Colladon guides light with water

Dustin

• PROBABLY APPROXIMATELY CORRECT
• PHASE RETRIEVAL FROM VERY FEW MEASUREMENTS

Danny

• GraphLab Internship Program (Machine Learning Summer Internship)
• Predicting personal information from Facebook likes data

Bob

• Paper of the Day (Po'D): Towards a universal representation for audio information retrieval and analysis Edition
• Formalizing Evaluation in Music Information Retrieval: A Look at the MIREX Automatic Mood Classification Task
• Paper of the Day (Po'D): Multi-label sparse coding for automatic image annotation Edition
• Deconstructing statistical questions and vacuous papers

Dirk: Post-it for convex optimization for optimal transport, value functions, accelerated forward backward and Bayesion inversion

Larry

• Two Announcements
• Consistency, Sparsistency and Presistency
• Is Bayesian Inference a Religion?

Sage

• IPython Notebooks in the Cloud with Realtime Synchronization and Support for Collaborators

Chapter Zero

• I miss Mathematica

Vladimir

• imec Presents its Image Sensor Technology
• Pelican Imaging Publishes Full Resolution Original Images
• Mike Tompsett's Presentation

Victoria

• Changes in the Research Process Must Come From the Scientific Community, not Federal Regulation

John

• No NY ML Symposium in 2013, and some good news
• Extreme Classification workshop at NIPS

Thomas

• A look at the process of submitting articles to OA journals | Open Science
• DAT versioned data

Gael: Publishing scientific software matters

Muthu

• NY is NYCE: Call for Participation
• Beyond Streaming: Frugal streaming

Greg

• UWB Impulse Radar Demo at X-Band
• Coffee Can Radar Antenna Tested in Multi-Millon $ Spherical Nearfield Range
• Impulse SAR at X-band, new web content!
• Fun new web content, DC coupled CW X-band Doppler Radar
• New page dedicated to Police Doppler Radar

Maxim

• A graph-theoretic derivation of the Gilbert-Varshamov bound
• ISIT 2013: two plenaries on concentration of measure
• Lossless source coding at Western Union

Josh: Falcon UAV Air Support in Colorado

and on Nuit Blanche:

• When Buffon’s needle problem meets the Johnson-Lindenstrauss Lemma
• GraphLab Internships
• Bayesian Robust Matrix Factorization for Image and Video Processing - implementation -
• Sunday Morning Insight: A conversation on Nanopore Sequencing and Signal Processing
• Sparse Localized Deformation Components - implementation -
• Video: Paris Machine Learning Meetup #3
• Sparse and Functional Principal Components Analysis - implementation -
• HTOpt: Optimization on the Hierarchical Tucker manifold - applications to tensor completion -implementation -
• Seeking hosts for the next SPARS'15 meeting.
• Ce soir: Paris Machine Learning Meetup #3: Lire dans les pensées grâce à Scikit-learn
• Slides: ENS/INRIA Visual Recognition and Machine Learning Summer School
• Videos and Slides: IPAM Graduate Summer School: Computer Vision
• Videos: Compressive Sensing Introduction by Mark Davenport
• Videos and Slides: IMA's course Applied Statistics and Machine Learning
• CfP: SPIE Compressive Sensing III Conference
• Why does L_1-norm induces sparsity ?
• CfP: International Journal on Computer Vision Special Issue on Sparse Coding
• Another Year in Reproducible Research in Compressive Sensing, Advanced Matrix Factorization and more
• Paris Meetup Groups: Machine Learning and GraphLab
• CSjob: Senior Lecturer, Victoria University, New Zealand.
• Saturday Morning Videos: Big Data Boot Camp, Alyosha Molnar on Angle-Sensitive Pixel-Based 3D Camera, Nanopore processes, Aggie Robot
• The Long Post of the Week,

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