Around The Blogs in 78 Summer Hours

There were quite a few blog entries of interest recently, here is a sample that got my attention:

Anna

• Applied mathematicians vs Theoretical Computer Scientists

Muthu

• Streaming Extravaganza

Alex

• Mirror descent is, in a precise sense, a second order algorithm

Dirk

• Convexity and continuity

Dustin

• An intuition for concentration inequalities

Tianyi

• List of Submodular Optimization on Streaming Data (In Update) 
•  Divide-and-Conquer Learning by Anchoring a Conical Hull

Afonso

• Norm of random matrices with independent entries

Djalil

• Wigner about level spacing and Wishart

 Laurent

• Geophysics: Taking signal and noise to new dimensions (call for papers)

Hal

• Hyperparameter search, Bayesian optimization and related topics
• Machine learning is the new algorithms

Suresh

• Algorithms is the new Algorithms...
• On the master theorem vs Akra-Bazzi

Andrew

• 10th anniversary of “Statistical Modeling, Causal Inference, and Social Science”

Pip

• The Busy Beaver Problem

Carson

• Linear and nonlinear thinking 
• Julia update

Stephen

• Adventures in the high dimensional space of genomes

Danny

• Datapad - Acquired!
• News from Recsys - GraphLab Create based solution wins second place

Patrick

• Classifying Shakespearean Drama with Sparse Feature Sets

John

• Conference on Digitial Experimentation
• Open Machine Learning Workshop, August 22

While on Nuit Blanche, we had:

• Ce soir: Paris Machine Learning #2 Season 2: : Learning Causality, Words, the Higgs & more.

• A Bird's eye view of Compressive Sensing, Advanced matrix Factorization, Randomized Numerical Linear Algebra, Big Data and more ...
• On the Effective Measure of Dimension in the Analysis Cosparse Model
• Proceedings: iTWIST'14, SAHD London 2014, MaxEnt '14
• RQS (Read Quality-score Sparsifier): Traversing the k-mer Landscape of NGS Read Datasets for Quality Score Sparsification - implementation -
• MONGOOSE: An exact arithmetic toolbox for a consistent and reproducible structural analysis of metabolic network models
• Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images - implementation -
• Slides and a Video: Sensor Signal Processing for Defence (SSPD) 2014
• Generalized Low Rank Models - implementations in Julia and Spark -
• Coreset and PCA: Distributed k-Means and k-Median Clustering on General Topologies - implementation -
• Another Way of Reading Nuit Blanche
• Ceci n'est toujours pas le site de la Nuit Blanche
• Slides: MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets
• The Once Thought Impossible Computations
• Nuit Blanche in Review ( September 2014 )

 Photo Credits: ESA/Rosetta/MPS for OSIRIS Team MPS/UPD/LAM/IAA/SSO/INTA/UPM/DASP/IDA   Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.