Since the last Nuit Blanche in Review ( August 2014 ), we've seen quite a few implementation out but also we also attained a new milestone ( The Long Distance Blogger ). We also had a some meetings and meetups, and in the course of these proceedings, we sometimes lose sight of what is happening. I tried to clinch that magic back in Unfiltered Access. Anyway, without further ado, here is a summary of this past month activity on Nuit Blanche:
Implementations:
- Alternating proximal gradient method for sparse nonnegative Tucker decomposition
- Stochastic Coordinate Coding (SCC)
- WGSQuikr: Fast Whole-Genome Shotgun Metagenomic Classification
- Randomized Nonlinear Component Analysis
- Sparse recovery by means of nonnegative least squares-
- The Randomized Causation Coefficient
In-depth looks:
- Sparse Representation Issues in Hyperspectral and Multispectral Images
- Map Estimation for Bayesian Mixture Models with Submodular Priors ( and slides Fourth Cargese Workshop on Combinatorial Optimization )
- Image Classification with A Deep Network Model based on Compressive Sensing
- Compressive Earth Observatory: An Insight from AIRS/AMSU Retrievals (and a comment)
- Some thoughts on invertibility: Signal recovery from Pooling Representations, Determination of Nonlinear Genetic Architecture using Compressed Sensing
- Sparse Generalized Eigenvalue Problem via Smooth Optimization
- Kernel Methods Match Deep Neural Networks on TIMIT
The Long Post of the Summer - Randomized Kernels, Randomized Solvers, Random features and more
Enhancing Sparsity and Resolution via Reweighted Atomic Norm Minimization - Multiresolution Matrix Factorization
Hardware Based Stochastic Gradient Descent
Accelerating Random Forests in Scikit-Learn - Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized x-ray CT
disPCA: Improved Distributed Principal Component Analysis - A Detailed Overview of Nanopore Sequencing
- Book: An Introduction to Compressive Sensing
Book / Proceedings / Lecture Notes: Statistical physics, Optimization, Inference and Message-Passing algorithms - Thesis: Compressed sensingand dimensionality reduction for unsupervised learning - Anthony Bourrier
Thesis: Inference and Estimation in High-dimensional Data Analysis, Adel Javanmard - Thesis: Randomized Algorithms For Large-Scale Strongly Overdetermined Linear Regression Problems - Xiangrui Meng
Videos:
- Saturday Morning Videos: Random Functions for Dependence and Component Analysis, Randomized Nonlinear Component Analysis and the Automatic Statistician Videos: International Conference on Machine Learning (ICML) 2014 videos are out
- CSjob: Associate professor in signal processing with special emphasis on compressive sensing, Aalborg, Denmark
- Job : Signal processing and signal fusion methods for irregularly sampled signals obtained with crowd-sensing. Application to air quality monitoring.
- CSJob: Postdoc, ENS Paris, Statistical Physics Approach to Reconstruction in Compressed Sensing
Sunday Morning Insight:
Videos:
- Saturday Morning Videos: Some ICML 2014 presentations.
- Surfing on Moore's Law
- Lunar Detection Of Ultra-High-Energy Cosmic Rays And Neutrinos
Machine Learning Meetups and CS meetings:
- Ce Soir: Machine Learning Meetup Hors-Série #1 (season 2): Datajournalisme
- Ce Soir: Paris Machine Learning Meetup #1, Season 2, A New Beginning (Snips, Nomo, Clustaar and more)
- CSMeeting : Acquisition/Echantillonnage comprimé : quelles réalisations/applications pratiques ?
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