Since the last Nuit Blanche in Review ( December 2014 ), we provided a
Short Review of 2014 on Nuit Blanche and another quick review of the Paris Machine Learning Meetup in 2014 as well as three Sunday Morning insights:

- Sunday Morning Insight: The Hardest Challenges We Should be Unwilling to Postpone
- Sunday Morning Insight: What Happens When You Cross into P Territory ?
- Sunday Morning Insight: The Great Convergence ?

We also had two Paris Machine Learning Meetups:

- Paris Machine Learning Meetup "Hors Série" 2 (Season 2) Data Science for Non-Profits
- Paris Machine Learning Meetup #5 Season 2, Time Series and FinTech, Adversarial Algos

We also had quite a few implementations made available by their authors:

- Convex Cardinal Shape Composition (CCSC) - implementation -
- REMBO : Bayesian Optimization in a Billion Dimensions via Random Embeddings - implementation -
- Recovery from Linear Measurements with Complexity-Matching Universal Signal Estimation - implementation -
- Phase recovery from a Bayesian point of view: the variational approach - implementation -
- Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization - implementation -
- LatLRR : Robust latent low rank representation for subspace clustering - implementation -
- MORESANE: MOdel REconstruction by Synthesis-ANalysis Estimators. A sparse deconvolution algorithm for radio interferometric imaging - implementation
- Frequency Selective Compressed Sensing - implementation -
- BlockPR: Fast Phase Retrieval for High-Dimensions - implementation -
- FASTA: A Field Guide to Forward-Backward Splitting with a FASTA Implementation - implementation
- Positive Low-Rank Tensor Completion - implementation -

Thesis:

Other focused entries going from Machine Learning typeof topics to Compressive Sensing ones and finishing by hardware related topics:

- Improving approximate RPCA with a k-sparsity prior
- Unbiased Bayes for Big Data: Paths of Partial Posteriors / Computing Functions of Random
- Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
- Fast, simple and accurate handwritten digit classification using extreme learning machines with shaped input-weights
- Why does Deep Learning work? - A perspective from Group Theory
- Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
- Unbiased Bayes for Big Data: Paths of Partial Posteriors / Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations
- Compressing Deep Convolutional Networks using Vector Quantization
- In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
- New Ranks for Even-Order Tensors and Their Applications in Low-Rank Tensor Optimization
- Efficient Blind Compressed Sensing and $\ell_0$ Sparsifying Transform Learning
- Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization
- A note on ADMM-GAMP
- A robust sub-linear time R-FFAST algorithm for computing a sparse DFT
- Sparse Solutions to Nonnegative Linear Systems and Applications
- Random Matrices for the People: An Introduction to Matrix Concentration Inequalities
- Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data
- Approximate Subspace-Sparse Recovery in the Presence of Corruptions via $\ell_1$-Minimization
- Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation / Learning to Deblur
- Pose estimation using time-resolved inversion of diffuse light
- Holistic random encoding for imaging through multimode fibers
- Random Calibration for Accelerating MR-ARFI Guided Ultrasonic Focusing in Transcranial Therapy

Meetings/CfPs/Abstracts/Videos of meetings

- Workshop on Big Data and Statistical Machine Learning, January 26 – 30, 2015
- CfP: "Applications of Matrix Computational Methods in the Analysis of Modern Data” Workshop Reykjavik, Iceland , June 1-3, 2015
- Proceedings: Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop 2015
- Saturday Morning Videos: Videos and Slides of the 2014 Workshop on Sensing and Analysis of High-Dimensional (SAHD) meeting
- CSMeeting: Compressed Sensing in Wireless Communication - Workshop 2015
- Gene Golub SIAM Summer School 2015 RandNLA: Randomization in Numerical Linear Algebra Delphi, Greece (June 15-26, 2015)
- 2nd CfP: SPARS 2015 Signal Processing with Adaptive Sparse Structured Representations

Videos:

Other:

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