Here are the blog entries we had since the last review ( October 2015 )

**and some Hard Questions**Implementations

- Scampi: a robust approximate message-passing framework for compressive imaging
- False Discoveries Occur Early on the Lasso Path
- The Big List of Deep Learning Toolkits
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Conferences:

In-depth

ML

Random Features

- Random Features Roundup
- Circulants in Neural Networks, Randomized Skeleton, Quantization based Fast Inner Product Search, Fast Binary Embedding, Quantization based Fast Inner Product Search

- Random sampling of bandlimited signals on graphs
- Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach
- Sparse Multinomial Logistic Regression via Approximate Message Passing

- Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach
- Sequential Information Guided Sensing / Info-Greedy sequential adaptive compressed sensing
- Guarantees of Riemannian Optimization for Low Rank Matrix Recovery
- Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing

Hardware

- Blind and reference-free fluorescence lifetime estimation via consumer time-of-flight sensors
- Multispectral imaging using a single bucket detector
- Toward Long Distance, Sub-diffraction Imaging Using Coherent Camera Arrays

Paris Machine Learning meetup

- Saturday Morning Video: Statistical Learning with Big Data by Trevor Hastie
- Saturday Morning Videos: Videos and slides for Speech and Audio in the Northeast (SANE) 2015
- Saturday Morning Video: Use of hyperspectral cameras based on CMOS area scan sensors
- Slides and Videos: Randomized Numerical Linear Algebra reading group, Berkeley, Spring 2015

Thesis:

Job:- Job: Postdoc positions ERC Advanced Grant A-DATADRIVE-B, KU Leuven Belgium CSJobs: Postdocs / PhDs / internships opportunities, Saclay, France

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