Nuit Blanche in Review (April 2016)

Since the last Nuit Blanche in Review (March 2016) several things happened. First, David MacKay left us. We also had a two implementations featured, a sunday morning insight, several hardware implementations, a suite of preprints showing the continuing great convergence, some in-depth preprints, two Paris Machine Learning meetups, some job positions and more. I note that hardware is becoming important in ML and that the list of preprints falling in The Great Convergence is growing. Enjoy !

Implementations

• A Tutorial on Libra: R package for the Linearized Bregman Algorithm in High Dimensional Statistics - implementation -
• Deep Networks with Stochastic Depth - implementation -

Sunday Morning Insight:

• Sunday Morning Insight: The Uneasy Deep AI

CS Hardware

• Compact all-CMOS spatiotemporal compressive sensing video camera with pixel-wise coded exposure
• Single-Shot Compressive Multiple-Inputs Multiple-Outputs Radar Imaging Using a Two-Port Passive Device
• Time-Resolved Image Demixing

The Great Convergence

• "The Great Convergence" or How ML/DL is Disrupting Sensor Design
• Exploiting Correlations Among Channels in distributed Compressive Sensing With Convolutional Deep Stacking Networks
• Learning A Deep ℓ∞ Encoder for Hashing 
• DeepNano: Deep Recurrent Neural Networks for Base Calling in MinION Nanopore Reads 
• Sketching and Neural Networks
• Deep Online Convex Optimization with Gated Games 

In-depth

• Heavy hitters via cluster-preserving clustering
• Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex / Memory and Information Processing in Recurrent Neural Networks
• Agnostic Estimation of Mean and Covariance
• An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds
• Fast and Space-optimal Low-rank Factorization in the Streaming Model With Application in Differential Privacy
• Low-rank Solutions of Linear Matrix Equations via Procrustes Flow
• Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions
• Tensor Methods and Recommender Systems / projected fixed-point iteration on a low-rank matrix manifold / "Compress and eliminate" solver for symmetric positive definite sparse matrices  

Job:

• CSjob: 2year postdoc, Compressive imaging in Astronomy and Medicine, Heriot-Watt University, Edinburgh, Scotland
• Job: 2-year Postdoc, Institute of Theoretical Physics (IPhT), CEA Saclay, France

Around the blogs

• Around the blogs in 78 hours (Part Deux)
• Around the blogs in 78 hours

Paris Machine Learning meetups

• Paris Machine Learning Meetup #12 Season 3: ML Hardware
• Paris Machine Learning #11 S3: Rogue Waves, Dataiku, eLum, Human Resources, DNN on Matlab, Data and Cars, The Great Convergence

Meetings

• The 2016 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016) is now open 

Video:

• Video: Sparse Identification of Nonlinear Dynamics (SINDy)
• Saturday Morning Video: "Can the brain do back-propagation?" - Geoffrey Hinton of Google & University of Toronto
• Wooden blocks and rails - David MacKay ( Information, Inference, and Energy A symposium to celebrate the work of Professor Sir David MacKay FRS)

Other

• Saturday Morning Videos: Mars, Falcon landing and "A Beautiful Planet"

 
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