Nuit Blanche in Review ( February 2015 )

This month was quite eventful in terms of postings and work related matters.

We hosted the Paris Machine Learning #6 Season 2: Vowpal Wabbit, RL, Inmoov, libFM and more at Ecole 42, I committed to make a presentation at the end of March (Abstract for "collège doctoral" seminar at IFPEN, March 2015 ). Thank you Laurent for the invitation !

We just finished a proposal for the french i-LAB competition last night. We (TBNL) seek funding for a start-up. More information later.

I was also made "collaborateur extérieur" to Institut Langevin. Thank you Laurent for the invitation into the lab. The last Nuit Blanche in review for January 2015 is here. In the meantime, we had a few implementations made available by the authors of publications:

• Signal Recovery from Pooling Representations - implementation -
• CRISP - Towards Compressive Information Processing Systems - implementation -
• Scalable audio separation with light Kernel Additive Modelling - implementation -
• RSVDPACK: Subroutines for computing partial singular value decompositions via randomized sampling on single core, multi core, and GPU architectures - implementation -
• Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques - implementation -

Let us note the great convergence coming onto us. We also had one Sunday Morning Insight and two follow-ups of previous instances:

• Sunday Morning Insight: Of Fluid Autoencoders and Data Tsunamis
• Crossing the P-river: A complete bacterial genome assembled de novo using only nanopore sequencing data
• Crossing the P-river (follow-up)

Thesis:

• Thesis: Recovery of Continuous Quantities from Discrete and Binary Data with Applications to Neural Data

Tutorial

• Tutorial: Submodularity in Machine Learning Applications

In depth

• The generalized Lasso with non-linear observations
• S-AMP for Non-linear Observation Models
• Tensor Factorization via Matrix Factorization  
• On the Equivalence between Quadrature Rules and Random Features
• Approximate Message Passing with Restricted Boltzmann Machine Priors
• Gaussian Phase Transitions and Conic Intrinsic Volumes: Steining the Steiner Formula
• Self-Calibration and Biconvex Compressive Sensing
• Kronecker PCA Based Robust SAR STAP
• Sketching and Embedding are Equivalent for Norms
• Unsupervised Learning of Acoustic Features Via Deep Canonical Correlation Analysis 
• Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments
• Weighted SGD for ℓp Regression with Randomized Preconditioning
• Kernel Probabilistic Programming (KPP): Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations
• Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
• Compressive spectrum sensing of radar pulses based on photonic techniques
• X-Ray Vision with Only WiFi Power Measurements Using Rytov Wave Models
• Reconstruction-free action inference from compressive imagers

Blog related 

• On an optimal use of tags: CS, MF, ML, implementation, AMP and BlindDeconvolution and more....

Saturday Morning Videos

• Saturday Morning Videos: Nando de Freitas' Machine Learning course, ICLR2014

Meetings (abstracts/Videos)

• Abstracts: Information Theory and Applications (ITA 2014)

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