Nuit Blanche in Review ( August 2015 )

Since the last Nuit Blanche in Review ( July 2015 ) we saw the birth of GitXiv and a few implementations.

• GitXiv: Because People Still Don't Care About You and Your Algorithm
• Machine Learning and Homomorphic Encryption
• Mash: Fast genome distance estimation using the MinHash algorithm
• Light Field Reconstruction Using Sparsity in the Continuous Fourier Domain
• ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
• Manitest: Are classifiers really invariant?
• Low-Rank Spectral Optimization
• Fast Robust PCA on Graphs
• Consistent Signal and Matrix Estimates in Quantized Compressed Sensing
• Robust Principal Component Analysis on Graphs

 We also had some in-depth studies, with in particular some on-going clues of The Great Convergence in action as well as some compressive sensing hardware:

• Unsupervised Feature Selection on Data Streams / Streaming Anomaly Detection Using Randomized Matrix Sketching

• Toward a unified theory of sparse dimensionality reduction in Euclidean space
• Comparative Analysis of Scattering and Random Features in Hyperspectral Image Classification
• Distributed Compressive Sensing: A Deep Learning Approach
• Random Noise in the GoogleLeNet Architecture
• Cuckoo Linear Algebra
• Expander $\ell_0$-Decoding
• Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
• SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing based on Sparse-Graph Codes
• The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
• A Randomized Rounding Algorithm for Sparse PCA
• A Deep Learning Approach to Structured Signal Recovery
• Single-sensor multispeaker listening with acoustic metamaterials / Spectral-temporal compressive imaging
• The inverse fast multipole method: using a fast approximate direct solver as a preconditioner for dense linear systems

Jobs:

• CSjob: Internship Opening: Nonlinear Dynamics and Control, MERL
• CSJob: Faculty, Chancellor's Faculty Excellence Program, NC State.

Theses:

• Thesis: Message Passing and Combinatorial Optimization, Siamak Ravanbakhsh
• Thesis: Shallow and Deep Learning for Audio and Natural Language Processing, Po-Sen Huang

Videos/Slides/proceedings

• Videos: Summer School on Hashing: Theory and Applications, 2014
• Saturday Morning Video: Machine Learning with Scikit Learn, Andreas Mueller & Kyle Kastner, SciPy 2015 Tutorial
• Slides; Deep Learning Summer School 2015
• Slides: KDD2015 Tutorials
• Proceedings SIGGRAPH 2015 and interesting papers
• Slides: Beating the Perils of Non-Convexity: Training Neural Networks using Tensor Methods
• Videos and Slides: Statistical Machine Learning course at CMU, Ryan Tibshirani and Larry Wasserman, Spring 2015
• Video: Deep Learning by Geoff Hinton, University of Cambridge, June 29th, 2015
• Saturday Morning Video: Dark Knowledge, Geoff Hinton
• Saturday Morning Video: A Mouse Brain
• Saturday Morning Video: Reinforcement Learning, David Silver
• Saturday Video Morning: Machine Learning Summer School Sydney 2015 (Slides and videos)

Credit: NASA/Johns Hopkins University Applied Physics Laboratory/Southwest Research Institute

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