Nuit Blanche in Review ( July 2015 )

Since the last Nuit Blanche in Review ( June 2015 ), we saw Pluto up close while at the same time, COLT and ICML occured in France. As a result, we had quite a few implementations made available by their respective authors. Enjoy !

Implementations:

• Forward - Backward Greedy Algorithms for Atomic Norm Regularization - implementation -
• Random Mappings Designed for Commercial Search Engines - implementation -
• Training Very Deep Networks - implementation -
• #ICML2015 code: MADE: Masked Autoencoder for Distribution Estimation - implementation -
• #ICML2015 codes: Generative Moment Matching Networks - implementation -
• #ICML2015 codes: Vector-Space Markov Random Fields via Exponential Families - implementation
• #ICML2015 codes: DeepVis, Deep Visualization Toolbox: Understanding Neural Networks Through Deep Visualization
• #ICML2015 codes: Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks - implementation -
• Manopt 2.0: A Matlab tool­box for opti­mization on manifolds - implementation -
• Compressing Neural Networks with the Hashing Trick - implementation -

 

Sunday Morning Insight:

• Sunday Morning Insight: The Challenges of Reddit's Sparse Admins/Mods Graphs and Sudden Phase Transitions

In-depth:

• A Perspective on Future Research Directions in Information Theory
• Dimensionality Reduction for k-Means Clustering and Low Rank Approximation
• Compressive Sensing for #IoT: Photoplethysmography-Based Heart Rate Monitoring in Physical Activities via Joint Sparse Spectrum Reconstruction, TROIKA
• A Nearly-Linear Time Framework for Graph-Structured Sparsity  
• Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements
• Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization
• The Loss Surfaces of Multilayer Networks, Global Optimality in Tensor Factorization, Deep Learning, and Beyond , Generalization Bounds for Neural Networks through Tensor Factorization   
• Optimal approximate matrix product in terms of stable rank
• Randomized sketches for kernels: Fast and optimal non-parametric regression
• Random forests and kernel methods
• Intersecting Faces: Non-negative Matrix Factorization With New Guarantees

 

Job:

• CSJob: Postdoc and/or a Graduate Studentship, Iowa State University

Conferences:

• Proceedings of The 28th Conference on Learning Theory - COLT 2015

Slides / Slides and Videos / Videos

• Saturday Morning Video: Reverse Engineering the Human Visual System Slides and Video: What's Wrong with Deep Learning?
• Video: Compressive Hyperspectral Imaging via Approximate Message Passing
• Video: Size- and level-adaptive Markov chain Monte Carlo
• Slides : #ICML2015 Tutorials: Structured Prediction, Bayesian Time Series Modeling, Natural Language Understanding, Policy Search, Modern Convex Optimization
• Slides #ICML2015 : Léon Bottou – Two high stakes challenges in machine learning
• Saturday Morning Videos: Information Theory in Complexity Theory and Combinatorics (Simons Institute @ Berkeley) 

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