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Tuesday, November 25, 2014
Spectral Clustering of Graphs with the Bethe Hessian - implementation -
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To be filed in the Matrix Factorization Jungle page in the clustering section and its attendant phase transitions. ...
Monday, November 24, 2014
Nuclear Norm Minimization via Active Subspace Selection
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Nuclear Norm Minimization via Active Subspace Selection by Cho-Jui Hsieh , Peder A. Olsen We describe a novel approach to optimi...
Randomized Interpolative Decomposition of Separated Representations
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Random projections with tensors. Randomized Interpolative Decomposition of Separated Representations by David J. Biagioni , Danie...
Saturday, November 22, 2014
Sunday Morning Insight: It's Complicated...On Games, NP-hardness, Grothendieck, Learning and Friends.
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At the last Machine Learning meetup in Paris , someone (I believe it was Vincent Guigue ) made the comment that "not" was a rela...
Saturday Morning Videos: Machine Learning Summer School, Iceland 2014
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Here are all 41 hours of courses given in Iceland this Summer at the Machine Learning Summer School . Enjoy the rest fo your week-end. I kn...
Friday, November 21, 2014
CKN: Convolutional Kernel Networks - implementation -
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You probably recall this entry on Deep Learning and Convolutional Kernel Networks , well there is an attendant implementation availab...
Provable Bounds for Learning Some Deep Representations
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Following up on this entry , here are some headways connecting the deep architectures of some neural networks with random matrix theory an...
Thursday, November 20, 2014
Nonlinear Information-Theoretic Compressive Measurement Design
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Compressive sensing, nonlinearity, classification, terrific ! Nonlinear Information-Theoretic Compressive Measurement Design by Li...
Riemannian Pursuit for Big Matrix Recovery
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Greedy algorithm for nuclear norm minimization on the manifold (hopefully we'll get to see an implementation of it at some point in t...
Wednesday, November 19, 2014
Sparse Reinforcement Learning via Convex Optimization
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How do you learn policies when you have too many features ? Sparse Reinforcement Learning via Convex Optimization Zhiwei Qin , Weich...
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