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 1bit measurements Bregman iteration classification clustering compressed sensing computer vision conical hull problem convex optimization dimension reduction DivideandConquer elastic net fast algorithm fast SVD feature selection fixed point continuation game greedy search group sparsity Hamming Compressed Sensing iterative thresholding Kmeans latent variable model lowrank manifold learning matrix completion matrix factorization multilabel learning Ncut Nesterov's method NIPS 2011 Nonnegative Matrix Factorization optimization Quantization recovery randomized optimization robust principal component analysis SDP Separable assumption sparse learning Spectral clustering structured learning SVM
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What’s new
 List of Submodular Optimization on Streaming Data (In Update)
 DivideandConquer Learning by Anchoring a Conical Hull
 Multitask Copula – A semiparametric joint prediction model for multiple outputs with sparse graph structure
 NeSVM (Nesterov’s method for SVM) code for our ICDM 2010 paper
 AISTATS 2013 GreBsmo code is released
Articles
Tag Archives: Hamming Compressed Sensing
Multitask Copula – A semiparametric joint prediction model for multiple outputs with sparse graph structure
Our paper “Multitask Copula by Sparse Graph Regression“ has been accepted by KDD 2014 this year. So we can talk at the conference which is at NYC, between August 2427. Before that, let me introduce this new method. In summary, we tackle … Continue reading
Posted in Tianyi's work
Tagged fast algorithm, Hamming Compressed Sensing, structured learning
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Compressed Labeling: An important extension of Hamming Compressed Sensing; at NIPS now
We are just informed that our submission “Compressed Labeling (CL) on Distilled Labelsets (DL) for Multilabel Learning” is accepted by Machine Learning Journal (Springer). Online first PDF can be downloaded here. CL is an important application and extension of Hamming … Continue reading