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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Convex Optimization
6 directly classified papers
Papers per year
2007: 1
2008: 1
2012: 1
2013: 1
2016: 1
2019: 1
Papers
Non-Convex Matrix Completion and Related Problems via Strong Duality
JMLR 2019
An equivalence between high dimensional Bayes optimal inference and M-estimation
NIPS 2016
Maximum Volume Clustering: A New Discriminative Clustering Approach
JMLR 2013
Recovery of Sparse Probability Measures via Convex Programming
NIPS 2012
Supervised Exponential Family Principal Component Analysis via Convex Optimization
NIPS 2008
Bundle Methods for Machine Learning
NIPS 2007
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