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06/11/2020
Probabilistic Best Subset Selection via Gradient-Based Optimization
In high-dimensional statistics, variable selection is an optimization pr...
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research
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06/11/2020
Probabilistic Best Subset Selection by Gradient-Based Optimization
In high-dimensional statistics, variable selection is an optimization pr...
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01/14/2020
Graph-Fused Multivariate Regression via Total Variation Regularization
In this paper, we propose the Graph-Fused Multivariate Regression (GFMR)...
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08/24/2019
Consistent Classification with Generalized Metrics
We propose a framework for constructing and analyzing multiclass and mul...
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06/02/2018
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
Complex performance measures, beyond the popular measure of accuracy, ar...
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05/24/2017
Provable Estimation of the Number of Blocks in Block Models
Community detection is a fundamental unsupervised learning problem for u...
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10/23/2016
Online Classification with Complex Metrics
We present a framework and analysis of consistent binary classification ...
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07/10/2016
Convex Relaxation for Community Detection with Covariates
Community detection in networks is an important problem in many applied ...
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06/06/2016