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11/17/2019
Constrained High Dimensional Statistical Inference
In typical high dimensional statistical inference problems, confidence i...
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10/26/2019
Convergent Policy Optimization for Safe Reinforcement Learning
We study the safe reinforcement learning problem with nonlinear function...
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05/15/2019
Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching
Probabilistic graphical models provide a flexible yet parsimonious frame...
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10/25/2018
Provable Gaussian Embedding with One Observation
The success of machine learning methods heavily relies on having an appr...
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06/14/2018
Learning Influence-Receptivity Network Structure with Guarantee
Traditional works on community detection from observations of informatio...
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04/29/2018
Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models
We consider multi-response and multitask regression models, where the pa...
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02/20/2018
Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach
We study the problem of recovery of matrices that are simultaneously low...
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10/04/2017
Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties
Inferring predictive maps between multiple input and multiple output var...
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09/06/2017
