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Article
Deep Spatial Q-Learning for Infectious Disease Control
Infectious diseases are a cause of humanitarian and economic crises across the world. In develo** regions, a severe epidemic can result in the collapse of healthcare infrastructure or even the failure of an ...
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Article
Robust matrix estimations meet Frank–Wolfe algorithm
We consider estimating matrix-valued model parameters with a dedicated focus on their robustness. Our setting concerns large-scale structured data so that a regularization on the matrix’s rank becomes indispen...
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Article
Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach
We consider the problem of estimating high dimensional spatial graphical models with a total cardinality constraint (i.e., the $$\ell ...
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Article
Misspecified nonconvex statistical optimization for sparse phase retrieval
Existing nonconvex statistical optimization theory and methods crucially rely on the correct specification of the underlying “true” statistical models. To address this issue, we take a first step towards tamin...
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Article
Open AccessAdipocyte OGT governs diet-induced hyperphagia and obesity
Palatable foods (fat and sweet) induce hyperphagia, and facilitate the development of obesity. Whether and how overnutrition increases appetite through the adipose-to-brain axis is unclear. O-linked beta-D-N-acet...
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Article
Max-norm optimization for robust matrix recovery
This paper studies the matrix completion problem under arbitrary sampling schemes. We propose a new estimator incorporating both max-norm and nuclear-norm regularization, based on which we can conduct efficien...
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Article
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
Classical stochastic gradient methods are well suited for minimizing expected-value objective functions. However, they do not apply to the minimization of a nonlinear function involving expected values or a co...
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Article
Generalized alternating direction method of multipliers: new theoretical insights and applications
Recently, the alternating direction method of multipliers (ADMM) has received intensive attention from a broad spectrum of areas. The generalized ADMM (GADMM) proposed by Eckstein and Bertsekas is an efficient...
