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05/16/2021
LocalNewton: Reducing Communication Bottleneck for Distributed Learning
To address the communication bottleneck problem in distributed optimizat...
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02/04/2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression
In experimental design, we are given a large collection of vectors, each...
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11/08/2018
Fast determinantal point processes via distortion-free intermediate sampling
Given a fixed n× d matrix X, where n≫ d, we study the complexity of samp...
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10/04/2018
Correcting the bias in least squares regression with volume-rescaled sampling
Consider linear regression where the examples are generated by an unknow...
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06/06/2018
Reverse iterative volume sampling for linear regression
We study the following basic machine learning task: Given a fixed set of...
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02/19/2018