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03/31/2023
Almost Linear Constant-Factor Sketching for ℓ_1 and Logistic Regression
We improve upon previous oblivious sketching and turnstile streaming res...
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06/26/2022
Bounding the Width of Neural Networks via Coupled Initialization – A Worst Case Analysis
A common method in training neural networks is to initialize all the wei...
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03/25/2022
p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
We study the p-generalized probit regression model, which is a generaliz...
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07/14/2021
Oblivious sketching for logistic regression
What guarantees are possible for solving logistic regression in one pass...
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11/27/2019
Single Machine Batch Scheduling to Minimize the Weighted Number of Tardy Jobs
The 1|B,r_j|∑ w_jU_j scheduling problem takes as input a batch setup tim...
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11/26/2019
