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20132026
most citedAdaBoost and Forward Stagewise Regression are First-Order Convex Optimization Methods

11 citations · 51 across the 24 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

math.OC2018★ 3 cited

Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods

Robert M. Freund, Paul Grigas, Rahul Mazumder

Logistic regression is one of the most popular methods in binary classification, wherein estimation of model parameters is carried out by solving the maximum likelihood (ML) optimi…

math.OC2018★ 2 cited

Optimal Bidding, Allocation and Budget Spending for a Demand Side Platform Under Many Auction Types

Alfonso Lobos, Paul Grigas, Zheng Wen +1

We develop a novel optimization model to maximize the profit of a Demand-Side Platform (DSP) while ensuring that the budget utilization preferences of the DSP's advertiser clients…