On Coresets for Regularized Loss Minimization. - Ryan R. Curtin; Sungjin Im; Benjamin Moseley; Kirk Pruhs; Alireza Samadian (CoRR, 2019)

Unconditional Coresets for Regularized Loss Minimization. - Alireza Samadian; Kirk Pruhs; Benjamin Moseley; Sungjin Im; Ryan R. Curtin (AISTATS, 2020)

Approximate Aggregate Queries Under Additive Inequalities. - Mahmoud Abo Khamis; Sungjin Im; Benjamin Moseley; Kirk Pruhs; Alireza Samadian (APOCS, 2021)

A Relational Gradient Descent Algorithm For Support Vector Machine Training. - Mahmoud Abo Khamis; Sungjin Im; Benjamin Moseley; Kirk Pruhs; Alireza Samadian (APOCS, 2021)

Relational Algorithms for k-Means Clustering. - Benjamin Moseley; Kirk Pruhs; Alireza Samadian; Yuyan Wang (ICALP, 2021)

In-Database Regression in Input Sparsity Time. - Rajesh Jayaram; Alireza Samadian; David P. Woodruff; Peng Ye 005 (ICML, 2021)

Instance Optimal Join Size Estimation. - Mahmoud Abo Khamis; Sungjin Im; Benjamin Moseley; Kirk Pruhs; Alireza Samadian (LAGOS, 2021)

An Approximation Algorithm for the Matrix Tree Multiplication Problem. - Mahmoud Abo Khamis; Ryan R. Curtin; Sungjin Im; Benjamin Moseley; Hung Q. Ngo 001; Kirk Pruhs; Alireza Samadian (MFCS, 2021)

Relational Boosted Regression Trees. - Sonia Cromp; Alireza Samadian; Kirk Pruhs (CoRR, 2021)

Optimizing Polymatroid Functions. - Sungjin Im; Benjamin Moseley; Hung Q. Ngo 001; Kirk Pruhs; Alireza Samadian (CoRR, 2022)