Alireza Samadian

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 15

Top Topics

Loss Minimization

Regression Trees

Support Vector Machine

Top Venues

Publications

Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs, Alireza Samadian
Optimizing Polymatroid Functions. CoRR (2022)
Rajesh Jayaram, Alireza Samadian, David P. Woodruff, Peng Ye
In-Database Regression in Input Sparsity Time. CoRR (2021)
Mahmoud Abo Khamis, Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs, Alireza Samadian
An Approximation Algorithm for the Matrix Tree Multiplication Problem. MFCS (2021)
Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
Approximate Aggregate Queries Under Additive Inequalities. APOCS (2021)
Benjamin Moseley, Kirk Pruhs, Alireza Samadian, Yuyan Wang
Relational Algorithms for k-Means Clustering. ICALP (2021)
Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
A Relational Gradient Descent Algorithm For Support Vector Machine Training. APOCS (2021)
Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
Instance Optimal Join Size Estimation. LAGOS (2021)
Sonia Cromp, Alireza Samadian, Kirk Pruhs
Relational Boosted Regression Trees. CoRR (2021)
Rajesh Jayaram, Alireza Samadian, David P. Woodruff, Peng Ye
In-Database Regression in Input Sparsity Time. ICML (2021)
Benjamin Moseley, Kirk Pruhs, Alireza Samadian, Yuyan Wang
Relational Algorithms for k-means Clustering. CoRR (2020)
Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
A Relational Gradient Descent Algorithm For Support Vector Machine Training. CoRR (2020)
Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
Approximate Aggregate Queries Under Additive Inequalities. CoRR (2020)
Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
Instance Optimal Join Size Estimation. CoRR (2020)
Alireza Samadian, Kirk Pruhs, Benjamin Moseley, Sungjin Im, Ryan R. Curtin
Unconditional Coresets for Regularized Loss Minimization. AISTATS (2020)
Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
On Coresets for Regularized Loss Minimization. CoRR (2019)