Alireza Samadian

According to our database, Alireza Samadian authored at least 10 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Optimizing Polymatroid Functions.

Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs, Alireza Samadian

CoRR, 2022

2021

Relational Boosted Regression Trees.

Sonia Cromp, Alireza Samadian, Kirk Pruhs

CoRR, 2021

An Approximation Algorithm for the Matrix Tree Multiplication Problem.

Mahmoud Abo Khamis, Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs, Alireza Samadian

Proceedings of the 46th International Symposium on Mathematical Foundations of Computer Science, 2021

Instance Optimal Join Size Estimation.

Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian

Proceedings of the XI Latin and American Algorithms, Graphs and Optimization Symposium, 2021

In-Database Regression in Input Sparsity Time.

Rajesh Jayaram, Alireza Samadian, David P. Woodruff, Peng Ye

Proceedings of the 38th International Conference on Machine Learning, 2021

Relational Algorithms for k-Means Clustering.

Benjamin Moseley, Kirk Pruhs, Alireza Samadian, Yuyan Wang

Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

A Relational Gradient Descent Algorithm For Support Vector Machine Training.

Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian

Proceedings of the 2nd Symposium on Algorithmic Principles of Computer Systems, 2021

Approximate Aggregate Queries Under Additive Inequalities.

Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian

Proceedings of the 2nd Symposium on Algorithmic Principles of Computer Systems, 2021

2020

Unconditional Coresets for Regularized Loss Minimization.

Alireza Samadian, Kirk Pruhs, Benjamin Moseley, Sungjin Im, Ryan R. Curtin

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

On Coresets for Regularized Loss Minimization.

Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian

CoRR, 2019