Alireza Rezaei

According to our database, Alireza Rezaei authored at least 9 papers between 2016 and 2020.

Collaborative distances:

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

2020

Scalable Inference Algorithms for Determinantal Point Processes.

Alireza Rezaei

PhD thesis, 2020

Composable Core-sets for Determinant Maximization Problems via Spectral Spanners.

Piotr Indyk, Sepideh Mahabadi, Shayan Oveis Gharan, Alireza Rezaei

Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

2019

A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes.

Alireza Rezaei, Shayan Oveis Gharan

Proceedings of the 36th International Conference on Machine Learning, 2019

Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm.

Sepideh Mahabadi, Piotr Indyk, Shayan Oveis Gharan, Alireza Rezaei

Proceedings of the 36th International Conference on Machine Learning, 2019

A Tight Analysis of Bethe Approximation for Permanent.

Nima Anari, Alireza Rezaei

Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

2018

A Polynomial Time MCMC Method for Sampling from Continuous DPPs.

Shayan Oveis Gharan, Alireza Rezaei

CoRR, 2018

2017

Approximation Algorithms for Finding Maximum Induced Expanders.

Shayan Oveis Gharan, Alireza Rezaei

Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017

2016

Monte Carlo Markov Chains Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes.

Nima Anari, Shayan Oveis Gharan, Alireza Rezaei

CoRR, 2016

Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes.

Nima Anari, Shayan Oveis Gharan, Alireza Rezaei

Proceedings of the 29th Conference on Learning Theory, 2016