Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes. - Nima Anari; Shayan Oveis Gharan; Alireza Rezaei 001 (COLT, 2016)

Monte Carlo Markov Chains Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes. - Nima Anari; Shayan Oveis Gharan; Alireza Rezaei 001 (CoRR, 2016)

Approximation Algorithms for Finding Maximum Induced Expanders. - Shayan Oveis Gharan; Alireza Rezaei 001 (SODA, 2017)

A Polynomial Time MCMC Method for Sampling from Continuous DPPs. - Shayan Oveis Gharan; Alireza Rezaei 001 (CoRR, 2018)

A Tight Analysis of Bethe Approximation for Permanent. - Nima Anari; Alireza Rezaei 001 (FOCS, 2019)

Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm. - Sepideh Mahabadi; Piotr Indyk; Shayan Oveis Gharan; Alireza Rezaei 001 (ICML, 2019)

A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes. - Alireza Rezaei 001; Shayan Oveis Gharan (ICML, 2019)

Composable Core-sets for Determinant Maximization Problems via Spectral Spanners. - Piotr Indyk; Sepideh Mahabadi; Shayan Oveis Gharan; Alireza Rezaei 001 (SODA, 2020)

Scalable Inference Algorithms for Determinantal Point Processes. - Alireza Rezaei 001 (2020)