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20192025
most citedOptimal Transport Relaxations with Application to Wasserstein GANs

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2025

Linear Algebraic Truncation Algorithm with A Posteriori Error Bounds for Computing Markov Chain Equilibrium Gradients

Saied Mahdian, Peter W. Glynn

The numerical computation of equilibrium reward gradients for Markov chains appears in many applications for example within the policy improvement step arising in connection with a…

math.PR2024

A Numerical Truncation Approximation with A Posteriori Error Bounds for the Solution of Poisson's Equation

Saied Mahdian, Peter W. Glynn, Yuanyuan Liu

The solution to Poisson's equation arise in many Markov chain and Markov jump process settings, including that of the central limit theorem, value functions for average reward Mark…

cs.LG2022

Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data

Yuan Shi, Saied Mahdian, Jose Blanchet +3

Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths of stay (LOS), we develop a modeling framework to reduce recovery unit congestio…

stat.ML2019★ 2 cited

Optimal Transport Relaxations with Application to Wasserstein GANs

Saied Mahdian, Jose Blanchet, Peter Glynn

We propose a family of relaxations of the optimal transport problem which regularize the problem by introducing an additional minimization step over a small region around one of th…

cs.LG2019★ 2 cited

Waterfall Bandits: Learning to Sell Ads Online

Branislav Kveton, Saied Mahdian, S. Muthukrishnan +2

A popular approach to selling online advertising is by a waterfall, where a publisher makes sequential price offers to ad networks for an inventory, and chooses the winner in that…