Ghadiri, Mehrdad

8 publications

ICML 2025 Fast Tensor Completion via Approximate Richardson Iteration Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook, Ali Jadbabaie

ICML 2023 Approximately Optimal Core Shapes for Tensor Decompositions Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni

NeurIPS 2023 Finite Population Regression Adjustment and Non-Asymptotic Guarantees for Treatment Effect Estimation Mehrdad Ghadiri, David Arbour, Tung Mai, Cameron Musco, Anup B. Rao

AISTATS 2022 Amortized Rejection Sampling in Universal Probabilistic Programming Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schroeder De Witt, Robert Zinkov, Philip Torr, Tom Rainforth, Yee Whye Teh, Frank Wood

NeurIPS 2022 Subquadratic Kronecker Regression with Applications to Tensor Decomposition Matthew Fahrbach, Gang Fu, Mehrdad Ghadiri

AISTATS 2019 Distributed Maximization of "Submodular Plus Diversity" Functions for Multi-Label Feature Selection on Huge Datasets Mehrdad Ghadiri, Mark Schmidt

AAAI 2017 Scalable Feature Selection via Distributed Diversity Maximization Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam

NeurIPS 2016 Linear Relaxations for Finding Diverse Elements in Metric Spaces Aditya Bhaskara, Mehrdad Ghadiri, Vahab Mirrokni, Ola Svensson