Mehrdad Ghadiri
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SODA | Entrywise Approximation for Matrix Inversion and Linear Systems. | Mehrdad Ghadiri, Hoai-An Nguyen, Junzhao Yang |
| 2026 | STOC | Entrywise Approximate Solutions for SDDM Systems in Almost-Linear Time. | Angelo Farfan, Mehrdad Ghadiri, Junzhao Yang |
| 2025 | ICML | Fast Tensor Completion via Approximate Richardson Iteration. | Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook, Ali Jadbabaie |
| 2024 | ICALP | The Bit Complexity of Dynamic Algebraic Formulas and Their Determinants. | Emile Anand, Jan van den Brand, Mehrdad Ghadiri, Daniel J. Zhang |
| 2024 | SODA | A Parameterized Family of Meta-Submodular Functions. | Mehrdad Ghadiri, Richard Santiago, F. Bruce Shepherd |
| 2024 | STOC | Improving the Bit Complexity of Communication for Distributed Convex Optimization. | Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye |
| 2023 | FOCS | On Symmetric Factorizations of Hankel Matrices. | Mehrdad Ghadiri |
| 2023 | FOCS | The Bit Complexity of Efficient Continuous Optimization. | Mehrdad Ghadiri, Richard Peng, Santosh S. Vempala |
| 2023 | ICML | Approximately Optimal Core Shapes for Tensor Decompositions. | Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni |
| 2022 | AISTATS | Amortized Rejection Sampling in Universal Probabilistic Programming. | Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schrder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood |
| 2021 | SODA | Beyond Submodular Maximization via One-Sided Smoothness. | Mehrdad Ghadiri, Richard Santiago, F. Bruce Shepherd |
| 2019 | AISTATS | Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets. | Mehrdad Ghadiri, Mark Schmidt |
| 2017 | AAAI | Scalable Feature Selection via Distributed Diversity Maximization. | Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam |
| 2016 | PAKDD | Active Distance-Based Clustering Using K-Medoids. | Amin Aghaee, Mehrdad Ghadiri, Mahdieh Soleymani Baghshah |