Mehrdad Ghadiri

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Feature Selections

Positive Semidefinite Matrices

Top Venues

Publications

Emile Anand, Jan van den Brand, Mehrdad Ghadiri, Daniel Zhang
The Bit Complexity of Dynamic Algebraic Formulas and their Determinants. CoRR (2024)
Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye
Improving the Bit Complexity of Communication for Distributed Convex Optimization. STOC (2024)
Emile Anand, Jan van den Brand, Mehrdad Ghadiri, Daniel J. Zhang
The Bit Complexity of Dynamic Algebraic Formulas and Their Determinants. ICALP (2024)
Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye
Improving the Bit Complexity of Communication for Distributed Convex Optimization. CoRR (2024)
Mehrdad Ghadiri, Richard Santiago, F. Bruce Shepherd
A Parameterized Family of Meta-Submodular Functions. SODA (2024)
Mehrdad Ghadiri
On Symmetric Factorizations of Hankel Matrices. CoRR (2023)
Mehrdad Ghadiri, Richard Peng, Santosh S. Vempala
The Bit Complexity of Efficient Continuous Optimization. CoRR (2023)
Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni
Approximately Optimal Core Shapes for Tensor Decompositions. CoRR (2023)
Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni
Approximately Optimal Core Shapes for Tensor Decompositions. ICML (2023)
Mehrdad Ghadiri, David Arbour, Tung Mai, Cameron Musco, Anup B. Rao
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation. NeurIPS (2023)
Mehrdad Ghadiri
On Symmetric Factorizations of Hankel Matrices. FOCS (2023)
Mehrdad Ghadiri, Richard Peng, Santosh S. Vempala
The Bit Complexity of Efficient Continuous Optimization. FOCS (2023)
Matthew Fahrbach, Gang Fu, Mehrdad Ghadiri
Subquadratic Kronecker Regression with Applications to Tensor Decomposition. NeurIPS (2022)
Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
Amortized Rejection Sampling in Universal Probabilistic Programming. AISTATS (2022)
Matthew Fahrbach, Thomas Fu, Mehrdad Ghadiri
Subquadratic Kronecker Regression with Applications to Tensor Decomposition. CoRR (2022)
Mehrdad Ghadiri, Mohit Singh, Santosh S. Vempala
Constant-Factor Approximation Algorithms for Socially Fair k-Clustering. CoRR (2022)
Mehrdad Ghadiri, Richard Santiago, F. Bruce Shepherd
Beyond Submodular Maximization via One-Sided Smoothness. SODA (2021)
Mehrdad Ghadiri, Richard Peng, Santosh S. Vempala
. CoRR (2021)
Matthew Fahrbach, Mehrdad Ghadiri, Thomas Fu
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling. CoRR (2021)
Mehrdad Ghadiri, Samira Samadi, Santosh S. Vempala
Socially Fair k-Means Clustering. FAccT (2021)
Mehrdad Ghadiri, Richard Santiago, F. Bruce Shepherd
A Parameterized Family of Meta-Submodular Functions. CoRR (2020)
Mehrdad Ghadiri, Samira Samadi, Santosh S. Vempala
Fair k-Means Clustering. CoRR (2020)
Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Günes Baydin, Bradley Gram-Hansen, Christian Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
Amortized Rejection Sampling in Universal Probabilistic Programming. CoRR (2019)
Mehrdad Ghadiri, Richard Santiago, F. Bruce Shepherd
Beyond Submodular Maximization. CoRR (2019)
Mehrdad Ghadiri, Mark Schmidt
Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets. CoRR (2019)
Mehrdad Ghadiri, Mark Schmidt
Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets. AISTATS (2019)
Sepehr Abbasi Zadeh, Mehrdad Ghadiri, Vahab S. Mirrokni, Morteza Zadimoghaddam
Scalable Feature Selection via Distributed Diversity Maximization. AAAI (2017)
Mehrdad Ghadiri, Sina Yazdanbod
Minimizing the Total Movement for Movement to Independence Problem on a Line. CoRR (2016)
Mehrdad Ghadiri, Sina Yazdanbod
Minimizing the Total Movement for Movement to Independence Problem on a Line. CCCG (2016)
Aditya Bhaskara, Mehrdad Ghadiri, Vahab S. Mirrokni, Ola Svensson
Linear Relaxations for Finding Diverse Elements in Metric Spaces. NIPS (2016)
Amin Aghaee, Mehrdad Ghadiri, Mahdieh Soleymani Baghshah
Active Distance-Based Clustering Using K-Medoids. PAKDD (1) (2016)
Mehrdad Ghadiri, Amin Aghaee, Mahdieh Soleymani Baghshah
Active Distance-Based Clustering using K-medoids. CoRR (2015)
Saieed Akbari, Khashayar Etemadi, Peyman Ezzati, Mehrdad Ghadiri
Even and Odd Cycles Passing a Given Edge or a Vertex. CoRR (2015)
Sepehr Abbasi Zadeh, Mehrdad Ghadiri
Max-Sum Diversification, Monotone Submodular Functions and Semi-metric Spaces. CoRR (2015)