5 citations · 16 across the 20 of their papers we have counts for
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Socially Fair k-Means Clustering
Mehrdad Ghadiri, Samira Samadi, Santosh Vempala
We show that the popular k-means clustering algorithm (Lloyd's heuristic), used for a variety of scientific data, can result in outcomes that are unfavorable to subgroups of data (…
Amortized Rejection Sampling in Universal Probabilistic Programming
Saeid Naderiparizi, Adam Ścibior, Andreas Munk +9
Naive approaches to amortized inference in probabilistic programs with unbounded loops can produce estimators with infinite variance. This is particularly true of importance sampli…
Distributed Maximization of Submodular plus Diversity Functions for Multi-label Feature Selection on Huge Datasets
Mehrdad Ghadiri, Mark Schmidt
There are many problems in machine learning and data mining which are equivalent to selecting a non-redundant, high "quality" set of objects. Recommender systems, feature selection…
Active Distance-Based Clustering using K-medoids
Mehrdad Ghadiri, Amin Aghaee, Mahdieh Soleymani Baghshah
k-medoids algorithm is a partitional, centroid-based clustering algorithm which uses pairwise distances of data points and tries to directly decompose the dataset with points i…
Max-Sum Diversification, Monotone Submodular Functions and Semi-metric Spaces
Sepehr Abbasi Zadeh, Mehrdad Ghadiri
In many applications such as web-based search, document summarization, facility location and other applications, the results are preferable to be both representative and diversifie…