226 citations · 1.9k across the 128 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016★ 4 cited
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
Chengtao Li, Stefanie Jegelka, Suvrit Sra
We study probability measures induced by set functions with constraints. Such measures arise in a variety of real-world settings, where prior knowledge, resource limitations, or ot…
stat.ML2016★ 61 cited
Geometric Mean Metric Learning
Pourya Habib Zadeh, Reshad Hosseini, Suvrit Sra
We revisit the task of learning a Euclidean metric from data. We approach this problem from first principles and formulate it as a surprisingly simple optimization problem. Indeed,…
stat.ML2016★ 27 cited
Directional Statistics in Machine Learning: a Brief Review
Suvrit Sra
The modern data analyst must cope with data encoded in various forms, vectors, matrices, strings, graphs, or more. Consequently, statistical and machine learning models tailored to…