activity
20152026
most citedFair and Diverse DPP-based Data Summarization

54 citations · 151 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.DS2026

A Walk From Free Probability to Matrix Discrepancy III: Higher Rank Kadison-Singer and Spectrally Thin Trees

Tarun Kathuria

Let be positive semidefinite matrices of rank at most , with and $\norm{A_i}\le\varepsilon$. We prove that one sign can be assigned to each origi…

cs.DS2020★ 3 cited

A Faster Interior Point Method for Semidefinite Programming

Haotian Jiang, Tarun Kathuria, Yin Tat Lee +2

Semidefinite programs (SDPs) are a fundamental class of optimization problems with important recent applications in approximation algorithms, quantum complexity, robust learning, a…

cs.DS2020

A Potential Reduction Inspired Algorithm for Exact Max Flow in Almost Time

Tarun Kathuria

We present an algorithm for computing - maximum flows in directed graphs in time. Our algorithm is inspired by potential reduction interi…

cs.DS2016★ 6 cited

On the Complexity of Constrained Determinantal Point Processes

L. Elisa Celis, Amit Deshpande, Tarun Kathuria +2

Determinantal Point Processes (DPPs) are probabilistic models that arise in quantum physics and random matrix theory and have recently found numerous applications in computer scien…

cs.DS2016★ 8 cited

On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes

Tarun Kathuria, Amit Deshpande

Subset selection problems ask for a small, diverse yet representative subset of the given data. When pairwise similarities are captured by a kernel, the determinants of submatrices…