Search Results for author: Prabhanjan Kambadur

Found 6 papers, 1 papers with code

Faster Greedy MAP Inference for Determinantal Point Processes

1 code implementation ICML 2017 Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin

Determinantal point processes (DPPs) are popular probabilistic models that arise in many machine learning tasks, where distributions of diverse sets are characterized by matrix determinants.

Point Processes

Adaptive Submodular Ranking and Routing

no code implementations5 Jun 2016 Fatemeh Navidi, Prabhanjan Kambadur, Viswanath Nagarajan

We obtain a logarithmic factor approximation algorithm for this adaptive ranking problem, which is the best possible (unless P=NP).

Active Learning

Spectral Clustering via the Power Method -- Provably

no code implementations12 Nov 2013 Christos Boutsidis, Alex Gittens, Prabhanjan Kambadur

Spectral clustering is one of the most important algorithms in data mining and machine intelligence; however, its computational complexity limits its application to truly large scale data analysis.

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