Mo Tiwari

activity

20202023

most citedImage Compression and Classification Using Qubits and Quantum Deep Learning

7 citations · 7 across the 3 of their papers we have counts for

collaborators

Showing cs.LGShow all

3 papers · 1 filter

cs.LG2023

BanditPAM++: Faster $k$ -medoids Clustering

Mo Tiwari, Ryan Kang, Donghyun Lee +4

Clustering is a fundamental task in data science with wide-ranging applications. In $k$ -medoids clustering, cluster centers must be actual datapoints and arbitrary distance metrics…

cs.LG2023

Accelerating Machine Learning Algorithms with Adaptive Sampling

Mo Tiwari

The era of huge data necessitates highly efficient machine learning algorithms. Many common machine learning algorithms, however, rely on computationally intensive subroutines that…

cs.LG2020

BanditPAM: Almost Linear Time $k$ -Medoids Clustering via Multi-Armed Bandits

Mo Tiwari, Martin Jinye Zhang, James Mayclin +3

Clustering is a ubiquitous task in data science. Compared to the commonly used $k$ -means clustering, $k$ -medoids clustering requires the cluster centers to be actual data points an…

BanditPAM++: Faster k-medoids Clustering

Accelerating Machine Learning Algorithms with Adaptive Sampling

BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits

BanditPAM++: Faster $k$ -medoids Clustering

BanditPAM: Almost Linear Time $k$ -Medoids Clustering via Multi-Armed Bandits