Jayesh Choudhari

Orcid: 0000-0002-6246-4615

According to our database1, Jayesh Choudhari authored at least 14 papers between 2017 and 2023.

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Bibliography

2023
DeMEtRIS: Counting (near)-Cliques by Crawling.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022
Online Coresets for Parameteric and Non-Parametric Bregman Clustering.
Trans. Mach. Learn. Res., 2022

A New Dynamic Algorithm for Densest Subhypergraphs.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

On Coresets for Fair Regression and Individually Fair Clustering.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020
Online Coresets for Clustering with Bregman Divergences.
CoRR, 2020

Efficient Hierarchical Clustering for Classification and Anomaly Detection.
CoRR, 2020

Streaming Coresets for Symmetric Tensor Factorization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

BioGen: Automated Biography Generation.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

2018
Nearly Optimal Space Efficient Algorithm for Depth First Search.
CoRR, 2018

On Structural Parameterizations of Happy Coloring, Empire Coloring and Boxicity.
Proceedings of the WALCOM: Algorithms and Computation - 12th International Conference, 2018

Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Saving Critical Nodes with Firefighters is FPT.
Proceedings of the 44th International Colloquium on Automata, Languages, and Programming, 2017


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