Sreangsu Acharyya

Orcid: 0009-0001-2644-9581

According to our database1, Sreangsu Acharyya authored at least 20 papers between 2004 and 2023.

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Bibliography

2023
Switchboard: Efficient Resource Management for Conferencing Services.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

2022
Modeling Email Server I/O Events As Multi-temporal Point Processes.
Proceedings of the Second International Conference on AI-ML Systems, 2022

2021
Monitoring Cloud Service Unreachability at Scale.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
NivaDuck - A Scalable Pipeline to Build a Database of Political Twitter Handles for India and the United States.
Proceedings of the SMSociety'20: International Conference on Social Media and Society, 2020

2019
Clustered Monotone Transforms for Rating Factorization.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2017
A case study of Empirical Bayes in User-Movie Recommendation system.
CoRR, 2017

2015
Parameter Estimation of Generalized Linear Models without Assuming their Link Function.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning.
ACM Trans. Knowl. Discov. Data, 2014

MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

2013
Bregman Divergences and Triangle Inequality.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Retargeted matrix factorization for collaborative filtering.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012
Transfer Learning with Cluster Ensembles.
Proceedings of the Unsupervised and Transfer Learning, 2012

An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers
CoRR, 2012

Learning to Rank With Bregman Divergences and Monotone Retargeting.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

2009
Language independent unsupervised learning of short message service dialect.
Int. J. Document Anal. Recognit., 2009

2008
Unsupervised learning of multilingual short message service (SMS) dialect from noisy examples.
Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008

A spam resistant family of concavo-convex ranks for link analysis.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2006
Transductive De-Noising and Dimensionality Reduction using Total Bregman Regression.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

2004
Outlink estimation for pagerank computation under missing data.
Proceedings of the 13th international conference on World Wide Web, 2004


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