Sreangsu Acharyya

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 7

Top Topics

Semisupervised Learning

Factorization Methods

Empirical Bayes

Top Venues

Publications

Rahul Bothra, Rohan Gandhi, Ranjita Bhagwan, Venkata N. Padmanabhan, Rui Liang, Steve Carlson, Vinayaka Kamath, Sreangsu Acharyya, Ken Sueda, Somesh Chaturmohta, Harsha Sharma
Switchboard: Efficient Resource Management for Conferencing Services. SIGCOMM (2023)
Vinayaka Kamath, Eva Sinclair, Damon Gilkerson, Venkat N. Padmanabhan, Sreangsu Acharyya
Modeling Email Server I/O Events As Multi-temporal Point Processes. AIMLSystems (2022)
Kapil Agrawal, Viral Mehta, Sundararajan Renganathan, Sreangsu Acharyya, Venkata N. Padmanabhan, Chakri Kotipalli, Liting Zhao
Monitoring Cloud Service Unreachability at Scale. INFOCOM (2021)
Anmol Panda, Andre Gonawela, Sreangsu Acharyya, Dibyendu Mishra, Mugdha Mohapatra, Ramgopal Chandrasekaran, Joyojeet Pal
NivaDuck - A Scalable Pipeline to Build a Database of Political Twitter Handles for India and the United States. SMSociety (2020)
Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
Clustered Monotone Transforms for Rating Factorization. WSDM (2019)
Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
Clustered Monotone Transforms for Rating Factorization. CoRR (2018)
Arabin Kumar Dey, Raghav Somani, Sreangsu Acharyya
A case study of Empirical Bayes in User-Movie Recommendation system. CoRR (2017)
Sreangsu Acharyya, Joydeep Ghosh
Parameter Estimation of Generalized Linear Models without Assuming their Link Function. AISTATS (2015)
Sreangsu Acharyya, Joydeep Ghosh
MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking. UAI (2014)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning. ACM Trans. Knowl. Discov. Data 9 (1) (2014)
Oluwasanmi Koyejo, Sreangsu Acharyya, Joydeep Ghosh
Retargeted matrix factorization for collaborative filtering. RecSys (2013)
Sreangsu Acharyya, Arindam Banerjee, Daniel Boley
Bregman Divergences and Triangle Inequality. SDM (2013)
Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh
Learning to Rank With Bregman Divergences and Monotone Retargeting CoRR (2012)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
Transfer Learning with Cluster Ensembles. ICML Unsupervised and Transfer Learning (2012)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers CoRR (2012)
Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh
Learning to Rank With Bregman Divergences and Monotone Retargeting. UAI (2012)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. MCS (2011)
Sreangsu Acharyya, Sumit Negi, L. Venkata Subramaniam, Shourya Roy
Language independent unsupervised learning of short message service dialect. Int. J. Document Anal. Recognit. 12 (3) (2009)
Sreangsu Acharyya, Joydeep Ghosh
A spam resistant family of concavo-convex ranks for link analysis. CIKM (2008)
Sreangsu Acharyya, Sumit Negi, L. Venkata Subramaniam, Shourya Roy
Unsupervised learning of multilingual short message service (SMS) dialect from noisy examples. AND (2008)
Sreangsu Acharyya
Transductive De-Noising and Dimensionality Reduction using Total Bregman Regression. SDM (2006)
Sreangsu Acharyya, Joydeep Ghosh
Outlink estimation for pagerank computation under missing data. WWW (Alternate Track Papers & Posters) (2004)