Outlink estimation for pagerank computation under missing data. - Sreangsu Acharyya; Joydeep Ghosh (WWW (Alternate Track Papers & Posters), 2004)

Transductive De-Noising and Dimensionality Reduction using Total Bregman Regression. - Sreangsu Acharyya (SDM, 2006)

A spam resistant family of concavo-convex ranks for link analysis. - Sreangsu Acharyya; Joydeep Ghosh (CIKM, 2008)

Unsupervised learning of multilingual short message service (SMS) dialect from noisy examples. - Sreangsu Acharyya; Sumit Negi; L. Venkata Subramaniam; Shourya Roy (AND, 2008)

Language independent unsupervised learning of short message service dialect. - Sreangsu Acharyya; Sumit Negi; L. Venkata Subramaniam; Shourya Roy (Int. J. Document Anal. Recognit., 2009)

C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. - Ayan Acharya; Eduardo R. Hruschka; Joydeep Ghosh; Sreangsu Acharyya (MCS, 2011)

Learning to Rank With Bregman Divergences and Monotone Retargeting. - Sreangsu Acharyya; Oluwasanmi Koyejo; Joydeep Ghosh (UAI, 2012)

An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers - Ayan Acharya; Eduardo R. Hruschka; Joydeep Ghosh; Sreangsu Acharyya (CoRR, 2012)

Transfer Learning with Cluster Ensembles. - Ayan Acharya; Eduardo R. Hruschka; Joydeep Ghosh; Sreangsu Acharyya (ICML Unsupervised and Transfer Learning, 2012)

Retargeted matrix factorization for collaborative filtering. - Oluwasanmi Koyejo; Sreangsu Acharyya; Joydeep Ghosh (RecSys, 2013)

Bregman Divergences and Triangle Inequality. - Sreangsu Acharyya; Arindam Banerjee 001; Daniel Boley (SDM, 2013)

MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking. - Sreangsu Acharyya; Joydeep Ghosh (UAI, 2014)

An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning. - Ayan Acharya; Eduardo R. Hruschka; Joydeep Ghosh; Sreangsu Acharyya (ACM Trans. Knowl. Discov. Data, 2014)

Parameter Estimation of Generalized Linear Models without Assuming their Link Function. - Sreangsu Acharyya; Joydeep Ghosh (AISTATS, 2015)

A case study of Empirical Bayes in User-Movie Recommendation system. - Arabin Kumar Dey; Raghav Somani; Sreangsu Acharyya (CoRR, 2017)

Clustered Monotone Transforms for Rating Factorization. - Gaurush Hiranandani; Raghav Somani; Oluwasanmi Koyejo; Sreangsu Acharyya (WSDM, 2019)

NivaDuck - A Scalable Pipeline to Build a Database of Political Twitter Handles for India and the United States. - Anmol Panda; Andre Gonawela; Sreangsu Acharyya; Dibyendu Mishra; Mugdha Mohapatra; Ramgopal Chandrasekaran; Joyojeet Pal (SMSociety, 2020)

Monitoring Cloud Service Unreachability at Scale. - Kapil Agrawal; Viral Mehta; Sundararajan Renganathan; Sreangsu Acharyya; Venkata N. Padmanabhan; Chakri Kotipalli; Liting Zhao (INFOCOM, 2021)

Modeling Email Server I/O Events As Multi-temporal Point Processes. - Vinayaka Kamath; Eva Sinclair; Damon Gilkerson; Venkat N. Padmanabhan; Sreangsu Acharyya (AIMLSystems, 2022)

Switchboard: Efficient Resource Management for Conferencing Services. - Rahul Bothra; Rohan Gandhi; Ranjita Bhagwan; Venkata N. Padmanabhan; Rui Liang; Steve Carlson; Vinayaka Kamath; Sreangsu Acharyya; Ken Sueda; Somesh Chaturmohta; Harsha Sharma (SIGCOMM, 2023)