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2020 – today
- 2023
[c16]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: 1000-1011- 2022
- [c15]Vinayaka Kamath, Eva Sinclair, Damon Gilkerson, Venkat N. Padmanabhan, Sreangsu Acharyya:
Modeling Email Server I/O Events As Multi-temporal Point Processes. AIMLSystems 2022: 6:1-6:9 - 2021
- [c14]Kapil Agrawal, Viral Mehta, Sundararajan Renganathan, Sreangsu Acharyya, Venkata N. Padmanabhan, Chakri Kotipalli, Liting Zhao:
Monitoring Cloud Service Unreachability at Scale. INFOCOM 2021: 1-10 - 2020
- [c13]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: 200-209
2010 – 2019
- 2019
- [c12]Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya:
Clustered Monotone Transforms for Rating Factorization. WSDM 2019: 132-140 - 2018
- [i4]Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya:
Clustered Monotone Transforms for Rating Factorization. CoRR abs/1811.00159 (2018) - 2017
- [i3]Arabin Kumar Dey, Raghav Somani, Sreangsu Acharyya:
A case study of Empirical Bayes in User-Movie Recommendation system. CoRR abs/1707.02294 (2017) - 2015
- [c11]Sreangsu Acharyya, Joydeep Ghosh:
Parameter Estimation of Generalized Linear Models without Assuming their Link Function. AISTATS 2015 - 2014
- [j2]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): 1:1-1:35 (2014) - [c10]Sreangsu Acharyya, Joydeep Ghosh:
MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking. UAI 2014: 2-11 - 2013
- [c9]Oluwasanmi Koyejo, Sreangsu Acharyya, Joydeep Ghosh:
Retargeted matrix factorization for collaborative filtering. RecSys 2013: 49-56 - [c8]Sreangsu Acharyya, Arindam Banerjee, Daniel Boley:
Bregman Divergences and Triangle Inequality. SDM 2013: 476-484 - 2012
- [c7]Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh:
Learning to Rank With Bregman Divergences and Monotone Retargeting. UAI 2012: 15-25 - [c6]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya:
Transfer Learning with Cluster Ensembles. ICML Unsupervised and Transfer Learning 2012: 123-132 - [i2]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya:
An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers. CoRR abs/1206.0994 (2012) - [i1]Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh:
Learning to Rank With Bregman Divergences and Monotone Retargeting. CoRR abs/1210.4851 (2012) - 2011
- [c5]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya:
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. MCS 2011: 269-278
2000 – 2009
- 2009
- [j1]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): 175-184 (2009) - 2008
- [c4]Sreangsu Acharyya, Joydeep Ghosh:
A spam resistant family of concavo-convex ranks for link analysis. CIKM 2008: 1505-1506 - [c3]Sreangsu Acharyya, Sumit Negi, L. Venkata Subramaniam, Shourya Roy:
Unsupervised learning of multilingual short message service (SMS) dialect from noisy examples. AND 2008: 67-74 - 2006
- [c2]Sreangsu Acharyya:
Transductive De-Noising and Dimensionality Reduction using Total Bregman Regression. SDM 2006: 514-518 - 2004
- [c1]Sreangsu Acharyya, Joydeep Ghosh:
Outlink estimation for pagerank computation under missing data. WWW (Alternate Track Papers & Posters) 2004: 486-487
Coauthor Index
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