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Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

Clustering algorithms Engineering & Materials Science
Bregman Divergence Mathematics
Clustering Mathematics
Error analysis Engineering & Materials Science
Factorization Engineering & Materials Science
Covariance matrix Engineering & Materials Science
Aviation Engineering & Materials Science
Recommender systems Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2006 2022

Research Output 2002 2019

Adversarial atacks on an oblivious recommender

Christakopoulou, K. & Banerjee, A., Sep 10 2019, RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 322-330 9 p. (RecSys 2019 - 13th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Recommender systems
Learning systems
Experiments

Scalable algorithms for locally low-rank matrix modeling

Gu, Q., Trzasko, J. D. & Banerjee, A., Dec 1 2019, In : Knowledge and Information Systems. 61, 3, p. 1457-1484 28 p.

Research output: Contribution to journalArticle

Recommender systems
Medical imaging
Magnetic resonance
Singular value decomposition
Data structures

An improved analysis of alternating minimization for structured multi-response regression

Chen, S. & Banerjee, A., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6616-6627 12 p.

Research output: Contribution to journalConference article

Linear regression

DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora

Giaquinto, R. & Banerjee, A., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 971-976 6 p. 8594929. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Scalability
Health

Learning to interact with users: A collaborative-bandit approach

Christakopoulou, K. & Banerjee, A., Jan 1 2018, p. 612-620. 9 p.

Research output: Contribution to conferencePaper

Learning algorithms
Recommender systems
Feedback
Collaborative filtering
Merging