Aniket Chakrabarti
Senior Applied Scientist @ Amazon Alexa AI
Email: chakrabarti.14 AT osu DOT edu
Google scholar: https://scholar.google.com/citations?user=Pdf_IjgAAAAJ&hl=en&oi=ao
Publications Service Resume
Publications
  1. H. Mittal, A. Chakrabarti, B. Bayar, A. Sharma, N. Rasiwasia. Distantly Supervised Transformers For E-Commerce Product QA. NAACL-HLT 2021 (To appear).
  2. Y. Wang, B. Bandyopadhyay, V. Patel, A. Chakrabarti, D. Sivakoff, S. Parthasarathy. Spread Sampling and Its Applications on Graphs. COMPLEX NETWORKS 2019.
  3. J. Sun, A. Vishnu, A. Chakrabarti, C. Siegel, S. Parthasarathy. ColdRoute: effective routing of cold questions in stack exchange sites. ECML-PKDD 2018.
  4. Y. Wang, B. Bandyopadhyay, A. Chakrabarti, D. Sivakoff, S. Parthasarathy. Spread Sampling for Graphs: Theory and Applications. KDD Workshops 2018.
  5. A Chakrabarti, S Parthasarathy, C Stewart. A Pareto Framework for Data Analytics on Heterogeneous Systems: Implications for Green Energy Usage and Performance. ICPP 2017. [pdf]
  6. Y Wang, A Chakrabarti, D Sivakoff, S Parthasarathy. Hierarchical Change Point Detection on Dynamic Networks. WebSci 2017. [pdf]
  7. Y Wang, A Chakrabarti, D Sivakoff, S Parthasarathy. Fast Change Point Detection on Dynamic Social Networks. IJCAI 2017. [pdf]
  8. A Chakrabarti, M Marwah, M Arlitt. Robust Anomaly Detection for Large-Scale Sensor Data. BuildSys 2016. [pdf]
  9. B Bandyopadhyay, D Fuhry, A Chakrabarti, S Parthasarathy. Topological graph sketching for incremental and scalable analytics. CIKM 2016. [pdf]
  10. A Chakrabarti, B Bandyopadhyay, S Parthasarathy. Improving locality sensitive hashing based similarity search and estimation for kernels. ECML/PKDD 2016. [pdf]
  11. A Chakrabarti, S Parthasarathy, C Stewart. Green-and heterogeneity-aware partitioning for data analytics. INFOCOM Workshops 2016.
  12. S Toledo, D Melo, G Andrade, F Mourão, A Chakrabarti, R Ferreira, S Parthasarathy, L Rocha. D-STHARk: Evaluating Dynamic Scheduling of Tasks in Hybrid Simulated Architectures1. ICCS 2016.
  13. A Chakrabarti, V Satuluri, A Srivathsan, S Parthasarathy. A bayesian perspective on locality sensitive hashing with extensions for kernel methods. TKDD 2015. [pdf]
  14. A Chakrabarti, S Parthasarathy. Sequential hypothesis tests for adaptive locality sensitive hashing. WWW 2015. [pdf]
  15. C Stewart, A Chakrabarti, R Griffith. Zoolander: Efficiently Meeting Very Strict, Low-Latency SLOs. ICAC 2013.
  16. A Chakrabarti. Scaling Analytics via Approximate and Distributed Computing. PhD thesis 2017. [pdf]
Service
Journal Editorial Board: DMKD
Program Committees:  KDD 18,19,20,21, SIGIR 20,21, WSDM 21, IJCAI 20, SISAP 18,19,20, HiPC 2019, DSAA 18,19, CIKM 17,18, SmartGridComm 2018, WWW 2017
Reviewer: ECML/PKDD, TKDE, TKDD, Pattern Recognition Letters, DAPD, VLDB Journal, TSAS, TDS