Avradeep Bhowmik

I am a Research Scientist at Criteo AI Labs since March 2019, with a focus on Machine Learning, Data Science and related areas. Currently, I am collaborating with a team on using RNN's (LSTM's, GRU, etc) and language models (ELMo, BERT, etc.) for automated taxonomic product categorisation. Prior to this, I worked on the development and testing of gradient-boosted tree-based models for bid-optimisation in online advertising.

Before joining Criteo, I obtained a PhD degree from The University of Texas at Austin where my thesis focused on privacy-preserving learning from aggregated/obfuscated data. I was supervised by Prof. Joydeep Ghosh, and was affiliated with the Intelligent Data Exploration and Analysis Laboratory (IDEA Lab) and the Wireless Networking and Communications Group (WNCG) between 2013--2018.

I received my Master of Science (M.S.) degree from the Department of Electrical and Computer Engineering at UT Austin in 2016. Prior to graduate school, I received a Bachelor of Technology (B.Tech.) in Electrical Engineering from the Indian Institute of Technology, Bombay (IIT Bombay) in 2013. At IIT Bombay, I worked on my undergraduate thesis under the supervision of Prof. Vivek Borkar.


I am broadly interested in machine learning, data mining, statistical inference and related fields. In my education and my professional life, I have had a specific focus on machine learning and data mining in two domains-- online advertising and healthcare-- that included techniques like gradient boosted decision trees for bid-optimisation, recommendation systems, data reconstruction algorithms, ranking and rank aggregation, and learning with obfuscated data. In parallel, I have worked on language models using state-of-the-art deep neural networks like RNN's--GRU's and LSTM's-- and Transformers (including a hobby project training a Shakespeare chatbot/text generator). In the past I have also worked on applications involving sparse modelling, image processing, language models, hierarchical learning and geometric maps for recommender systems, and submodular optimisation techniques applied to problems in operations research.


A Bhowmik, J. Ghosh, O. Koyejo, “An Aggregation Framework for Predictive Modelling with Non-Retention Constraints for Sensitive Data”,
(Under Review)
A Bhowmik, Z Xing, S. Rajan, “A General Framework for Learning Under Taxonomy”,
(Under Review)
A Bhowmik, M Chen, Z Xing, S. Rajan, “EstImAgg: A Learning Framework for Groupwise Aggregated Data”, In Proceedings of the 2019 SIAM International Conference on Data Mining (SDM), Calgary, Alberta, Canada, May 2-4, 2019
A Bhowmik, J Ghosh, O Koyejo, “Frequency Domain Predictive Modelling with Aggregated Data”, In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017, Fort Lauderdale, Florida, April 20-22, 2017
[PDF] [Supplement]
A Bhowmik, J Ghosh, “LETOR Methods for Unsupervised Rank Aggregation”, In Proceedings of the 26th International World Wide Web Conference (WWW) 2017, Perth, Australia, April 3-7, 2017
[Link] [PDF]
A Bhowmik, J Ghosh, O Koyejo, “Sparse Parameter Recovery from Aggregated Data”, In Proceedings of the 33rd International Conference on Machine Learning (ICML) 2016, New York City, NY, USA, June 19-24, 2016
[PDF] [Supplement]
A Bhowmik, N Liu, E Zhong, B N Bhaskar, S Rajan, “Geometry Aware Mappings for High Dimensional Sparse Factors”,, In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) 2016, Cadiz, Spain, May 9-11, 2016
[PDF] [Supplement]
A Bhowmik, J Ghosh, O Koyejo, “Generalized Linear Models for Aggregated Data”, In Proceedingsof the 18th International Conference on Artificial Intelligence and Statistics, (AISTATS) 2015,San Diego, California, May 9-12, 2015, (Oral presentation)
A Bhowmik, V Borkar, D Garg, M Pallan, “Submodularity in the Team Formation Problem”,, In Proceedings of the 2014 SIAM International Conference on Data Mining (SDM), Philadelphia,Pennsylvania, April 24-26, 2014
[Link] [PDF] [Supplement]

Work Experience

March 2019 — present
Research Scientist
Criteo AI Labs, Palo Alto, CA
Manager: Zhengming Xing and S. Sathiya Keerthi
Sep 2013 — Dec 2018
Graduate Research Assistant
The University of Texas at Austin, Austin, TX
Supervisor: Joydeep Ghosh
May 2017 — Aug 2017
Research Scientist Intern
Criteo Research, Palo Alto, CA
Manager: Suju Rajan
Jun 2016 — Aug 2016
Intern Scientist
Verizon Labs, Palo Alto, CA
Manager: Santanu Das
May 2015 — Aug 2015
Research Intern
Yahoo Labs, Sunnyvale, CA
Manager: Suju Rajan
May 2012 — Aug 2012
Visiting Scientist
Institute of Science and Technology (IST), Klosterneuberg, Austria
Supervisor: Christoph Lampert


avradeep [dot] 1 [at] gmail [dot] com
a [dot] bhowmik [at] criteo [dot] com
Office Address:
325 Lytton Avenue,
Palo Alto, CA 94301
+1 (five one two) 300-4487

avradeep.1 [at] gmail [dot] com

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