Sunav Choudhary

Research Scientist


Sunav Choudhary is a research scientist at Adobe Research, Bangalore. His research interests include sparse and low-dimensional models and optimization algorithms for machine learning. At Adobe, he works on understanding and utilizing structure in data for building and optimizing digital marketing systems.

Sunav completed his Ph.D. in Electrical Engineering from the University of Southern California in 2016. His thesis focused on analysis of structure in various signal processing inverse problems. He received his B.Tech. degree in Electronics and Electrical Communication Engineering from IIT Kharagpur in 2010.

A selection of Sunav’s publications are listed below. A more complete publication list is available through his Google Scholar profile.


Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint

Chopra, H., Sinha, A., Choudhary, S., Rossi, R., Indela, P., Parwatala, V., Paul, S., Maiti, A. (Oct. 21, 2023)

ACM International Conference on Information and Knowledge Management (CIKM)

Flash: Concept Drift Adaptation in Federated Learning

Panchal, K., Choudhary, S., Mitra, S., Mukherjee, K., Sarkhel, S., Mitra, S., Guan, H. (Jul. 23, 2023)

International Conference on Machine Learning (ICML)

Correlated Stochastic Knapsack with a Submodular Objective

Yang, S., Khuller, S., Choudhary, S., Mitra, S., Mahadik, K. (Sep. 1, 2022)

European Symposium on Algorithms (ESA)

Scheduling ML Training on Unreliable Spot Instances

Yang, S., Khuller, S., Choudhary, S., Mitra, S., Mahadik, K. (Dec. 1, 2021)

IEEE/ACM International Conference on Utility and Cloud Computing Companion

Mentor Pattern Identification from Product Usage Logs

Garg, A., Kharb, A., Malviya, Y., Sagar, J., Sinha, A., Burhanuddin, I., Choudhary, S. (Mar. 20, 2019)

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Sparse Decomposition for Time Series Forecasting and Anomaly Detection

Choudhary, S., Hiranandani, G., Saini, S. (May. 3, 2018)

Proceedings of the 2017 SIAM International Conference on Data Mining

An LSTM Based System for Prediction of Human Activities with Durations

Krishna, K., Jain, D., Mehta, S., Choudhary, S. (Dec. 31, 2017)

To be presented at ACM UbiComp 2018

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Smart Geo-fencing with Location Sensitive Product Affinity

Garg, A., Choudhary, S., Bajaj, P., Agrawal, S., Kedia, A., Agrawal, S. (Nov. 7, 2017)

25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017)