I am a final-year PhD student in the Department of Computer Science at Duke University, advised by Pankaj K. Agarwal. I design algorithms for problems in machine learning and large-scale data processing.
* Equal contribution; authors are listed in alphabetical order.
† Equal leading contribution.
Aryan Esmailpour†, Rahul Raychaudhury†, Sainyam Galhotra, and Stavros Sintos. Clustering with Weak Distance Oracles. Annual Conference on Neural Information Processing Systems (NeurIPS), 2026.
Rahul Raychaudhury, Aryan Esmailpour, Sainyam Galhotra, and Stavros Sintos. Metric k-clustering using only Weak Comparison Oracles. International Conference on Learning Representations (ICLR), 2026
Rahul Raychaudhury, Haibo Xu, Pankaj K. Agarwal, Stavros Sintos, Jun Yang. Coresets for Robust Query Optimization. ACM Symposium on Principles of Database Systems (PODS), 2026.
Rahul Raychaudhury, Wen-Zhi Li, Syamantak Das, Sainyam Galhotra, and Stavros Sintos. Metric Clustering and Graph Optimization Problems using Weak Comparison Oracles. Annual Conference on Learning Theory (COLT), 2025.
Mohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos, and Abolfazl Asudeh. Fair Set Cover. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025.
Pankaj K. Agarwal, Sariel Har-Peled, Rahul Raychaudhury, Stavros Sintos.* Fast Approximation Algorithms for Piercing Boxes by Points. ACM-SIAM Symposium on Discrete Algorithms (SODA), 2024.