On Sketching for Gaussian Process Regression with New Statistical Guarantees with with Jayesh Malaviya, Rachit Chhaya, and Anirban Dasgupta at TMLR 2026.
A Simple PTAS for Weighted k-means and Sensor Coverage with Akash Pareek at OLA 2026.
Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions with Gurmehak Kaur Chadha, Surendra Kumar, and Bapi Chatterjee at ICML 2025.
Online Coresets for Parametric and Non-Parametric Bregman Clustering, with Rachit Chhaya, Jayesh Choudhari, and Anirban Dasgupta at TMLR 2022.
On Coresets for Fair Regression and Individually Fair Clustering, with Rachit Chhaya, Jayesh Choudhari, and Anirban Dasgupta at AISTATS 2022.
Lp Subspace Embedding in Input Sparsity Time (Extended Abstract) at IKDD CODS-COMAD 2021.
Streaming Coresets for Symmetric Tensor Factorization, with Rachit Chhaya, Jayesh Choudhari, and Anirban Dasgupta at ICML 2020.
On Coresets for Regularized Regression, with Rachit Chhaya, and Anirban Dasgupta at ICML 2020.
Consensus-Aware Sociopsychological Trust Model for Wireless Sensor Networks, with Heena Rathore, and Venkataramana Badarla, at TOSN 2016