Dharangutte, Prathamesh

8 publications

AISTATS 2025 Differentially Private Range Queries with Correlated Input Perturbation Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang

AISTATS 2025 Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time Vladimir Braverman, Prathamesh Dharangutte, Shreyas Pai, Vihan Shah, Chen Wang

ICML 2025 Relative Error Fair Clustering in the Weak-Strong Oracle Model Vladimir Braverman, Prathamesh Dharangutte, Shaofeng H.-C. Jiang, Hoai-An Nguyen, Chen Wang, Yubo Zhang, Samson Zhou

COLT 2024 Metric Clustering and MST with Strong and Weak Distance Oracles MohammadHossein Bateni, Prathamesh Dharangutte, Rajesh Jayaram, Chen Wang

AAAI 2023 Integer Subspace Differential Privacy Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu

ICLRW 2021 An Energy-Based View of Graph Neural Networks John Young Shin, Prathamesh Dharangutte

NeurIPS 2021 Dynamic Trace Estimation Prathamesh Dharangutte, Christopher Musco

AAAI 2021 Graph Learning for Inverse Landscape Genetics Prathamesh Dharangutte, Christopher Musco