Publications

One-shot Conditional Sampling: MMD meets Nearest Neighbors.  
Anirban Chatterjee, Sayantan Choudhury, Rohan Hore. To appear in Proceedings of The 43rd International Conference on Machine Learning (ICML), 2026.

Higher-Order Graphon Theory: Fluctuations, Degeneracies, and Inference.   
Anirban Chatterjee, Soham Dan, Bhaswar B. Bhattacharya. The Annals of Statistics, 2026.

A Martingale Kernel Two-Sample Test.     
Anirban Chatterjee, Aaditya Ramdas. In Proceedings of The 37th International Conference on Algorithmic Learning Theory (ALT), 2026. Elegant Paper Badge.

Fluctuation of the Largest Eigenvalue of a Kernel Matrix with application in Graphon-based Random Graphs.   
Anirban Chatterjee, Jiaoyang Huang. The Annals of Applied Probability, 2025.

Boosting the Power of Kernel Two-Sample Tests.     
Anirban Chatterjee, Bhaswar B. Bhattacharya. Biometrika, 2025.

Detecting Planted Partition in Sparse Multi-Layer Networks.     
Anirban Chatterjee, Sagnik Nandy, Ritwik Sadhu. Information and Inference: A Journal of the IMA, 2024.

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model.     
Abhinav Chakraborty, Anirban Chatterjee, Abhinandan Dalal. In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.

Fluctuations of Subgraph Counts in Graphon based Random Graphs.   
Bhaswar B. Bhattacharya, Anirban Chatterjee, Svante Janson. Combinatorics, Probability and Computing, 2023.

Spectral properties for the Laplacian of a generalized Wigner matrix.   
Anirban Chatterjee, Rajat Subhra Hazra. Random Matrices: Theory and Applications, 2022.

Preprints

Multi-Source Conformal Prediction: Leveraging Heterogeneity via Localization.
Rohan Hore, Anirban Chatterjee, Sayantan Choudhury.

A Ranking Approach for Measuring Calibration.   
Anirban Chatterjee, Rina Foygel Barber.

Scaling Limits for Ising Models on Inhomogeneous Random Graphs and Applications. 
Sanchayan Bhowal, Anirban Chatterjee, Somabha Mukherjee.

Conditional Mean Independence and Global Sensitivity Analysis using Nearest Neighbor Graphs.    
Anirban Chatterjee, Ziang Niu, Bhaswar B. Bhattacharya.

Ising Models on Inhomogeneous Random Graphs: Inference, Local Asymptotic Minimaxity, and Limit of Experiments. 
Somabha Mukherjee, Sanchayan Bhowal, Anirban Chatterjee, Bhaswar B. Bhattacharya.

Asymptotic Normality of Subgraph Counts in Sparse Inhomogeneous Random Graphs. 
Sayak Chatterjee, Anirban Chatterjee, Abhinav Chakraborty, Bhaswar B. Bhattacharya.

A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference).    
Anirban Chatterjee, Ziang Niu, Bhaswar B. Bhattacharya.