A Gibbs Posterior Framework for Fair Clustering A Chakraborty, A Bhattacharya, D Pati Entropy 26 (1), 63, 2024 | 2 | 2024 |
Robust probabilistic inference via a constrained transport metric A Chakraborty, A Bhattacharya, D Pati arXiv preprint arXiv:2303.10085, 2023 | 2 | 2023 |
Scalable Model-Based Gaussian Process Clustering A Chakraborty, A Chakraborty IEEE International Conference on Acoustics, Speech and Signal Processing …, 2024 | 1 | 2024 |
Fair Clustering via Hierarchical Fair-Dirichlet Process A Chakraborty, A Bhattacharya, D Pati arXiv preprint arXiv:2305.17557, 2023 | 1 | 2023 |
Probabilistic Spike Train Inference A Chakraborty IEEE International Conference on Acoustics, Speech and Signal Processing …, 2024 | | 2024 |
Constrained Reweighting of Distributions: An Optimal Transport Approach A Chakraborty, A Bhattacharya, D Pati Entropy 26 (3), 249, 2024 | | 2024 |
A unified Bayesian framework for interval hypothesis testing in clinical trials A Chakraborty, MH Murray, I Lipkovich, Y Du arXiv preprint arXiv:2402.13890, 2024 | | 2024 |
Differentially Private Bayesian Tests A Chakraborty, S Datta arXiv preprint arXiv:2401.15502, 2024 | | 2024 |
Efficient Bayesian High-Dimensional Classification via Random Projection with Application to Gene Expression Data A Chakraborty Journal of Data Science, 22 (1), 152-172, 2023 | | 2023 |