2 citations · 3 across the 2 of their papers we have counts for
3 papers
q-bio.NC2023
Bayesian Spike Train Inference via Non-Local Priors
Abhisek Chakraborty
Advances in neuroscience have enabled researchers to measure the activities of large numbers of neurons simultaneously in behaving animals. We have access to the fluorescence of ea…
stat.ML2023★ 1 cited
Fair Clustering via Hierarchical Fair-Dirichlet Process
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
The advent of ML-driven decision-making and policy formation has led to an increasing focus on algorithmic fairness. As clustering is one of the most commonly used unsupervised mac…
stat.ME2023★ 2 cited
Robust probabilistic inference via a constrained transport metric
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Flexible Bayesian models are typically constructed using limits of large parametric models with a multitude of parameters that are often uninterpretable. In this article, we offer…