1 citations · 1 across the 2 of their papers we have counts for
3 papers
Causal Inference of Ordinal Outcomes: A Bayesian Solution
Rituparna Dey, Pradipta Sarkar, Tirthankar Dasgupta
Randomized experiments with ordinal outcomes are common in many scientific applications, but conventional causal estimands such as the average treatment effect are difficult to int…
Detecting and Preventing Data Poisoning Attacks on AI Models
Halima I. Kure, Pradipta Sarkar, Ahmed B. Ndanusa +1
This paper investigates the critical issue of data poisoning attacks on AI models, a growing concern in the ever-evolving landscape of artificial intelligence and cybersecurity. As…
A conditional randomization test to account for covariate imbalance in randomized experiments
Jonathan Hennessy, Tirthankar Dasgupta, Luke Miratrix +2
We consider the conditional randomization test as a way to account for covariate imbalance in randomized experiments. The test accounts for covariate imbalance by comparing the obs…