3 papers
stat.ME2026
Towards Fair Predictions: Group Conditional Concordance Index to Quantify Fairness in Time-to-Event Prognostication
Haoyuan Wang, Riddhiman Bhattacharya, Richardo Henao +3
Fairness metrics are essential for rigorously defining, quantifying, and mitigating biases in predictive models. While most existing metrics focus on binary classification tasks, f…
cs.LG2025
Entropy-Guided Sampling of Flat Modes in Discrete Spaces
Pinaki Mohanty, Riddhiman Bhattacharya, Ruqi Zhang
Sampling from flat modes in discrete spaces is a crucial yet underexplored problem. Flat modes represent robust solutions and have broad applications in combinatorial optimization…
cs.LG2024
Active Learning for Fair and Stable Online Allocations
Riddhiman Bhattacharya, Thanh Nguyen, Will Wei Sun +1
We explore an active learning approach for dynamic fair resource allocation problems. Unlike previous work that assumes full feedback from all agents on their allocations, we consi…