1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2026
Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models
Anchit Jain, Kevin Zhang, Stephen Bates
Time-to-event data is widespread across the life sciences and engineering, but it is typically encountered together with censoring, which complicates the application of standard ma…
stat.ML2025★ 1 cited
Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective
Anchit Jain, Stephen Bates
Decomposing prediction uncertainty into aleatoric (irreducible) and epistemic (reducible) components is critical for the reliable deployment of machine learning systems. While the…
cs.LG2024★ 1 cited
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Anchit Jain, Rozhin Nobahari, Aristide Baratin +1
Machine learning systems often acquire biases by leveraging undesired features in the data, impacting accuracy variably across different sub-populations. Current understanding of b…