4 papers
Learning developmental dynamics from lineage context
Gokul Gowri, Nic Fishman, William N. Colgan +10
A central goal of biology is to predict the dynamics of multicellular systems. Lineage context (the states of a cell's sisters, cousins, etc.) could inform these predictions, but h…
Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
Kevin Zhang, Stephen Bates
Conformal prediction is a popular tool for uncertainty quantification that outputs prediction sets with finite-sample coverage guarantees. While prediction set size is commonly use…
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…
Causal Inference with Categorical Unobserved Confounder via Mixture Learning
Aytijhya Saha, Stephen Bates, Devavrat Shah
Unobserved confounding is a fundamental challenge for estimating causal effects. To address unobserved confounding, recent literature has turned to two different approaches -- prox…