research
∙
02/24/2023
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes
Studies involving both randomized experiments as well as observational d...
share
research
∙
02/08/2023
Participatory Systems for Personalized Prediction
Machine learning models are often personalized based on information that...
research
∙
04/15/2022
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
Applications of machine learning in healthcare often require working wit...
research
∙
02/22/2022
Counterfactual Phenotyping with Censored Time-to-Events
Estimation of treatment efficacy of real-world clinical interventions in...
research
∙
01/16/2021
Deep Cox Mixtures for Survival Regression
Survival analysis is a challenging variation of regression modeling beca...
research
∙
04/14/2020
Latent Bayesian Inference for Robust Earnings Estimates
Equity research analysts at financial institutions play a pivotal role i...
research
∙
03/02/2020
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
We describe a new approach to estimating relative risks in time-to-event...
research
∙
05/14/2019
Nonlinear Semi-Parametric Models for Survival Analysis
Semi-parametric survival analysis methods like the Cox Proportional Haza...
research
∙
05/08/2019
