5 citations · 6 across the 4 of their papers we have counts for
4 papers
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors
Bar Eini Porat, Rom Gutman, Uri Shalit +1
Explainability methods have progressed rapidly, but global explanations for time-series models remain underdeveloped, with most approaches focusing on local, instance-level attribu…
From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies
Rom Gutman, Shimon Sheiba, Omer Noy Klein +5
We propose a framework for building patient-specific treatment recommendation models, building on the large recent literature on learning patient-level causal models and inspired b…
Propensity score models are better when post-calibrated
Rom Gutman, Ehud Karavani, Yishai Shimoni
Theoretical guarantees for causal inference using propensity scores are partly based on the scores behaving like conditional probabilities. However, scores between zero and one, es…
PyDTS: A Python Package for Discrete-Time Survival Analysis with Competing Risks and Optional Penalization
Tomer Meir, Rom Gutman, Malka Gorfine
Time-to-event (survival) analysis models the time until a pre-specified event occurs. When time is measured in discrete units or rounded into intervals, standard continuous-time mo…