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Iterative Beran EOT

KL-Regularized Entropic Optimal Transport for Adaptive Survival Analysis with Censored Data

Python

Content

  • Classic Beran estimator implementation (beran_baseline.py)
  • Proposed Iterative Beran + KL-regularized EOT algorithm (beran_iterative_k_ti.py)
  • Survival function model with adaptive weighting (survival_function_model.py)
  • Demo script with visualization and comparison (demo.py)
  • Experiment saving and loading utilities (save_results.py)
  • Fully reproducible requirements.txt

Installation

  1. Clone the repository:
    git clone https://github.com/NTAILab/Iterative_Beran_EOT.git
    cd Iterative_Beran_EOT

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