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1. aml-lecture-notes aml-lecture-notes Public

   Advanced Machine Learning course at ETH Zürich Fall 2020

   TeX 12 15

2. jaabmar/HAIPW jaabmar/HAIPW Public

   Implementation for the paper "Efficient Randomized Experiments Using Foundation Models"

   Python 5

3. Santorini Santorini Public

   Server-Client implementation of the board game "Santorini" by Cranio Creations

   HTML 1 1

4. jaabmar/kernel-test-bias jaabmar/kernel-test-bias Public

   Implementation for the paper "Detecting critical treatment effect bias in small subgroups"

   Python 4

5. jaabmar/confounder-lower-bound jaabmar/confounder-lower-bound Public

   Implementation for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"

   Python 3

6. jaabmar/RAMEN jaabmar/RAMEN Public

   Implementation for the paper "Doubly robust identification of treatment effects from multiple environments"

   Python 2