RealCause: Realistic Causal Inference Benchmarking

30 November 2020

Papers citing "RealCause: Realistic Causal Inference Benchmarking"

8 / 8 papers shown

Title
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach Mahmoud Shoush Marlon Dumas 39 1 0 13 Jul 2023
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation Chris C. Emezue Alexandre Drouin T. Deleu Stefan Bauer Yoshua Bengio CML 35 2 0 11 Jul 2023
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data Mathieu Chevalley Yusuf Roohani Arash Mehrjou J. Leskovec Patrick Schwab CML 26 37 0 31 Oct 2022
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 40 18 0 18 Sep 2022
Quantitative probing: Validating causal models using quantitative domain knowledge Daniel Grünbaum M. L. Stern E. Lang 25 5 0 07 Sep 2022
Validating Causal Inference Methods Harsh Parikh Carlos Varjao Louise Xu E. T. Tchetgen CML 19 20 0 09 Feb 2022
ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects N. M. Kinyanjui Fredrik D. Johansson CML 30 0 0 12 Nov 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions Amit Sharma Vasilis Syrgkanis Cheng Zhang Emre Kıcıman 24 26 0 27 Aug 2021