A Unifying Causal Framework for Analyzing Dataset Shift-stable Learning Algorithms

27 May 2019

Papers citing "A Unifying Causal Framework for Analyzing Dataset Shift-stable Learning Algorithms"

7 / 7 papers shown

Title
Open-Source Drift Detection Tools in Action: Insights from Two Use Cases Rieke Müller Mohamed Abdelaal Davor Stjelja 26 1 0 29 Apr 2024
Data Augmentations for Improved (Large) Language Model Generalization Amir Feder Yoav Wald Claudia Shi S. Saria David M. Blei OOD CML 32 7 0 19 Oct 2023
AI for Anticipatory Action: Moving Beyond Climate Forecasting Benjamin Q. Huynh M. Kiang AI4CE 30 0 0 28 Jul 2023
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 17 5 0 28 Nov 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 28 0 0 26 Jul 2022
A Review of Generalizability and Transportability Irina Degtiar Sherri Rose CML 34 210 0 23 Feb 2021
Domain Adaptation as a Problem of Inference on Graphical Models Anton van den Hengel Biwei Huang P. Stojanov Erdun Gao Qingsong Liu Clark Glymour OOD 43 64 0 09 Feb 2020