Cover Image

Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Boeken, Philip, Zoeter, Onno, Mooij, Joris M.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions
by: Boeken, Philip, et al.
Published: (2025)

Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
by: Bhadane, Sourbh, et al.
Published: (2025)

Testing Partially-Identifiable Causal Queries Using Ternary Tests
by: Bhadane, Sourbh, et al.
Published: (2026)

Foundations of Structural Causal Models with Latent Selection
by: Chen, Leihao, et al.
Published: (2024)

Dynamic Structural Causal Models
by: Boeken, Philip, et al.
Published: (2024)

Are Bayesian networks typically faithful?
by: Boeken, Philip, et al.
Published: (2024)

Complete Causal Identification from Ancestral Graphs under Selection Bias
by: Chen, Leihao, et al.
Published: (2026)

Topological Criteria for Hypothesis Testing with Finite-Precision Measurements
by: Boeken, Philip, et al.
Published: (2026)

Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support
by: Rabel, Martin, et al.
Published: (2024)

Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
by: van Seeventer, Gijs, et al.
Published: (2026)

Importance Weighting Correction of Regularized Least-Squares for Target Shift
by: Gogolashvili, Davit
Published: (2022)

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)

On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation
by: Cattaneo, Matias D., et al.
Published: (2022)

Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)

Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
by: Li, Zheng, et al.
Published: (2024)

Partial Identification of Causal Effects Using Proxy Variables
by: Ghassami, AmirEmad, et al.
Published: (2023)

Identifiability of Sparse Causal Effects using Instrumental Variables
by: Pfister, Niklas, et al.
Published: (2022)

Identifying Causal Effects Using a Single Proxy Variable
by: Vollmer, Silvan, et al.
Published: (2026)

Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
by: Agarwal, Medha, et al.
Published: (2026)

Learning Causal Response Representations through Direct Effect Analysis
by: Durand, Homer, et al.
Published: (2025)

Improved Convergence of Score-Based Diffusion Models via Prediction-Correction
by: Pedrotti, Francesco, et al.
Published: (2023)

MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
by: Pham, Phu-Hoa, et al.
Published: (2026)

Causal discovery with endogenous context variables
by: Günther, Wiebke, et al.
Published: (2024)

Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
by: Wang, Baozhen, et al.
Published: (2025)

On the Role of Surrogates in Conformal Inference of Individual Causal Effects
by: Gao, Chenyin, et al.
Published: (2024)

Policy Testing in Markov Decision Processes
by: Ariu, Kaito, et al.
Published: (2025)

The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
by: Cattaneo, Matias D., et al.
Published: (2025)

Risk-Controlled Post-Processing of Decision Policies
by: Joshi, Sunay, et al.
Published: (2026)

Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers
by: Kausik, Chinmaya, et al.
Published: (2023)

Identification and Debiased Learning of Causal Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2025)

Higher-Order Causal Structure Learning with Additive Models
by: Enouen, James, et al.
Published: (2025)

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)

A Computational Theory for Efficient Mini Agent Evaluation with Causal Guarantees
by: Yan, Hedong
Published: (2025)

$σ$-Maximal Ancestral Graphs
by: Yao, Binghua, et al.
Published: (2025)

Online Statistical Inference in Decision-Making with Matrix Context
by: Han, Qiyu, et al.
Published: (2022)

Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
by: Guan, Vincent, et al.
Published: (2024)

Orthogonal Causal Calibration
by: Whitehouse, Justin, et al.
Published: (2024)

An introduction to Causal Modelling
by: Baishya, Gauranga Kumar
Published: (2025)

Support Vector Regression: Risk Quadrangle Framework
by: Malandii, Anton, et al.
Published: (2022)

A Correction of Pseudo Log-Likelihood Method
by: Feng, Shi, et al.
Published: (2024)