v1v2 (latest)

RealCause: Realistic Causal Inference Benchmarking

30 November 2020

Papers citing "RealCause: Realistic Causal Inference Benchmarking"

34 / 34 papers shown

Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFT

...

340

21 Nov 2025

Improving Generative Methods for Causal Evaluation via Simulation-Based Inference

Pracheta Amaranath

Vinitra Muralikrishnan

Amit Sharma

David D. Jensen

CML

116

02 Sep 2025

ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods

31 Aug 2025

Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption

Audrey Poinsot

Panayiotis Panayiotou

129

12 Aug 2025

Frugal, Flexible, Faithful: Causal Data Simulation via Frengression

148

01 Aug 2025

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

194

09 Jun 2025

Do-PFN: In-Context Learning for Causal Effect Estimation

Katharina Eggensperger

Bernhard Schölkopf

CML

422

06 Jun 2025

SimBank: from Simulation to Solution in Prescriptive Process Monitoring

233

28 Mar 2025

CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-seriesInternational Conference on Learning Representations (ICLR), 2025

286

21 Mar 2025

Marginal Causal Flows for Validation and InferenceNeural Information Processing Systems (NeurIPS), 2024

Daniel de Vassimon Manela

Laura Battaglia

Robin J. Evans

CML

303

02 Nov 2024

DAG-aware Transformer for Causal Effect Estimation

248

13 Oct 2024

Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation

Lucile Ter-Minassian

Liran Szlak

Ehud Karavani

Chris Holmes

Y. Shimoni

128

31 Jan 2024

SpaCE: The Spatial Confounding EnvironmentInternational Conference on Learning Representations (ICLR), 2023

314

01 Dec 2023

Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test DataNeural Information Processing Systems (NeurIPS), 2023

211

25 Oct 2023

Towards Causal Foundation Model: on Duality between Causal Inference and Attention

Chao Ma

347

01 Oct 2023

RCT Rejection Sampling for Causal Estimation Evaluation

322

27 Jul 2023

Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach

Mahmoud Shoush

Marlon Dumas

258

13 Jul 2023

Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation

Stefan Bauer

324

11 Jul 2023

Timing Process Interventions with Causal Inference and Reinforcement Learning

285

07 Jun 2023

Counterfactual Generative Models for Time-Varying TreatmentsKnowledge Discovery and Data Mining (KDD), 2023

509

25 May 2023

Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement LearningInternational Conference on Advanced Information Systems Engineering (CAiSE), 2023

102

07 Mar 2023

The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation

231

02 Mar 2023

CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data

Yusuf Roohani

282

31 Oct 2022

Membership Inference Attacks and Generalization: A Causal PerspectiveConference on Computer and Communications Security (CCS), 2022

248

18 Sep 2022

Quantitative probing: Validating causal models using quantitative domain knowledgeJournal of Causal Inference (JCI), 2022

Daniel Grünbaum

M. L. Stern

E. Lang

194

07 Sep 2022

Undersmoothing Causal Estimators with Generative TreesIEEE Access (IEEE Access), 2022

290

16 Mar 2022

Validating Causal Inference MethodsInternational Conference on Machine Learning (ICML), 2022

489

09 Feb 2022

ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects

N. M. Kinyanjui

Fredrik D. Johansson

CML

153

12 Nov 2021

A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients

...

Niels C. Gritters van den Oever

Paul Elbers

Giovanni Cina

CML

116

14 Sep 2021

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions

209

27 Aug 2021

Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators

Alicia Curth

M. Schaar

CML

126

28 Jul 2021

Causal Effect Inference for Structured TreatmentsNeural Information Processing Systems (NeurIPS), 2021

486

03 Jun 2021

Generating Synthetic Text Data to Evaluate Causal Inference Methods

194

10 Feb 2021

Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition

754

316

09 Jul 2017