CLeaR

Other ML

243 papers · 2022–2026

CLeaR (Causal Learning and Reasoning) focuses on causal inference and its connections to machine learning.

Papers per year

'25

Top authors

Bernhard Schölkopf 6 papers

Sander Beckers 5 papers

Mathias Drton 5 papers

Jakob Runge 5 papers

Negar Kiyavash 5 papers

Francesco Locatello 5 papers

Chandler Squires 5 papers

Kun Zhang 4 papers

Dominik Janzing 4 papers

Joris Mooij 4 papers

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their counts at this venue are combined. How identity is handled.

Newest papers

Differentiable Causal Search 2026

Information-Theoretic Causal Bounds under Unmeasured Confounding 2026

Causal and Active Learning-Based Counterfactual Chest X-ray Generation for Supporting Clinical Decision-Making in Lung Disease 2026

Proxy-Guided Measurement Calibration 2026

Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift 2026

Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions 2026

Bayesian Causal Discovery Networks for Linear Mixed Data 2026

Intervening to learn and compose causally disentangled representations 2026

Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem 2026

Causal Discovery for Efficient Offline RL with Factored Action Spaces 2026

Estimation and Inference for Causal Explainability 2026

Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding 2026

Coarsening Causal DAG Models 2026

IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery 2026

Beware of Hinges in Proximal Variables Regression: Adjusting for Colliding-Mediators with Nuisance PV 2026

Domain Faithfulness through Counterfactually Robust Learning 2026

The Generalised Kernel Covariance Measure 2026

Nonparametric Greedy Equivalence Search with Prior-Fitted Networks 2026

Causal Foundations of Collective Agency 2026

Information-theoretic signatures of causality in Bayesian networks and hypergraphs 2026

All CLeaR 2026 papers →