Causal Machine Learning

CML

Improves model interpretability and robustness by identifying causal relationships.

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51015

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Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis Nicholas Tagliapietra Katharina Ensinger Christoph Zimmer Osman Mian CML 0 0 0 16 Dec 2025
On the Hardness of Conditional Independence Testing In Practice Zheng He Roman Pogodin Yazhe Li Namrata Deka Arthur Gretton Danica J. Sutherland CML 4 0 0 16 Dec 2025
CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images Bo Liu Qiao Qin Qinghui He CML VLM 64 0 0 15 Dec 2025
Policy-Aligned Estimation of Conditional Average Treatment Effects Artem Timoshenko Caio Waisman CML 96 0 0 15 Dec 2025
Causal inference and model explainability tools for retail Pranav Gupta Nithin Surendran CML 0 0 0 14 Dec 2025
Compressed Causal Reasoning: Quantization and GraphRAG Effects on Interventional and Counterfactual Accuracy Steve Nwaiwu Nipat Jongsawat Anucha Tungkasthan CML MQ 72 0 0 13 Dec 2025
Latent Variable Causal Discovery under Selection BiasInternational Conference on Machine Learning (ICML), 2025 Haoyue Dai Yiwen Qiu Ignavier Ng Xinshuai Dong Peter Spirtes Kun Zhang CML 10 0 0 12 Dec 2025
A fine-grained look at causal effects in causal spaces Junhyung Park Yuqing Zhou CML 72 0 0 11 Dec 2025
Causal Reasoning Favors Encoders: On The Limits of Decoder-Only Models Amartya Roy Elamparithy M Kripabandhu Ghosh Ponnurangam Kumaraguru Adrian de Wynter CML LRM 45 0 0 11 Dec 2025
Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality Lingjing Kong Shaoan Xie Guangyi Chen Yuewen Sun Xiangchen Song Eric P. Xing Kun Zhang CML 28 0 0 11 Dec 2025
Causal Judge Evaluation: Calibrated Surrogate Metrics for LLM Systems Eddie Landesberg ELM CML 80 0 0 11 Dec 2025
Cluster-Dags as Powerful Background Knowledge For Causal Discovery Jan Marco Ruiz de Vargas Kirtan Padh Niki Kilbertus CML 93 0 0 10 Dec 2025
Empowerment Gain and Causal Model Construction: Children and adults are sensitive to controllability and variability in their causal interventions Eunice Yiu Kelsey Allen Shiry Ginosar Alison Gopnik CML 124 0 0 09 Dec 2025
Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts Pedro M. Gordaliza Nataliia Molchanova Jaume Banus Thomas Sanchez Meritxell Bach Cuadra OOD CML 100 0 0 09 Dec 2025
Non-negative DAG Learning from Time-Series Data Samuel Rey Gonzalo Mateos CML 38 0 0 08 Dec 2025
Machine learning in an expectation-maximisation framework for nowcasting Paul Wilsens Katrien Antonio Gerda Claeskens CML 16 0 0 08 Dec 2025
Learning Conditional Independence Differential Graphs From Time-Dependent Data Jitendra K Tugnait CML 140 0 0 07 Dec 2025
Text Rationalization for Robust Causal Effect Estimation Lijinghua Zhang Hengrui Cai CML 160 0 0 05 Dec 2025
Learning Causality for Longitudinal Data Mouad EL Bouchattaoui CML BDL 177 0 0 04 Dec 2025
Amortized Causal Discovery with Prior-Fitted Networks Mateusz Sypniewski Mateusz Olko Mateusz Gajewski Piotr Miłoś CML BDL 4 0 0 03 Dec 2025
CR3G: Causal Reasoning for Patient-Centric Explanations in Radiology Report Generation Satyam Kumar CML MedIm 0 0 0 03 Dec 2025
Stress-Testing Causal Claims via Cardinality Repairs Yarden Gabbay Haoquan Guan Shaull Almagor El Kindi Rezig Brit Youngmann Babak Salimi CML 184 0 0 02 Dec 2025
The BEAT-CF Causal Model: A model for guiding the design of trials and observational analyses of cystic fibrosis exacerbations Steven Mascaro Owen Woodberry Charlie McLeod Mitch Messer Hiran Selvadurai Yue Wu Andre Schultz Thomas L Snelling CML 40 0 0 02 Dec 2025
Identifying attributions of causality in political text Paulina Garcia-Corral FAtt CML 35 0 0 02 Dec 2025
CauSight: Learning to Supersense for Visual Causal Discovery Yize Zhang Meiqi Chen Sirui Chen Bo Peng Yanxi Zhang Tianyu Li Chaochao Lu CML ReLM LRM 85 0 0 01 Dec 2025
Mitigating Gender Bias in Depression Detection via Counterfactual Inference Mingxuan Hu Hongbo Ma Xinlan Wu Ziqi Liu Jiaqi Liu Yangbin Chen CML 43 0 0 01 Dec 2025
A Self-explainable Model of Long Time Series by Extracting Informative Structured Causal Patterns Ziqian Wang Yuxiao Cheng Jinli Suo AI4TS CML BDL 60 0 0 01 Dec 2025
ARCADIA: Scalable Causal Discovery for Corporate Bankruptcy Analysis Using Agentic AI Fabrizio Maturo Donato Riccio Andrea Mazzitelli Giuseppe Bifulco Francesco Paolone Iulia Brezeanu CML 64 0 0 30 Nov 2025
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Dimitri Meunier Jakub Wornbard Vladimir R. Kostic Antoine Moulin Alek Fröhlich Karim Lounici Massimiliano Pontil Arthur Gretton CML 24 0 0 30 Nov 2025
Integrating Causal Foundation Model in Prescriptive Maintenance Framework for Optimizing Production Line OEE Felix Saretzky Lucas Andersen Thomas Engel Fazel Ansari CML 40 0 0 30 Nov 2025
CausalAffect: Causal Discovery for Facial Affective Understanding Guanyu Hu Tangzheng Lian Dimitrios Kollias Oya Celiktutan Xinyu Yang CVBM CML 76 0 0 29 Nov 2025
Comparing Two Proxy Methods for Causal Identification Helen Guo Elizabeth L. Ogburn Ilya Shpitser CML 40 0 0 28 Nov 2025
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning Panayiotis Panayiotou Audrey Poinsot Alessandro Leite Nicolas Chesneau Marc Schoenauer Özgür Şimşek CML ELM 77 0 0 28 Nov 2025
CRAwDAD: Causal Reasoning Augmentation with Dual-Agent Debate Finn G. Vamosi Nils D. Forkert CML ELM LRM 100 0 0 28 Nov 2025
A Sensitivity Approach to Causal Inference Under Limited Overlap Yuanzhe Ma Hongseok Namkoong CML 173 0 0 27 Nov 2025
On Evolution-Based Models for Experimentation Under Interference Sadegh Shirani Mohsen Bayati CML 60 0 0 26 Nov 2025
CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow Ruisheng Han Kanglei Zhou Shuang Chen Amir Atapour-Abarghouei Hubert P. H. Shum CML 84 0 0 26 Nov 2025
Bridging the Unavoidable A Priori: A Framework for Comparative Causal Modeling Peter S. Hovmand Kari O'Donnell Callie Ogland-Hand Brian Biroscak Douglas D. Gunzler CML 98 0 0 26 Nov 2025
A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap Jing Pan Li Shi Paul Lo CML 212 0 0 25 Nov 2025
Learning Subgroups with Maximum Treatment Effects without Causal Heuristics Lincen Yang Zhong Li M. Leeuwen Saber Salehkaleybar CML 90 0 0 25 Nov 2025
The Driver-Blindness Phenomenon: Why Deep Sequence Models Default to Autocorrelation in Blood Glucose Forecasting Heman Shakeri OOD CML 109 0 0 25 Nov 2025
Scalable Bayesian Network Structure Learning Using Tsetlin Machine to Constrain the Search Space Kunal Dumbre Lei Jiao Ole-Christoffer Granmo CML 71 0 0 24 Nov 2025
Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis Shu Yang Margaret Gamalo Haoda Fu CML 120 0 0 24 Nov 2025
The Unified Non-Convex Framework for Robust Causal Inference: Overcoming the Gaussian Barrier and Optimization Fragility Eichi Uehara CML 92 0 0 24 Nov 2025
Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space Shivam Pal Sakshi Varshney Piyush Rai OOD OODD CML 252 0 0 24 Nov 2025
Reliable Selection of Heterogeneous Treatment Effect Estimators Jiayi Guo Zijun Gao CML 100 0 0 23 Nov 2025
On Transportability for Structural Causal Bandits Min Woo Park Sanghack Lee CML 97 0 0 22 Nov 2025
Synergizing Deconfounding and Temporal Generalization For Time-series Counterfactual Outcome Estimation Yiling Liu Juncheng Dong Chen Fu Wei Shi Ziyang Jiang Zhigang Hua David Carlson CML 207 0 0 20 Nov 2025
Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion Jianqiao Mao Max A. Little CML AI4CE 234 0 0 19 Nov 2025
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects Gözde Sert Abhishek Chakrabortty Anirban Bhattacharya CML 102 0 0 19 Nov 2025

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