Causal Machine Learning

CML

Improves model interpretability and robustness by identifying causal relationships.

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51015

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Learning Causality for Longitudinal Data Mouad EL Bouchattaoui CML BDL 113 0 0 04 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 0 0 0 02 Dec 2025
Identifying attributions of causality in political text Paulina Garcia-Corral FAtt CML 4 0 0 02 Dec 2025
Stress-Testing Causal Claims via Cardinality Repairs Yarden Gabbay Haoquan Guan Shaull Almagor El Kindi Rezig Brit Youngmann Babak Salimi CML 136 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 25 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 4 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 12 0 0 01 Dec 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 0 0 0 30 Nov 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 4 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 4 0 0 30 Nov 2025
CausalAffect: Causal Discovery for Facial Affective Understanding Guanyu Hu Tangzheng Lian Dimitrios Kollias Oya Celiktutan Xinyu Yang CVBM CML 20 0 0 29 Nov 2025
Comparing Two Proxy Methods for Causal Identification Helen Guo Elizabeth L. Ogburn Ilya Shpitser CML 8 0 0 28 Nov 2025
CRAwDAD: Causal Reasoning Augmentation with Dual-Agent Debate Finn G. Vamosi Nils D. Forkert CML ELM LRM 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 21 0 0 28 Nov 2025
A Sensitivity Approach to Causal Inference Under Limited Overlap Yuanzhe Ma Hongseok Namkoong CML 105 0 0 27 Nov 2025
On Evolution-Based Models for Experimentation Under Interference Sadegh Shirani Mohsen Bayati CML 40 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 90 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 36 0 0 26 Nov 2025
The Driver-Blindness Phenomenon: Why Deep Sequence Models Default to Autocorrelation in Blood Glucose Forecasting Heman Shakeri OOD CML 49 0 0 25 Nov 2025
Learning Subgroups with Maximum Treatment Effects without Causal Heuristics Lincen Yang Zhong Li M. Leeuwen Saber Salehkaleybar CML 46 0 0 25 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 116 0 0 25 Nov 2025
The Unified Non-Convex Framework for Robust Causal Inference: Overcoming the Gaussian Barrier and Optimization Fragility Eichi Uehara CML 52 0 0 24 Nov 2025
Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space Shivam Pal Sakshi Varshney Piyush Rai OOD OODD CML 171 0 0 24 Nov 2025
Scalable Bayesian Network Structure Learning Using Tsetlin Machine to Constrain the Search Space Kunal Dumbre Lei Jiao Ole-Christoffer Granmo CML 35 0 0 24 Nov 2025
Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis Shu Yang Margaret Gamalo Haoda Fu CML 76 0 0 24 Nov 2025
Reliable Selection of Heterogeneous Treatment Effect Estimators Jiayi Guo Zijun Gao CML 52 0 0 23 Nov 2025
On Transportability for Structural Causal Bandits Min Woo Park Sanghack Lee CML 57 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 171 0 0 20 Nov 2025
CID: Measuring Feature Importance Through Counterfactual Distributions Eddie Conti Álvaro Parafita Axel Brando FAtt CML 261 0 0 19 Nov 2025
Towards Unbiased Cross-Modal Representation Learning for Food Image-to-Recipe Retrieval Qing Wang Chong-Wah Ngo Ee-Peng Lim CML 132 0 0 19 Nov 2025
Cross-Balancing for Data-Informed Design and Efficient Analysis of Observational Studies Ying Jin José Zubizarreta CML 56 0 0 19 Nov 2025
Gini Score under Ties and Case Weights Alexej Brauer Mario V. Wüthrich CML 79 0 0 19 Nov 2025
Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion Jianqiao Mao Max A. Little CML AI4CE 178 0 0 19 Nov 2025
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects Gözde Sert Abhishek Chakrabortty Anirban Bhattacharya CML 66 0 0 19 Nov 2025
Synthetic Survival Control: Extending Synthetic Controls for "When-If" Decision Jessy Xinyi Han Devavrat Shah CML 56 0 0 18 Nov 2025
Skewness-Robust Causal Discovery in Location-Scale Noise Models Daniel Klippert Alexander Marx CML 101 0 0 18 Nov 2025
Causal Discovery on Higher-Order Interactions Alessio Zanga M. Scutari Fabio Stella CML 87 0 0 18 Nov 2025
Integrating Causal Inference with Graph Neural Networks for Alzheimer's Disease Analysis Pranay Kumar Peddi Dhrubajyoti Ghosh CML 120 0 0 18 Nov 2025
CafeMed: Causal Attention Fusion Enhanced Medication Recommendation Kelin Ren Chan-Yang Ju Dong-Ho Lee CML 123 0 0 18 Nov 2025
Causal Reinforcement Learning based Agent-Patient Interaction with Clinical Domain Knowledge Wenzheng Zhao Ran Zhang Ruth Palan Lopez Shu-Fen Wung Fengpei Yuan OffRL CML 8 0 0 17 Nov 2025
Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification Alan G. Paredes Cetina Kaouther Benguessoum Raoni Lourenço Sylvain Kubler AI4TS BDL CML 268 0 0 17 Nov 2025
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection Chaowang Lan Jingxin Wu Yulong Yuan Chuxun Liu Huangyi Kang Caihua Liu CML 40 0 0 17 Nov 2025
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference Sairam S Sara Girdhar Shivam Soni CML 92 0 0 17 Nov 2025
ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding Yuan Zhou Litao Hua Shilong Jin Wentao Huang Haoran Duan CML VGen 165 0 0 16 Nov 2025
Practical Causal Evaluation Metrics for Biological Networks Noriaki Sato Marco Scutari Shuichi Kawano Rui Yamaguchi Seiya Imoto CML 92 0 0 16 Nov 2025
KarmaTS: A Universal Simulation Platform for Multivariate Time Series with Functional Causal Dynamics Haixin Li Yanke Li Diego Paez-Granados AI4TS CML 106 0 0 14 Nov 2025
MeCaMIL: Causality-Aware Multiple Instance Learning for Fair and Interpretable Whole Slide Image Diagnosis Yiran Song Yikai Zhang Shuang Zhou Guojun Xiong Xiaofeng Yang Nian Wang Fenglong Ma Rui Zhang Mingquan Lin CML 198 0 0 14 Nov 2025
Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences Ruichu Cai Xiaokai Huang Wei Chen Zijian Li Zhifeng Hao CML 120 0 0 13 Nov 2025
Generalizing to Unseen Disaster Events: A Causal View Philipp Seeberger Steffen Freisinger Tobias Bocklet Korbinian Riedhammer CML 123 0 0 13 Nov 2025
FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD Zhenyuan Huang Hui Zhang Wenzhong Tang Haijun Yang FedML CML 335 0 0 12 Nov 2025

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