Sara Magliacane
- CITRIS: Causal Identifiability from Temporal Intervened Sequences
2022/02/07 by Phillip Lippe, Lippe, Phillip, Sara Magliacane +9 · 10 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Vision and Imaging
- Multi-View Causal Representation Learning with Partial Observability
2023/11/07 by Dingling Yao, Danru Xu, Yao, Dingling +13 · 13 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Challenges in Statistics: A Dozen Challenges in Causality and Causal Inference
2025/08/23 by Carlos Cinelli, Cinelli, Carlos, Avi Feller +9 · 7 voices · 5 citations
#stat.ME
- Active Structure Learning of Causal DAGs via Directed Clique Tree
2020/11/01 by Chandler Squires, Squires, Chandler, Sara Magliacane +8 · 5 citations
Computer Science · #Machine Learning and Algorithms #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks
- Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
2022/06/13 by Phillip Lippe, Sara Magliacane, Lippe, Phillip +9 · 5 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Sparsity Principle for Partially Observable Causal Representation Learning
2024/03/13 by Danru Xu, Dingling Yao, Xu, Danru +11 · 5 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Factored Adaptation for Non-Stationary Reinforcement Learning
2022/03/30 by Fan Feng, Biwei Huang, Feng, Fan +5 · 3 citations
Psychology · #Mental Health Research Topics
- Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
2023/07/18 by Fan Feng, Sara Magliacane, Feng, Fan +1 · 3 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- The risks of risk assessment: causal blind spots when using prediction models for treatment decisions
2024/02/27 by Nan van Geloven, van Geloven, Nan, Ruth H. Keogh +27 · 1 voice · 2 citations
Mathematics · Computer Science · Economics, Econometrics and Finance · #FOS: Computer and information sciences #Methodology (stat.ME)
- Graph Switching Dynamical Systems
2023/06/01 by Yongtuo Liu, Sara Magliacane, Liu, Yongtuo +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Epigenetics and DNA Methylation #Single-cell and spatial transcriptomics #Data Stream Mining Techniques
- SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
2025/02/11 by Mátyás Schubert, Schubert, Mátyás, Tom Claassen +3 · 1 voice · 2 citations
Computer Science · Engineering · #Bayesian Modeling and Causal Inference #Fault Detection and Control Systems #cs.AI #cs.LG #stat.ML
- Learning to Defer for Causal Discovery with Imperfect Experts
2025/02/18 by Oscar Clivio, Clivio, Oscar, Divyat Mahajan +11 · 1 citation
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Rough Sets and Fuzzy Logic