Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- 2023
- NeurIPS 2023
Conference paper
Publications
99 results for Causality
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Kristjan Greenewald
- et al.
- 2023
- NeurIPS 2023
PosterCausal Markov Blanket Representation Learning for Out-of-distribution Generalization
- Naiyu Yin
- Hanjing Wang
- et al.
- 2023
- NeurIPS 2023
Workshop paperExtracting Insights from Cities with Graph Neural Networks
- 2023
- INFORMS 2023
TalkProbabilistic Rule Induction from Event Sequences with Logical Summary Markov Models
- Debarun Bhattacharjya
- Oktie Hassanzadeh
- et al.
- 2023
- IJCAI 2023
Conference paperGraphical modeling for dynamic safety hints generalisation for Safe Deep Reinforcement Learning Agents
- 2023
- IJCAI 2023
Workshop paperModel-free Causal Reinforcement Learning with Causal Diagrams
- Junkyu Lee
- Tian Gao
- et al.
- 2023
- IJCAI 2023
Workshop paperWhy are my Pizzas late?
- Dirk Fahland
- Fabiana Fournier
- et al.
- 2023
- IJCAI 2023
Workshop paperGenerative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- Tsuyoshi Idé
- Naoki Abe
- 2023
- KDD 2023
Conference paperCan We Evaluate Causal Structures Using Graph Neural Networks?
- Abi Langbridge
- Fearghal O'Donncha
- et al.
- 2023
- UAI 2023
Workshop