Saved in:
| Main Authors: | Jalaldoust, Kasra, Bellot, Alexis, Bareinboim, Elias |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.23605 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Abduction-Deduction Entanglement: Domain Generalization via Representation Transplants
by: Jalaldoust, Kasra, et al.
Published: (2026)
by: Jalaldoust, Kasra, et al.
Published: (2026)
Multi-Domain Causal Discovery in Bijective Causal Models
by: Jalaldoust, Kasra, et al.
Published: (2025)
by: Jalaldoust, Kasra, et al.
Published: (2025)
Partial Identification Approach to Counterfactual Fairness Assessment
by: Rho, Saeyoung, et al.
Published: (2025)
by: Rho, Saeyoung, et al.
Published: (2025)
Fairness-Accuracy Trade-Offs: A Causal Perspective
by: Plecko, Drago, et al.
Published: (2024)
by: Plecko, Drago, et al.
Published: (2024)
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
by: Plecko, Drago, et al.
Published: (2024)
by: Plecko, Drago, et al.
Published: (2024)
Neural Causal Abstractions
by: Xia, Kevin, et al.
Published: (2024)
by: Xia, Kevin, et al.
Published: (2024)
Less Greedy Equivalence Search
by: Ejaz, Adiba, et al.
Published: (2025)
by: Ejaz, Adiba, et al.
Published: (2025)
Automatic Reward Shaping from Confounded Offline Data
by: Li, Mingxuan, et al.
Published: (2025)
by: Li, Mingxuan, et al.
Published: (2025)
From Black-box to Causal-box: Towards Building More Interpretable Models
by: Hwang, Inwoo, et al.
Published: (2025)
by: Hwang, Inwoo, et al.
Published: (2025)
Causally Aligned Curriculum Learning
by: Li, Mingxuan, et al.
Published: (2025)
by: Li, Mingxuan, et al.
Published: (2025)
Causal Algorithmic Recourse: Foundations and Methods
by: Plecko, Drago, et al.
Published: (2026)
by: Plecko, Drago, et al.
Published: (2026)
Confounding Robust Continuous Control via Automatic Reward Shaping
by: Juliani, Mateo, et al.
Published: (2026)
by: Juliani, Mateo, et al.
Published: (2026)
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)
by: Li, Mingxuan, et al.
Published: (2026)
Counterfactual Realizability
by: Raghavan, Arvind, et al.
Published: (2025)
by: Raghavan, Arvind, et al.
Published: (2025)
Causal Identification from Counterfactual Data: Completeness and Bounding Results
by: Raghavan, Arvind, et al.
Published: (2026)
by: Raghavan, Arvind, et al.
Published: (2026)
The Limits of Predicting Agents from Behaviour
by: Bellot, Alexis, et al.
Published: (2025)
by: Bellot, Alexis, et al.
Published: (2025)
General agents contain world models
by: Richens, Jonathan, et al.
Published: (2025)
by: Richens, Jonathan, et al.
Published: (2025)
Confounder Detection via Treatment Intent: A New Observational Study Design
by: Plecko, Drago, et al.
Published: (2026)
by: Plecko, Drago, et al.
Published: (2026)
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
by: Jeong, Hyunchai, et al.
Published: (2024)
by: Jeong, Hyunchai, et al.
Published: (2024)
Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
by: Plecko, Drago, et al.
Published: (2025)
by: Plecko, Drago, et al.
Published: (2025)
ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact
by: Farahmandazad, Dorsa, et al.
Published: (2025)
by: Farahmandazad, Dorsa, et al.
Published: (2025)
Evaluating the Goal-Directedness of Large Language Models
by: Everitt, Tom, et al.
Published: (2025)
by: Everitt, Tom, et al.
Published: (2025)
Bi-level Unbalanced Optimal Transport for Partial Domain Adaptation
by: Chen, Zi-Ying, et al.
Published: (2025)
by: Chen, Zi-Ying, et al.
Published: (2025)
Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges
by: Borazjani, Kasra, et al.
Published: (2025)
by: Borazjani, Kasra, et al.
Published: (2025)
Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories
by: Mirkhani, Hamidreza, et al.
Published: (2024)
by: Mirkhani, Hamidreza, et al.
Published: (2024)
Towards Bounding Causal Effects under Markov Equivalence
by: Bellot, Alexis
Published: (2023)
by: Bellot, Alexis
Published: (2023)
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation
by: Habib, Mohammad Kasra, et al.
Published: (2025)
by: Habib, Mohammad Kasra, et al.
Published: (2025)
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
by: Plecko, Drago, et al.
Published: (2025)
by: Plecko, Drago, et al.
Published: (2025)
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
by: Borazjani, Kasra, et al.
Published: (2024)
by: Borazjani, Kasra, et al.
Published: (2024)
Causal Abstraction Inference under Lossy Representations
by: Xia, Kevin, et al.
Published: (2025)
by: Xia, Kevin, et al.
Published: (2025)
Partial Domain Adaptation via Importance Sampling-based Shift Correction
by: Guo, Cheng-Jun, et al.
Published: (2025)
by: Guo, Cheng-Jun, et al.
Published: (2025)
Adversarial Latent-State Training for Robust Policies in Partially Observable Domains
by: Ahuja, Angad Singh
Published: (2026)
by: Ahuja, Angad Singh
Published: (2026)
Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains
by: Tao, Ruo Yu, et al.
Published: (2025)
by: Tao, Ruo Yu, et al.
Published: (2025)
Towards a Foundation Model for Partial Differential Equations Across Physics Domains
by: Soares, Eduardo, et al.
Published: (2025)
by: Soares, Eduardo, et al.
Published: (2025)
Collaborative Multi-source Domain Adaptation Through Optimal Transport
by: Ghannou, Omar, et al.
Published: (2024)
by: Ghannou, Omar, et al.
Published: (2024)
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)
Cross-Domain Imitation Learning via Optimal Transport
by: Fickinger, Arnaud, et al.
Published: (2021)
by: Fickinger, Arnaud, et al.
Published: (2021)
Complex QA and language models hybrid architectures, Survey
by: Daull, Xavier, et al.
Published: (2023)
by: Daull, Xavier, et al.
Published: (2023)
Confounding Robust Deep Reinforcement Learning: A Causal Approach
by: Li, Mingxuan, et al.
Published: (2025)
by: Li, Mingxuan, et al.
Published: (2025)
Continuous Domain Generalization
by: Cai, Zekun, et al.
Published: (2025)
by: Cai, Zekun, et al.
Published: (2025)
Similar Items
-
Abduction-Deduction Entanglement: Domain Generalization via Representation Transplants
by: Jalaldoust, Kasra, et al.
Published: (2026) -
Multi-Domain Causal Discovery in Bijective Causal Models
by: Jalaldoust, Kasra, et al.
Published: (2025) -
Partial Identification Approach to Counterfactual Fairness Assessment
by: Rho, Saeyoung, et al.
Published: (2025) -
Fairness-Accuracy Trade-Offs: A Causal Perspective
by: Plecko, Drago, et al.
Published: (2024) -
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
by: Plecko, Drago, et al.
Published: (2024)