Spectral Representation for Causal Estimation with Hidden Confounders
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Haotian, Moulin, Antoine, Ren, Tongzheng, Gretton, Arthur, Dai, Bo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
by: Xu, Liyuan, et al.
Published: (2021)
by: Xu, Liyuan, et al.
Published: (2021)
Kernel Single Proxy Control for Deterministic Confounding
by: Xu, Liyuan, et al.
Published: (2023)
by: Xu, Liyuan, et al.
Published: (2023)
Demystifying Spectral Feature Learning for Instrumental Variable Regression
by: Meunier, Dimitri, et al.
Published: (2025)
by: Meunier, Dimitri, et al.
Published: (2025)
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding
by: Ren, Zhaolin, et al.
Published: (2023)
by: Ren, Zhaolin, et al.
Published: (2023)
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
by: Meunier, Dimitri, et al.
Published: (2025)
by: Meunier, Dimitri, et al.
Published: (2025)
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
by: Zhang, Hongming, et al.
Published: (2023)
by: Zhang, Hongming, et al.
Published: (2023)
Interventional Processes for Causal Uncertainty Quantification
by: Dance, Hugh, et al.
Published: (2024)
by: Dance, Hugh, et al.
Published: (2024)
Spectral Representation-based Reinforcement Learning
by: Gao, Chenxiao, et al.
Published: (2025)
by: Gao, Chenxiao, et al.
Published: (2025)
Spectral Souping: A Unified Framework for Online Preference Alignment
by: Chow, Yinlam, et al.
Published: (2026)
by: Chow, Yinlam, et al.
Published: (2026)
Robust Causal Analysis of Linear Cyclic Systems With Hidden Confounders
by: Lorbeer, Boris, et al.
Published: (2024)
by: Lorbeer, Boris, et al.
Published: (2024)
Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
by: Zenati, Houssam, et al.
Published: (2025)
by: Zenati, Houssam, et al.
Published: (2025)
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders
by: Lorbeer, Boris, et al.
Published: (2024)
by: Lorbeer, Boris, et al.
Published: (2024)
Conditional Average Treatment Effect Estimation Under Hidden Confounders
by: Aloui, Ahmed, et al.
Published: (2025)
by: Aloui, Ahmed, et al.
Published: (2025)
Perturbative methods for non-parametric instrumental variable
by: Bu, Wei, et al.
Published: (2026)
by: Bu, Wei, et al.
Published: (2026)
Semiparametric Efficient Test for Interpretable Distributional Treatment Effects
by: Zenati, Houssam, et al.
Published: (2026)
by: Zenati, Houssam, et al.
Published: (2026)
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
by: Nguyen, Khai, et al.
Published: (2023)
by: Nguyen, Khai, et al.
Published: (2023)
Density Ratio-Free Doubly Robust Proxy Causal Learning
by: Bozkurt, Bariscan, et al.
Published: (2025)
by: Bozkurt, Bariscan, et al.
Published: (2025)
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
by: Meunier, Dimitri, et al.
Published: (2024)
by: Meunier, Dimitri, et al.
Published: (2024)
Density Ratio-based Proxy Causal Learning Without Density Ratios
by: Bozkurt, Bariscan, et al.
Published: (2025)
by: Bozkurt, Bariscan, et al.
Published: (2025)
Doubly Robust Proxy Causal Learning with Neural Mean Embeddings
by: Bozkurt, Bariscan, et al.
Published: (2026)
by: Bozkurt, Bariscan, et al.
Published: (2026)
Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding
by: Jamshidi, Fateme, et al.
Published: (2025)
by: Jamshidi, Fateme, et al.
Published: (2025)
A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding
by: Zhou, Chuan, et al.
Published: (2025)
by: Zhou, Chuan, et al.
Published: (2025)
Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding
by: Wu, Yufeng, et al.
Published: (2024)
by: Wu, Yufeng, et al.
Published: (2024)
Conformal Counterfactual Inference under Hidden Confounding
by: Chen, Zonghao, et al.
Published: (2024)
by: Chen, Zonghao, et al.
Published: (2024)
Confounded Budgeted Causal Bandits
by: Jamshidi, Fateme, et al.
Published: (2024)
by: Jamshidi, Fateme, et al.
Published: (2024)
Optimizing Graph Causal Classification Models: Estimating Causal Effects and Addressing Confounders
by: Job, Simi, et al.
Published: (2026)
by: Job, Simi, et al.
Published: (2026)
Regularized $f$-Divergence Kernel Tests
by: Ribero, Mónica, et al.
Published: (2026)
by: Ribero, Mónica, et al.
Published: (2026)
Identification of Causal Direction under an Arbitrary Number of Latent Confounders
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
by: Hafer, Marlies, et al.
Published: (2025)
by: Hafer, Marlies, et al.
Published: (2025)
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
by: Luo, Kang, et al.
Published: (2024)
by: Luo, Kang, et al.
Published: (2024)
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
by: Wang, Yuanyuan, et al.
Published: (2024)
by: Wang, Yuanyuan, et al.
Published: (2024)
Robust Personalized Recommendation under Hidden Confounding in MNAR
by: Li, Zongyu, et al.
Published: (2026)
by: Li, Zongyu, et al.
Published: (2026)
Kernel Treatment Effects with Adaptively Collected Data
by: Zenati, Houssam, et al.
Published: (2025)
by: Zenati, Houssam, et al.
Published: (2025)
A Unified Data Representation Learning for Non-parametric Two-sample Testing
by: Tian, Xunye, et al.
Published: (2024)
by: Tian, Xunye, et al.
Published: (2024)
Near-Optimality of Contrastive Divergence Algorithms
by: Glaser, Pierre, et al.
Published: (2025)
by: Glaser, Pierre, et al.
Published: (2025)
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
by: Xu, Hangtong, et al.
Published: (2023)
by: Xu, Hangtong, et al.
Published: (2023)
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
by: Singh, Rahul, et al.
Published: (2021)
by: Singh, Rahul, et al.
Published: (2021)
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
by: Melnychuk, Valentyn, et al.
Published: (2023)
by: Melnychuk, Valentyn, et al.
Published: (2023)
Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
by: Boileau, Philippe, et al.
Published: (2026)
by: Boileau, Philippe, et al.
Published: (2026)
Spectral Bellman Method: Unifying Representation and Exploration in RL
by: Nabati, Ofir, et al.
Published: (2025)
by: Nabati, Ofir, et al.
Published: (2025)
Similar Items
-
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
by: Xu, Liyuan, et al.
Published: (2021) -
Kernel Single Proxy Control for Deterministic Confounding
by: Xu, Liyuan, et al.
Published: (2023) -
Demystifying Spectral Feature Learning for Instrumental Variable Regression
by: Meunier, Dimitri, et al.
Published: (2025) -
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding
by: Ren, Zhaolin, et al.
Published: (2023) -
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
by: Meunier, Dimitri, et al.
Published: (2025)