Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Wenxin, Pan, Weishen, Gan, Kyra, Wang, Fei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
by: Chen, Wenxin, et al.
Published: (2026)
by: Chen, Wenxin, et al.
Published: (2026)
MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability
by: Chen, Wenxin, et al.
Published: (2025)
by: Chen, Wenxin, et al.
Published: (2025)
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
by: Maasch, Jacqueline, et al.
Published: (2023)
by: Maasch, Jacqueline, et al.
Published: (2023)
Integrating Causal DAGs in Deep RL: Activating Minimal Markovian States with Multi-Order Exposure
by: Xu, Jiamin, et al.
Published: (2026)
by: Xu, Jiamin, et al.
Published: (2026)
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications
by: Li, Haoyang, et al.
Published: (2025)
by: Li, Haoyang, et al.
Published: (2025)
Local Causal Discovery for Structural Evidence of Direct Discrimination
by: Maasch, Jacqueline, et al.
Published: (2024)
by: Maasch, Jacqueline, et al.
Published: (2024)
LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery
by: Hiremath, Sujai, et al.
Published: (2024)
by: Hiremath, Sujai, et al.
Published: (2024)
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
by: Meier, Dominik, et al.
Published: (2025)
by: Meier, Dominik, et al.
Published: (2025)
Fast Non-Episodic Finite-Horizon RL with K-Step Lookahead Thresholding
by: Xu, Jiamin, et al.
Published: (2026)
by: Xu, Jiamin, et al.
Published: (2026)
Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities
by: Arriola, Marianne, et al.
Published: (2024)
by: Arriola, Marianne, et al.
Published: (2024)
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
by: Cho, Brian, et al.
Published: (2023)
by: Cho, Brian, et al.
Published: (2023)
Efficient Imputation for Patch-based Missing Single-cell Data via Cluster-regularized Optimal Transport
by: Liu, Yuyu, et al.
Published: (2026)
by: Liu, Yuyu, et al.
Published: (2026)
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
by: Cho, Brian, et al.
Published: (2024)
by: Cho, Brian, et al.
Published: (2024)
Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models
by: Hiremath, Sujai, et al.
Published: (2024)
by: Hiremath, Sujai, et al.
Published: (2024)
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
by: Cho, Brian, et al.
Published: (2024)
by: Cho, Brian, et al.
Published: (2024)
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
by: Rajendran, Suraj, et al.
Published: (2023)
by: Rajendran, Suraj, et al.
Published: (2023)
Dynamic Causal Structure Discovery and Causal Effect Estimation
by: Wang, Jianian, et al.
Published: (2025)
by: Wang, Jianian, et al.
Published: (2025)
Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces
by: Yu, Shixing, et al.
Published: (2026)
by: Yu, Shixing, et al.
Published: (2026)
CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies
by: Cho, Brian M, et al.
Published: (2024)
by: Cho, Brian M, et al.
Published: (2024)
Local Causal Discovery for Estimating Causal Effects
by: Gupta, Shantanu, et al.
Published: (2023)
by: Gupta, Shantanu, et al.
Published: (2023)
Causal Multi-Label Feature Selection in Federated Setting
by: Song, Yukun, et al.
Published: (2024)
by: Song, Yukun, et al.
Published: (2024)
From Guess2Graph: When and How Can Unreliable Experts Safely Boost Causal Discovery in Finite Samples?
by: Hiremath, Sujai, et al.
Published: (2025)
by: Hiremath, Sujai, et al.
Published: (2025)
Contextual Bandits with Budgeted Information Reveal
by: Gan, Kyra, et al.
Published: (2023)
by: Gan, Kyra, et al.
Published: (2023)
Online Uniform Sampling: Randomized Learning-Augmented Approximation Algorithms with Application to Digital Health
by: Liu, Xueqing, et al.
Published: (2024)
by: Liu, Xueqing, et al.
Published: (2024)
Policy Optimization with Smooth Guidance Learned from State-Only Demonstrations
by: Wang, Guojian, et al.
Published: (2023)
by: Wang, Guojian, et al.
Published: (2023)
From Restless to Contextual: A Thresholding Bandit Reformulation For Finite-horizon Improvement
by: Xu, Jiamin, et al.
Published: (2025)
by: Xu, Jiamin, et al.
Published: (2025)
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
by: Balazadeh, Vahid, et al.
Published: (2025)
by: Balazadeh, Vahid, et al.
Published: (2025)
Estimating Aleatoric Uncertainty in the Causal Treatment Effect
by: Xu, Liyuan, et al.
Published: (2026)
by: Xu, Liyuan, et al.
Published: (2026)
DAG-aware Transformer for Causal Effect Estimation
by: Liu, Manqing, et al.
Published: (2024)
by: Liu, Manqing, et al.
Published: (2024)
Estimating the Causal Effects of T Cell Receptors
by: Weinstein, Eli N., et al.
Published: (2024)
by: Weinstein, Eli N., et al.
Published: (2024)
Estimating Causal Effects from Learned Causal Networks
by: Raichev, Anna, et al.
Published: (2024)
by: Raichev, Anna, et al.
Published: (2024)
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
by: Nagalapatti, Lokesh, et al.
Published: (2024)
by: Nagalapatti, Lokesh, et al.
Published: (2024)
Learning Causality for Longitudinal Data
by: Bouchattaoui, Mouad EL
Published: (2025)
by: Bouchattaoui, Mouad EL
Published: (2025)
Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery
by: Wang, Zilong, et al.
Published: (2025)
by: Wang, Zilong, et al.
Published: (2025)
Cross-Treatment Effect Estimation for Multi-Category, Multi-Valued Causal Inference via Dynamic Neural Masking
by: Ke, Xiaopeng, et al.
Published: (2025)
by: Ke, Xiaopeng, et al.
Published: (2025)
Clustering by Denoising: Latent plug-and-play diffusion for single-cell data
by: Meier, Dominik, et al.
Published: (2025)
by: Meier, Dominik, et al.
Published: (2025)
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
by: Zhang, Zhaoyang, et al.
Published: (2024)
by: Zhang, Zhaoyang, et al.
Published: (2024)
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation
by: Wen, Hechuan, et al.
Published: (2024)
by: Wen, Hechuan, et al.
Published: (2024)
The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects
by: Fernández-Loría, Carlos, et al.
Published: (2025)
by: Fernández-Loría, Carlos, et al.
Published: (2025)
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)
Similar Items
-
Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
by: Chen, Wenxin, et al.
Published: (2026) -
MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability
by: Chen, Wenxin, et al.
Published: (2025) -
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
by: Maasch, Jacqueline, et al.
Published: (2023) -
Integrating Causal DAGs in Deep RL: Activating Minimal Markovian States with Multi-Order Exposure
by: Xu, Jiamin, et al.
Published: (2026) -
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications
by: Li, Haoyang, et al.
Published: (2025)