On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
Fuente:
arXiv
Saved in:
| Main Authors: | Kallus, Nathan, Mao, Xiaojie |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Contextual Linear Optimization with Partial Feedback
by: Hu, Yichun, et al.
Published: (2024)
by: Hu, Yichun, et al.
Published: (2024)
Long-term Causal Inference Under Persistent Confounding via Data Combination
by: Imbens, Guido, et al.
Published: (2022)
by: Imbens, Guido, et al.
Published: (2022)
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
by: Oprescu, Miruna, et al.
Published: (2024)
by: Oprescu, Miruna, et al.
Published: (2024)
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
by: Kallus, Nathan, et al.
Published: (2022)
by: Kallus, Nathan, et al.
Published: (2022)
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)
Efficient Adaptive Experimentation with Noncompliance
by: Oprescu, Miruna, et al.
Published: (2025)
by: Oprescu, Miruna, et al.
Published: (2025)
Simulation-Based Inference for Adaptive Experiments
by: Cho, Brian M, et al.
Published: (2025)
by: Cho, Brian M, et al.
Published: (2025)
GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function
by: Cho, Brian M, et al.
Published: (2026)
by: Cho, Brian M, et al.
Published: (2026)
Demistifying Inference after Adaptive Experiments
by: Bibaut, Aurélien, et al.
Published: (2024)
by: Bibaut, Aurélien, et al.
Published: (2024)
Exploration in the Limit
by: Cho, Brian M., et al.
Published: (2025)
by: Cho, Brian M., et al.
Published: (2025)
Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework
by: Schröder, Maresa, et al.
Published: (2026)
by: Schröder, Maresa, 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)
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022)
by: Bibaut, Aurelien, et al.
Published: (2022)
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
by: Karlsson, Rickard, et al.
Published: (2025)
by: Karlsson, Rickard, et al.
Published: (2025)
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
by: Oprescu, Miruna, et al.
Published: (2025)
by: Oprescu, Miruna, et al.
Published: (2025)
Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Applied Causal Inference Powered by ML and AI
by: Chernozhukov, Victor, et al.
Published: (2024)
by: Chernozhukov, Victor, et al.
Published: (2024)
Dimension-reduced outcome-weighted learning for estimating individualized treatment regimes in observational studies
by: Son, Sungtaek, et al.
Published: (2026)
by: Son, Sungtaek, et al.
Published: (2026)
Online Joint Assortment-Inventory Optimization under MNL Choices
by: Liang, Yong, et al.
Published: (2023)
by: Liang, Yong, et al.
Published: (2023)
Non-parametric efficient estimation of marginal structural models with multi-valued time-varying treatments
by: Martin, Axel, et al.
Published: (2024)
by: Martin, Axel, et al.
Published: (2024)
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
Estimating heterogeneous treatment effects with survival outcomes via a deep survival learner
by: Sun, Yuming, et al.
Published: (2026)
by: Sun, Yuming, et al.
Published: (2026)
Uncertainty-aware multi-fidelity surrogate modeling with noisy data
by: Giannoukou, Katerina, et al.
Published: (2024)
by: Giannoukou, Katerina, et al.
Published: (2024)
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)
Efficient Inference after Directionally Stable Adaptive Experiments
by: Shen, Zikai, et al.
Published: (2026)
by: Shen, Zikai, et al.
Published: (2026)
Rate doubly robust estimation for weighted average treatment effects
by: Wang, Yiming, et al.
Published: (2025)
by: Wang, Yiming, et al.
Published: (2025)
Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions
by: Shen, Zikai, et al.
Published: (2026)
by: Shen, Zikai, et al.
Published: (2026)
IGC-Net for conditional average potential outcome estimation over time
by: Hess, Konstantin, et al.
Published: (2024)
by: Hess, Konstantin, et al.
Published: (2024)
Characterising harmful data sources when constructing multi-fidelity surrogate models
by: Andrés-Thió, Nicolau, et al.
Published: (2024)
by: Andrés-Thió, Nicolau, et al.
Published: (2024)
Inference with non-differentiable surrogate loss in a general high-dimensional classification framework
by: Liang, Muxuan, et al.
Published: (2024)
by: Liang, Muxuan, et al.
Published: (2024)
Using Platt's scaling for calibration after undersampling -- limitations and how to address them
by: Phelps, Nathan, et al.
Published: (2024)
by: Phelps, Nathan, et al.
Published: (2024)
Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Optimal estimators of cross-partial derivatives and surrogates of functions
by: Lamboni, Matieyendou
Published: (2024)
by: Lamboni, Matieyendou
Published: (2024)
Minimum Wasserstein distance estimator under covariate shift: closed-form, super-efficiency and irregularity
by: Lang, Junjun, et al.
Published: (2026)
by: Lang, Junjun, et al.
Published: (2026)
Learning treatment effects while treating those in need
by: Wilder, Bryan, et al.
Published: (2024)
by: Wilder, Bryan, et al.
Published: (2024)
Detecting critical treatment effect bias in small subgroups
by: De Bartolomeis, Piersilvio, et al.
Published: (2024)
by: De Bartolomeis, Piersilvio, et al.
Published: (2024)
Density estimation with atoms, and functional estimation for mixed discrete-continuous data
by: Saha, Aytijhya, et al.
Published: (2025)
by: Saha, Aytijhya, et al.
Published: (2025)
Estimation of conditional average treatment effects on distributed confidential data
by: Kawamata, Yuji, et al.
Published: (2024)
by: Kawamata, Yuji, et al.
Published: (2024)
Similar Items
-
Contextual Linear Optimization with Partial Feedback
by: Hu, Yichun, et al.
Published: (2024) -
Long-term Causal Inference Under Persistent Confounding via Data Combination
by: Imbens, Guido, et al.
Published: (2022) -
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
by: Oprescu, Miruna, et al.
Published: (2024) -
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
by: Kallus, Nathan, et al.
Published: (2022) -
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
by: Cho, Brian, et al.
Published: (2024)