Saved in:
| Main Authors: | Babii, Andrii, Florens, Jean-Pierre |
|---|---|
| Format: | Preprint |
| Published: |
2017
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/1709.03473 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tensor PCA for Factor Models
by: Babii, Andrii, et al.
Published: (2022)
by: Babii, Andrii, et al.
Published: (2022)
Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness
by: Babii, Andrii, et al.
Published: (2020)
by: Babii, Andrii, et al.
Published: (2020)
Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024)
by: Babii, Andrii, et al.
Published: (2024)
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
by: Byambadalai, Undral, et al.
Published: (2025)
by: Byambadalai, Undral, et al.
Published: (2025)
From Cross-Validation to SURE: Asymptotic Risk of Tuned Regularized Estimators
by: Adusumilli, Karun, et al.
Published: (2026)
by: Adusumilli, Karun, et al.
Published: (2026)
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
by: Byambadalai, Undral, et al.
Published: (2024)
by: Byambadalai, Undral, et al.
Published: (2024)
Training and Testing with Multiple Splits: A Central Limit Theorem for Split-Sample Estimators
by: Fava, Bruno
Published: (2025)
by: Fava, Bruno
Published: (2025)
Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
An Adversarial Approach to Structural Estimation
by: Kaji, Tetsuya, et al.
Published: (2020)
by: Kaji, Tetsuya, et al.
Published: (2020)
Riesz Regression As Direct Density Ratio Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
A Note on Doubly Robust Estimator in Regression Discontinuity Designs
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Debiased Regression for Root-N-Consistent Conditional Mean Estimation
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Gaussian and Bootstrap Approximation for Matching-based Average Treatment Effect Estimators
by: Shi, Zhaoyang, et al.
Published: (2024)
by: Shi, Zhaoyang, et al.
Published: (2024)
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
by: Jin, Jikai, et al.
Published: (2024)
by: Jin, Jikai, et al.
Published: (2024)
Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
by: Cai, Yang, et al.
Published: (2025)
by: Cai, Yang, et al.
Published: (2025)
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)
by: Ghassami, AmirEmad, et al.
Published: (2022)
Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
by: Chihara, Naoki, et al.
Published: (2026)
by: Chihara, Naoki, et al.
Published: (2026)
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
by: Sert, Gözde, et al.
Published: (2025)
by: Sert, Gözde, et al.
Published: (2025)
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units
by: Kato, Masahiro, et al.
Published: (2025)
by: Kato, Masahiro, et al.
Published: (2025)
ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Distributionally Robust Instrumental Variables Estimation
by: Qu, Zhaonan, et al.
Published: (2024)
by: Qu, Zhaonan, et al.
Published: (2024)
Dynamic treatment effects: high-dimensional inference under model misspecification
by: Zhang, Yuqian, et al.
Published: (2021)
by: Zhang, Yuqian, et al.
Published: (2021)
Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in Structured Temporal Data
by: Rice, James
Published: (2026)
by: Rice, James
Published: (2026)
Ordinary Least Squares as an Attention Mechanism
by: Coulombe, Philippe Goulet
Published: (2025)
by: Coulombe, Philippe Goulet
Published: (2025)
Semiparametric inference for impulse response functions using double/debiased machine learning
by: Ballinari, Daniele, et al.
Published: (2024)
by: Ballinari, Daniele, et al.
Published: (2024)
Minimax Semiparametric Learning With Approximate Sparsity
by: Bradic, Jelena, et al.
Published: (2019)
by: Bradic, Jelena, et al.
Published: (2019)
Order-Explicit Linearization of High-Dimensional $U$-Statistics
by: Ritzwoller, David M., et al.
Published: (2024)
by: Ritzwoller, David M., et al.
Published: (2024)
A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates
by: Fan, Qingliang, et al.
Published: (2022)
by: Fan, Qingliang, et al.
Published: (2022)
The Condition-Number Principle for Prototype Clustering
by: Li, Romano, et al.
Published: (2026)
by: Li, Romano, et al.
Published: (2026)
Multiply Robust Causal Mediation Analysis with Continuous Treatments
by: Xu, Yizhen, et al.
Published: (2021)
by: Xu, Yizhen, et al.
Published: (2021)
Nested Nonparametric Instrumental Variable Regression
by: Meza, Isaac, et al.
Published: (2021)
by: Meza, Isaac, et al.
Published: (2021)
Canonical correlation regression with noisy data
by: Meza, Isaac, et al.
Published: (2025)
by: Meza, Isaac, et al.
Published: (2025)
Learning bounds for doubly-robust covariate shift adaptation
by: Lee, Jeonghwan, et al.
Published: (2025)
by: Lee, Jeonghwan, et al.
Published: (2025)
Similar Items
-
Tensor PCA for Factor Models
by: Babii, Andrii, et al.
Published: (2022) -
Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness
by: Babii, Andrii, et al.
Published: (2020) -
Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024) -
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
by: Byambadalai, Undral, et al.
Published: (2025) -
From Cross-Validation to SURE: Asymptotic Risk of Tuned Regularized Estimators
by: Adusumilli, Karun, et al.
Published: (2026)