Minimax Semiparametric Learning With Approximate Sparsity
Fuente:
arXiv
Saved in:
| Main Authors: | Bradic, Jelena, Chernozhukov, Victor, Newey, Whitney K., Zhu, Yinchu |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conditional Influence Functions
by: Chernozhukov, Victor, et al.
Published: (2024)
by: Chernozhukov, Victor, et al.
Published: (2024)
Dynamic covariate balancing: estimating treatment effects over time with potential local projections
by: Viviano, Davide, et al.
Published: (2021)
by: Viviano, Davide, et al.
Published: (2021)
Welfare Analysis in Dynamic Models
by: Chernozhukov, Victor, et al.
Published: (2019)
by: Chernozhukov, Victor, et al.
Published: (2019)
Dynamic treatment effects: high-dimensional inference under model misspecification
by: Zhang, Yuqian, et al.
Published: (2021)
by: Zhang, Yuqian, et al.
Published: (2021)
Adversarial Estimation of Riesz Representers
by: Chernozhukov, Victor, et al.
Published: (2020)
by: Chernozhukov, Victor, et al.
Published: (2020)
New possibilities in identification of binary choice models with fixed effects
by: Zhu, Yinchu
Published: (2022)
by: Zhu, Yinchu
Published: (2022)
Automatic Doubly Robust Forests
by: Chen, Zhaomeng, et al.
Published: (2024)
by: Chen, Zhaomeng, et al.
Published: (2024)
Higher-Order Neyman Orthogonality in Moment-Condition Models
by: Bonhomme, Stéphane, et al.
Published: (2026)
by: Bonhomme, Stéphane, et al.
Published: (2026)
Long Story Short: Omitted Variable Bias in Causal Machine Learning
by: Chernozhukov, Victor, et al.
Published: (2021)
by: Chernozhukov, Victor, et al.
Published: (2021)
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)
Semidiscrete optimal transport with unknown costs
by: Zhu, Yinchu, et al.
Published: (2023)
by: Zhu, Yinchu, et al.
Published: (2023)
Semiparametric Off-Policy Inference for Optimal Policy Values under Possible Non-Uniqueness
by: Wei, Haoyu
Published: (2025)
by: Wei, Haoyu
Published: (2025)
Automatic Debiased Machine Learning via Riesz Regression
by: Chernozhukov, Victor, et al.
Published: (2021)
by: Chernozhukov, Victor, et al.
Published: (2021)
Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
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)
Double/Debiased Machine Learning for Treatment and Causal Parameters
by: Chernozhukov, Victor, et al.
Published: (2016)
by: Chernozhukov, Victor, et al.
Published: (2016)
Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Debiasing and $t$-tests for synthetic control inference on average causal effects
by: Chernozhukov, Victor, et al.
Published: (2018)
by: Chernozhukov, Victor, et al.
Published: (2018)
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)
Deep Learning for Individual Heterogeneity
by: Farrell, Max H., et al.
Published: (2020)
by: Farrell, Max H., et al.
Published: (2020)
Learning bounds for doubly-robust covariate shift adaptation
by: Lee, Jeonghwan, et al.
Published: (2025)
by: Lee, Jeonghwan, et al.
Published: (2025)
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)
Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in Structured Temporal Data
by: Rice, James
Published: (2026)
by: Rice, James
Published: (2026)
Multi-environment Invariance Learning with Missing Data
by: Jia, Yiran, et al.
Published: (2026)
by: Jia, Yiran, et al.
Published: (2026)
Semiparametric Conditional Factor Models in Asset Pricing
by: Chen, Qihui, et al.
Published: (2021)
by: Chen, Qihui, et al.
Published: (2021)
Semiparametrics via parametrics and contiguity
by: Lee, Adam, et al.
Published: (2025)
by: Lee, Adam, et al.
Published: (2025)
General Bayesian Policy Learning
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Policy Learning with Distributional Welfare
by: Cui, Yifan, et al.
Published: (2023)
by: Cui, Yifan, et al.
Published: (2023)
Semiparametric Efficiency Gains From Parametric Restrictions on Propensity Scores
by: Kono, Haruki
Published: (2023)
by: Kono, Haruki
Published: (2023)
Locally Regular and Efficient Tests in Non-Regular Semiparametric Models
by: Lee, Adam
Published: (2024)
by: Lee, Adam
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)
Ordinary Least Squares as an Attention Mechanism
by: Coulombe, Philippe Goulet
Published: (2025)
by: Coulombe, Philippe Goulet
Published: (2025)
Is completeness necessary? Estimation in nonidentified linear models
by: Babii, Andrii, et al.
Published: (2017)
by: Babii, Andrii, et al.
Published: (2017)
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)
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)
Similar Items
-
Conditional Influence Functions
by: Chernozhukov, Victor, et al.
Published: (2024) -
Dynamic covariate balancing: estimating treatment effects over time with potential local projections
by: Viviano, Davide, et al.
Published: (2021) -
Welfare Analysis in Dynamic Models
by: Chernozhukov, Victor, et al.
Published: (2019) -
Dynamic treatment effects: high-dimensional inference under model misspecification
by: Zhang, Yuqian, et al.
Published: (2021) -
Adversarial Estimation of Riesz Representers
by: Chernozhukov, Victor, et al.
Published: (2020)