Profit-Aligned CATE Estimation: Reconciling Policy Learning and Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Timoshenko, Artem, Waisman, Caio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Causal Inference for Advertising in Real-Time Bidding Auctions
by: Waisman, Caio, et al.
Published: (2019)
by: Waisman, Caio, et al.
Published: (2019)
Bayesian estimation of finite mixtures of Tobit models
by: Waisman, Caio
Published: (2024)
by: Waisman, Caio
Published: (2024)
Multicell experiments for marginal treatment effect estimation of digital ads
by: Waisman, Caio, et al.
Published: (2023)
by: Waisman, Caio, et al.
Published: (2023)
Beating the Winner's Curse via Inference-Aware Policy Optimization
by: Bastani, Hamsa, et al.
Published: (2025)
by: Bastani, Hamsa, et al.
Published: (2025)
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
by: Belloni, Alexandre, et al.
Published: (2022)
by: Belloni, Alexandre, et al.
Published: (2022)
Policy Learning with Abstention
by: Sawarni, Ayush, et al.
Published: (2025)
by: Sawarni, Ayush, et al.
Published: (2025)
Penalized GMM Framework for Inference on Functionals of Nonparametric Instrumental Variable Estimators
by: Bakhitov, Edvard
Published: (2026)
by: Bakhitov, Edvard
Published: (2026)
Post Reinforcement Learning Inference
by: Syrgkanis, Vasilis, et al.
Published: (2023)
by: Syrgkanis, Vasilis, et al.
Published: (2023)
Policy Learning with Competing Agents
by: Sahoo, Roshni, et al.
Published: (2022)
by: Sahoo, Roshni, et al.
Published: (2022)
SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
by: Cho, Brian, et al.
Published: (2025)
by: Cho, Brian, et al.
Published: (2025)
The Post Double LASSO for Efficiency Analysis
by: Parmeter, Christopher, et al.
Published: (2025)
by: Parmeter, Christopher, et al.
Published: (2025)
Estimation and Inference for Causal Functions with Multiway Clustered Data
by: Liu, Nan, et al.
Published: (2024)
by: Liu, Nan, et al.
Published: (2024)
Inference for Regression with Variables Generated by AI or Machine Learning
by: Battaglia, Laura, et al.
Published: (2024)
by: Battaglia, Laura, et al.
Published: (2024)
Quantile-Optimal Policy Learning under Unmeasured Confounding
by: Chen, Zhongren, et al.
Published: (2025)
by: Chen, Zhongren, et al.
Published: (2025)
Double Machine Learning for Causal Inference under Shared-State Interference
by: Hays, Chris, et al.
Published: (2025)
by: Hays, Chris, et al.
Published: (2025)
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
by: Bach, Philipp, et al.
Published: (2024)
by: Bach, Philipp, et al.
Published: (2024)
Semiparametric Off-Policy Inference for Optimal Policy Values under Possible Non-Uniqueness
by: Wei, Haoyu
Published: (2025)
by: Wei, Haoyu
Published: (2025)
A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time Series: Closed-Form Estimation and Rolling-Window Inference
by: Liu, Haojie, et al.
Published: (2025)
by: Liu, Haojie, et al.
Published: (2025)
Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints
by: Sakaguchi, Shosei
Published: (2021)
by: Sakaguchi, Shosei
Published: (2021)
SLIM: Stochastic Learning and Inference in Overidentified Models
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
Data-Automated Policy Learning for Nonlinear Welfare
by: Ai, Chunrong, et al.
Published: (2026)
by: Ai, Chunrong, et al.
Published: (2026)
Inference for an Algorithmic Fairness-Accuracy Frontier
by: Liu, Yiqi, et al.
Published: (2024)
by: Liu, Yiqi, et al.
Published: (2024)
Externally Valid Policy Choice
by: Adjaho, Christopher, et al.
Published: (2022)
by: Adjaho, Christopher, et al.
Published: (2022)
Forecasting Algorithms for Causal Inference with Panel Data
by: Goldin, Jacob, et al.
Published: (2022)
by: Goldin, Jacob, et al.
Published: (2022)
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference
by: Mukherjee, Anirban, et al.
Published: (2024)
by: Mukherjee, Anirban, et al.
Published: (2024)
Statistical Inference of Optimal Allocations I: Regularities and their Implications
by: Feng, Kai, et al.
Published: (2024)
by: Feng, Kai, et al.
Published: (2024)
Causal Q-Aggregation for CATE Model Selection
by: Lan, Hui, et al.
Published: (2023)
by: Lan, Hui, et al.
Published: (2023)
Individualized Policy Evaluation and Learning under Clustered Network Interference
by: Zhang, Yi, et al.
Published: (2023)
by: Zhang, Yi, et al.
Published: (2023)
Model-Estimation-Free, Dense, and High Dimensional Consistent Precision Matrix Estimators
by: Stojnic, Mehmet Caner Agostino Capponi Mihailo
Published: (2025)
by: Stojnic, Mehmet Caner Agostino Capponi Mihailo
Published: (2025)
A Unifying Framework for Robust and Efficient Inference with Unstructured Data
by: Carlson, Jacob, et al.
Published: (2025)
by: Carlson, Jacob, et al.
Published: (2025)
Improving the Finite Sample Estimation of Average Treatment Effects using Double/Debiased Machine Learning with Propensity Score Calibration
by: Ballinari, Daniele, et al.
Published: (2024)
by: Ballinari, Daniele, et al.
Published: (2024)
Adversarial Estimation of Riesz Representers
by: Chernozhukov, Victor, et al.
Published: (2020)
by: Chernozhukov, Victor, et al.
Published: (2020)
ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Stable Time Series Prediction of Enterprise Carbon Emissions Based on Causal Inference
by: Hong, Zitao, et al.
Published: (2026)
by: Hong, Zitao, et al.
Published: (2026)
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
by: Zhang, Huiming, et al.
Published: (2023)
by: Zhang, Huiming, et al.
Published: (2023)
Inference in Partially Linear Models under Dependent Data with Deep Neural Networks
by: Brown, Chad
Published: (2024)
by: Brown, Chad
Published: (2024)
Two Approaches to Direct Estimation of Riesz Representers
by: Bruns-Smith, David
Published: (2026)
by: Bruns-Smith, David
Published: (2026)
Estimating Causal Effects with Double Machine Learning -- A Method Evaluation
by: Fuhr, Jonathan, et al.
Published: (2024)
by: Fuhr, Jonathan, et al.
Published: (2024)
Nuclear Norm Regularized Estimation of Panel Regression Models
by: Moon, Hyungsik Roger, et al.
Published: (2018)
by: Moon, Hyungsik Roger, et al.
Published: (2018)
Policy-Oriented Binary Classification: Improving (KD-)CART Final Splits for Subpopulation Targeting
by: Wang, Lei Bill, et al.
Published: (2025)
by: Wang, Lei Bill, et al.
Published: (2025)
Similar Items
-
Online Causal Inference for Advertising in Real-Time Bidding Auctions
by: Waisman, Caio, et al.
Published: (2019) -
Bayesian estimation of finite mixtures of Tobit models
by: Waisman, Caio
Published: (2024) -
Multicell experiments for marginal treatment effect estimation of digital ads
by: Waisman, Caio, et al.
Published: (2023) -
Beating the Winner's Curse via Inference-Aware Policy Optimization
by: Bastani, Hamsa, et al.
Published: (2025) -
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
by: Belloni, Alexandre, et al.
Published: (2022)