Zero-Inflated Bandits
Fuente:
arXiv
Saved in:
| Main Authors: | Wei, Haoyu, Wan, Runzhe, Shi, Lei, Song, Rui |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STEEL: Singularity-aware Reinforcement Learning
by: Chen, Xiaohong, et al.
Published: (2023)
by: Chen, Xiaohong, et al.
Published: (2023)
Selective Reviews of Bandit Problems in AI via a Statistical View
by: Zhou, Pengjie, et al.
Published: (2024)
by: Zhou, Pengjie, et al.
Published: (2024)
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
by: Zhang, Huiming, et al.
Published: (2023)
by: Zhang, Huiming, 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)
Budget-Constrained Causal Bandits: Bridging Uplift Modeling and Sequential Decision-Making
by: Pillai, Abhirami
Published: (2026)
by: Pillai, Abhirami
Published: (2026)
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
by: Zhan, Ruohan, et al.
Published: (2021)
by: Zhan, Ruohan, et al.
Published: (2021)
On LASSO for High Dimensional Predictive Regression
by: Mei, Ziwei, et al.
Published: (2022)
by: Mei, Ziwei, et al.
Published: (2022)
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)
The boosted HP filter is more general than you might think
by: Mei, Ziwei, et al.
Published: (2022)
by: Mei, Ziwei, et al.
Published: (2022)
A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches
by: Lyu, Boge, et al.
Published: (2025)
by: Lyu, Boge, et al.
Published: (2025)
High-dimensional censored MIDAS logistic regression for corporate survival forecasting
by: Miao, Wei, et al.
Published: (2025)
by: Miao, Wei, et al.
Published: (2025)
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
by: Kato, Masahiro
Published: (2023)
by: Kato, Masahiro
Published: (2023)
LASSO Inference for High Dimensional Predictive Regressions
by: Gao, Zhan, et al.
Published: (2024)
by: Gao, Zhan, et al.
Published: (2024)
Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction
by: Zeng, Hao, et al.
Published: (2024)
by: Zeng, Hao, et al.
Published: (2024)
SLIM: Stochastic Learning and Inference in Overidentified Models
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
Post Reinforcement Learning Inference
by: Syrgkanis, Vasilis, et al.
Published: (2023)
by: Syrgkanis, Vasilis, et al.
Published: (2023)
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
by: Singh, Amandeep, et al.
Published: (2023)
by: Singh, Amandeep, et al.
Published: (2023)
fmeffects: An R Package for Forward Marginal Effects
by: Löwe, Holger, et al.
Published: (2023)
by: Löwe, Holger, et al.
Published: (2023)
Inside the black box: Neural network-based real-time prediction of US recessions
by: Chung, Seulki
Published: (2023)
by: Chung, Seulki
Published: (2023)
Optimal Categorical Instrumental Variables
by: Wiemann, Thomas
Published: (2023)
by: Wiemann, Thomas
Published: (2023)
From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks
by: Coulombe, Philippe Goulet, et al.
Published: (2023)
by: Coulombe, Philippe Goulet, et al.
Published: (2023)
Adaptive maximization of social welfare
by: Cesa-Bianchi, Nicolo, et al.
Published: (2023)
by: Cesa-Bianchi, Nicolo, et al.
Published: (2023)
ddml: Double/debiased machine learning in Stata
by: Ahrens, Achim, et al.
Published: (2023)
by: Ahrens, Achim, et al.
Published: (2023)
Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability
by: Rehill, Patrick, et al.
Published: (2023)
by: Rehill, Patrick, et al.
Published: (2023)
Double Machine Learning for Static Panel Models with Fixed Effects
by: Clarke, Paul S., et al.
Published: (2023)
by: Clarke, Paul S., et al.
Published: (2023)
Testing Effect Homogeneity and Confounding in High-Dimensional Experimental and Observational Studies
by: Armendariz, Ana, et al.
Published: (2026)
by: Armendariz, Ana, et al.
Published: (2026)
Testing Full Mediation of Treatment Effects and the Identifiability of Causal Mechanisms
by: Huber, Martin, et al.
Published: (2026)
by: Huber, Martin, et al.
Published: (2026)
Weak instrumental variables due to nonlinearities in panel data: A Super Learner Control Function estimator
by: Avila-Marquez, Monika
Published: (2025)
by: Avila-Marquez, Monika
Published: (2025)
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)
Explainable AI in Spatial Analysis
by: Li, Ziqi
Published: (2025)
by: Li, Ziqi
Published: (2025)
Unemployment Dynamics Forecasting with Machine Learning Regression Models
by: Kim, Kyungsu
Published: (2025)
by: Kim, Kyungsu
Published: (2025)
Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights from Synthetic Data Validation
by: Li, Ziqi, et al.
Published: (2025)
by: Li, Ziqi, et al.
Published: (2025)
Policy Learning with Competing Agents
by: Sahoo, Roshni, et al.
Published: (2022)
by: Sahoo, Roshni, et al.
Published: (2022)
Individual and group fairness in geographical partitioning
by: Ryzhov, Ilya O., et al.
Published: (2025)
by: Ryzhov, Ilya O., et al.
Published: (2025)
Beating the Winner's Curse via Inference-Aware Policy Optimization
by: Bastani, Hamsa, et al.
Published: (2025)
by: Bastani, Hamsa, et al.
Published: (2025)
Nuclear Norm Regularized Estimation of Panel Regression Models
by: Moon, Hyungsik Roger, et al.
Published: (2018)
by: Moon, Hyungsik Roger, et al.
Published: (2018)
causalfe: Causal Forests with Fixed Effects in Python
by: Aytug, Harry
Published: (2026)
by: Aytug, Harry
Published: (2026)
From Many Models, One: Macroeconomic Forecasting with Reservoir Ensembles
by: Ballarin, Giovanni, et al.
Published: (2025)
by: Ballarin, Giovanni, 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)
Penalized GMM Framework for Inference on Functionals of Nonparametric Instrumental Variable Estimators
by: Bakhitov, Edvard
Published: (2026)
by: Bakhitov, Edvard
Published: (2026)
Similar Items
-
STEEL: Singularity-aware Reinforcement Learning
by: Chen, Xiaohong, et al.
Published: (2023) -
Selective Reviews of Bandit Problems in AI via a Statistical View
by: Zhou, Pengjie, et al.
Published: (2024) -
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
by: Zhang, Huiming, et al.
Published: (2023) -
Semiparametric Off-Policy Inference for Optimal Policy Values under Possible Non-Uniqueness
by: Wei, Haoyu
Published: (2025) -
Budget-Constrained Causal Bandits: Bridging Uplift Modeling and Sequential Decision-Making
by: Pillai, Abhirami
Published: (2026)