Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
Fuente:
arXiv
Saved in:
| Main Authors: | Bashari, Meshi, Lee, Yonghoon, Lotan, Roy Maor, Dobriban, Edgar, Romano, Yaniv |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synthetic-Powered Multiple Testing with FDR Control
by: Lee, Yonghoon, et al.
Published: (2026)
by: Lee, Yonghoon, et al.
Published: (2026)
Synthetic-Powered Predictive Inference
by: Bashari, Meshi, et al.
Published: (2025)
by: Bashari, Meshi, et al.
Published: (2025)
Robust Conformal Outlier Detection under Contaminated Reference Data
by: Bashari, Meshi, et al.
Published: (2025)
by: Bashari, Meshi, et al.
Published: (2025)
Statistical Methods in Generative AI
by: Dobriban, Edgar
Published: (2025)
by: Dobriban, Edgar
Published: (2025)
Statistically Truthful Auctions via Acceptance Rule
by: Lotan, Roy Maor, et al.
Published: (2024)
by: Lotan, Roy Maor, et al.
Published: (2024)
SymmPI: Predictive Inference for Data with Group Symmetries
by: Dobriban, Edgar, et al.
Published: (2023)
by: Dobriban, Edgar, et al.
Published: (2023)
Batch Predictive Inference
by: Lee, Yonghoon, et al.
Published: (2024)
by: Lee, Yonghoon, et al.
Published: (2024)
Conditional Predictive Inference for Missing Outcomes
by: Lee, Yonghoon, et al.
Published: (2024)
by: Lee, Yonghoon, et al.
Published: (2024)
Finding Distributions that Differ, with False Discovery Rate Control
by: Lee, Yonghoon, et al.
Published: (2025)
by: Lee, Yonghoon, et al.
Published: (2025)
Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
by: Wang, Leda, et al.
Published: (2024)
by: Wang, Leda, et al.
Published: (2024)
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
by: Huang, Xinmeng, et al.
Published: (2023)
by: Huang, Xinmeng, et al.
Published: (2023)
A Framework for Statistical Inference via Randomized Algorithms
by: Zhang, Zhixiang, et al.
Published: (2023)
by: Zhang, Zhixiang, et al.
Published: (2023)
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
by: Qiu, Hongxiang, et al.
Published: (2023)
by: Qiu, Hongxiang, et al.
Published: (2023)
Variational Inference with Coverage Guarantees in Simulation-Based Inference
by: Patel, Yash, et al.
Published: (2023)
by: Patel, Yash, et al.
Published: (2023)
Robust Local Polynomial Regression with Similarity Kernels
by: Shulman, Yaniv
Published: (2025)
by: Shulman, Yaniv
Published: (2025)
Distribution-Free Predictive Inference under Unknown Temporal Drift
by: Han, Elise, et al.
Published: (2024)
by: Han, Elise, et al.
Published: (2024)
Active Statistical Inference
by: Zrnic, Tijana, et al.
Published: (2024)
by: Zrnic, Tijana, et al.
Published: (2024)
Statistical Inference for Fuzzy Clustering
by: Wu, Qiuyi, et al.
Published: (2026)
by: Wu, Qiuyi, et al.
Published: (2026)
Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees
by: Lin, Jiahe, et al.
Published: (2025)
by: Lin, Jiahe, et al.
Published: (2025)
Statistical Guarantees in the Search for Less Discriminatory Algorithms
by: Hays, Chris, et al.
Published: (2025)
by: Hays, Chris, et al.
Published: (2025)
Testing for Outliers with Conformal p-values
by: Bates, Stephen, et al.
Published: (2021)
by: Bates, Stephen, et al.
Published: (2021)
Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching
by: Lu, Wenhui Sophia, et al.
Published: (2025)
by: Lu, Wenhui Sophia, et al.
Published: (2025)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
by: Xu, Yichen
Published: (2026)
by: Xu, Yichen
Published: (2026)
Statistical Inference for Online Algorithms
by: Carter, Selina, et al.
Published: (2025)
by: Carter, Selina, et al.
Published: (2025)
Statistical Inference for Differentially Private Stochastic Gradient Descent
by: Xia, Xintao, et al.
Published: (2025)
by: Xia, Xintao, et al.
Published: (2025)
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
by: Nguyen, Drew T., et al.
Published: (2024)
by: Nguyen, Drew T., et al.
Published: (2024)
disco: Distributional Synthetic Controls
by: Gunsilius, Florian, et al.
Published: (2025)
by: Gunsilius, Florian, et al.
Published: (2025)
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information
by: Ma, Shujie, et al.
Published: (2024)
by: Ma, Shujie, et al.
Published: (2024)
Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
by: Arruda, Jonas, et al.
Published: (2026)
by: Arruda, Jonas, et al.
Published: (2026)
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
by: Jonker, Marianne A., et al.
Published: (2023)
by: Jonker, Marianne A., et al.
Published: (2023)
Causal Synthetic Data Generation in Recruitment
by: Iommi, Andrea, et al.
Published: (2025)
by: Iommi, Andrea, et al.
Published: (2025)
Statistical Inference on Gradient Flows
by: Li, Tongyu, et al.
Published: (2026)
by: Li, Tongyu, et al.
Published: (2026)
Solving a Research Problem in Mathematical Statistics with AI Assistance
by: Dobriban, Edgar
Published: (2025)
by: Dobriban, Edgar
Published: (2025)
MMDCP: A Distribution-free Approach to Outlier Detection and Classification with Coverage Guarantees and SCW-FDR Control
by: Lin, Youwu, et al.
Published: (2025)
by: Lin, Youwu, et al.
Published: (2025)
Statistical Inference for Matching Decisions via Matrix Completion under Dependent Missingness
by: Duan, Congyuan, et al.
Published: (2025)
by: Duan, Congyuan, et al.
Published: (2025)
Nonparametric Identification and Inference for Counterfactual Distributions with Confounding
by: Sun, Jianle, et al.
Published: (2026)
by: Sun, Jianle, et al.
Published: (2026)
Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
by: Li, Michael Lingzhi, et al.
Published: (2023)
by: Li, Michael Lingzhi, et al.
Published: (2023)
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
by: Agarwal, Abhineet, et al.
Published: (2023)
by: Agarwal, Abhineet, et al.
Published: (2023)
Sequential Audit Sampling with Statistical Guarantees
by: Kato, Masahiro, et al.
Published: (2026)
by: Kato, Masahiro, et al.
Published: (2026)
Similar Items
-
Synthetic-Powered Multiple Testing with FDR Control
by: Lee, Yonghoon, et al.
Published: (2026) -
Synthetic-Powered Predictive Inference
by: Bashari, Meshi, et al.
Published: (2025) -
Robust Conformal Outlier Detection under Contaminated Reference Data
by: Bashari, Meshi, et al.
Published: (2025) -
Statistical Methods in Generative AI
by: Dobriban, Edgar
Published: (2025) -
Statistically Truthful Auctions via Acceptance Rule
by: Lotan, Roy Maor, et al.
Published: (2024)