Beyond Data Splitting: Full-Data Conformal Prediction by Differential Privacy
Fuente:
arXiv
Saved in:
| Main Authors: | Cho, Young Hyun, Awan, Jordan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
by: Wang, Zhanyu, et al.
Published: (2022)
by: Wang, Zhanyu, et al.
Published: (2022)
Split Conformal Prediction under Data Contamination
by: Clarkson, Jase, et al.
Published: (2024)
by: Clarkson, Jase, et al.
Published: (2024)
Formal Privacy Guarantees with Invariant Statistics
by: Cho, Young Hyun, et al.
Published: (2024)
by: Cho, Young Hyun, et al.
Published: (2024)
Differentially Private Covariate Balancing Causal Inference
by: Ohnishi, Yuki, et al.
Published: (2024)
by: Ohnishi, Yuki, et al.
Published: (2024)
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
by: Penso, Coby, et al.
Published: (2025)
by: Penso, Coby, et al.
Published: (2025)
Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
by: Lützow, Laura, et al.
Published: (2026)
by: Lützow, Laura, et al.
Published: (2026)
Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling
by: Cho, Young Hyun, et al.
Published: (2026)
by: Cho, Young Hyun, et al.
Published: (2026)
Privacy-Preserving Dynamic Assortment Selection
by: Cho, Young Hyun, et al.
Published: (2024)
by: Cho, Young Hyun, et al.
Published: (2024)
Unified Conformalized Multiple Testing with Full Data Efficiency
by: Huo, Yuyang, et al.
Published: (2025)
by: Huo, Yuyang, et al.
Published: (2025)
Conformal Prediction for Compositional Data
by: Amaral, Lucas P., et al.
Published: (2025)
by: Amaral, Lucas P., et al.
Published: (2025)
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
by: Aliakbarpour, Maryam, et al.
Published: (2024)
by: Aliakbarpour, Maryam, et al.
Published: (2024)
Backward Conformal Prediction
by: Gauthier, Etienne, et al.
Published: (2025)
by: Gauthier, Etienne, et al.
Published: (2025)
Data Efficient Subset Training with Differential Privacy
by: Gandhi, Ninad Jayesh, et al.
Published: (2025)
by: Gandhi, Ninad Jayesh, et al.
Published: (2025)
Differentially Private Conformal Prediction
by: Wu, Jiamei, et al.
Published: (2026)
by: Wu, Jiamei, et al.
Published: (2026)
Split Conformal Prediction in the Function Space with Neural Operators
by: Millard, David, et al.
Published: (2025)
by: Millard, David, et al.
Published: (2025)
Efficient Conformal Prediction under Data Heterogeneity
by: Plassier, Vincent, et al.
Published: (2023)
by: Plassier, Vincent, et al.
Published: (2023)
Do We Really Even Need Data? A Modern Look at Drawing Inference with Predicted Data
by: Salerno, Stephen, et al.
Published: (2025)
by: Salerno, Stephen, et al.
Published: (2025)
Distribution-informed Efficient Conformal Prediction for Full Ranking
by: Liao, Wenbo, et al.
Published: (2026)
by: Liao, Wenbo, et al.
Published: (2026)
Optimizing In-Context Learning for Efficient Full Conformal Prediction
by: Deng, Weicao, et al.
Published: (2025)
by: Deng, Weicao, et al.
Published: (2025)
Incomplete U-Statistics of Equireplicate Designs: Berry-Esseen Bound and Efficient Construction
by: Miglioli, Cesare, et al.
Published: (2025)
by: Miglioli, Cesare, et al.
Published: (2025)
Conformal Predictions under Markovian Data
by: Zheng, Frédéric, et al.
Published: (2024)
by: Zheng, Frédéric, et al.
Published: (2024)
Adaptive Coverage Policies in Conformal Prediction
by: Gauthier, Etienne, et al.
Published: (2025)
by: Gauthier, Etienne, et al.
Published: (2025)
Conformal Prediction for Hierarchical Data
by: Principato, Guillaume, et al.
Published: (2024)
by: Principato, Guillaume, et al.
Published: (2024)
Spatio-Temporal Conformal Prediction for Power Outage Data
by: Jiang, Hanyang, et al.
Published: (2024)
by: Jiang, Hanyang, et al.
Published: (2024)
E-Values Expand the Scope of Conformal Prediction
by: Gauthier, Etienne, et al.
Published: (2025)
by: Gauthier, Etienne, et al.
Published: (2025)
Beyond Procedure: Substantive Fairness in Conformal Prediction
by: Liu, Pengqi, et al.
Published: (2026)
by: Liu, Pengqi, et al.
Published: (2026)
Ensuring Calibration Robustness in Split Conformal Prediction Under Adversarial Attacks
by: Qian, Xunlei, et al.
Published: (2025)
by: Qian, Xunlei, et al.
Published: (2025)
Near-Optimal Private Tests for Simple and MLR Hypotheses
by: Chen, Yu-Wei, et al.
Published: (2026)
by: Chen, Yu-Wei, et al.
Published: (2026)
Online Conformal Prediction for Non-Exchangeable Panel Data
by: Tu, Daohong, et al.
Published: (2026)
by: Tu, Daohong, et al.
Published: (2026)
Filtering with Confidence: When Data Augmentation Meets Conformal Prediction
by: Wu, Zixuan, et al.
Published: (2025)
by: Wu, Zixuan, et al.
Published: (2025)
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning
by: Scholten, Yan, et al.
Published: (2024)
by: Scholten, Yan, et al.
Published: (2024)
Conformal Prediction: A Data Perspective
by: Zhou, Xiaofan, et al.
Published: (2024)
by: Zhou, Xiaofan, et al.
Published: (2024)
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning
by: Scemama, Paul, et al.
Published: (2023)
by: Scemama, Paul, et al.
Published: (2023)
Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data
by: Hod, Shlomi, et al.
Published: (2025)
by: Hod, Shlomi, et al.
Published: (2025)
Beyond Data Privacy: New Privacy Risks for Large Language Models
by: Du, Yuntao, et al.
Published: (2025)
by: Du, Yuntao, et al.
Published: (2025)
Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis
by: Sattarov, Timur, et al.
Published: (2024)
by: Sattarov, Timur, et al.
Published: (2024)
Poisoning Attacks to Local Differential Privacy Protocols for Trajectory Data
by: Hsu, I-Jung, et al.
Published: (2025)
by: Hsu, I-Jung, et al.
Published: (2025)
Joint Registration and Conformal Prediction for Partially Observed Functional Data
by: Wang, Fangyi, et al.
Published: (2025)
by: Wang, Fangyi, et al.
Published: (2025)
Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence
by: Tailor, Dharmesh, et al.
Published: (2025)
by: Tailor, Dharmesh, et al.
Published: (2025)
Split Conformal Classification with Unsupervised Calibration
by: Mazuelas, Santiago
Published: (2025)
by: Mazuelas, Santiago
Published: (2025)
Similar Items
-
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
by: Wang, Zhanyu, et al.
Published: (2022) -
Split Conformal Prediction under Data Contamination
by: Clarkson, Jase, et al.
Published: (2024) -
Formal Privacy Guarantees with Invariant Statistics
by: Cho, Young Hyun, et al.
Published: (2024) -
Differentially Private Covariate Balancing Causal Inference
by: Ohnishi, Yuki, et al.
Published: (2024) -
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
by: Penso, Coby, et al.
Published: (2025)