Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Drew T., Pathak, Reese, Angelopoulos, Anastasios N., Bates, Stephen, Jordan, Michael I. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Private Prediction Sets
by: Angelopoulos, Anastasios N., et al.
Published: (2021)
by: Angelopoulos, Anastasios N., et al.
Published: (2021)
Conformal Prediction Under Feedback Covariate Shift for Biomolecular Design
by: Fannjiang, Clara, et al.
Published: (2022)
by: Fannjiang, Clara, et al.
Published: (2022)
Theoretical Foundations of Conformal Prediction
by: Angelopoulos, Anastasios N., et al.
Published: (2024)
by: Angelopoulos, Anastasios N., et al.
Published: (2024)
Online conformal prediction with decaying step sizes
by: Angelopoulos, Anastasios N., et al.
Published: (2024)
by: Angelopoulos, Anastasios N., et al.
Published: (2024)
Conformal Risk Control for Non-Monotonic Losses
by: Angelopoulos, Anastasios N.
Published: (2026)
by: Angelopoulos, Anastasios N.
Published: (2026)
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
by: Lekeufack, Jordan, et al.
Published: (2023)
by: Lekeufack, Jordan, et al.
Published: (2023)
Conformal Risk Control
by: Angelopoulos, Anastasios N., et al.
Published: (2022)
by: Angelopoulos, Anastasios N., et al.
Published: (2022)
PPI++: Efficient Prediction-Powered Inference
by: Angelopoulos, Anastasios N., et al.
Published: (2023)
by: Angelopoulos, Anastasios N., et al.
Published: (2023)
Label Noise Robustness of Conformal Prediction
by: Einbinder, Bat-Sheva, et al.
Published: (2022)
by: Einbinder, Bat-Sheva, et al.
Published: (2022)
AutoEval Done Right: Using Synthetic Data for Model Evaluation
by: Boyeau, Pierre, et al.
Published: (2024)
by: Boyeau, Pierre, et al.
Published: (2024)
Incentive-Theoretic Bayesian Inference for Collaborative Science
by: Bates, Stephen, et al.
Published: (2023)
by: Bates, Stephen, et al.
Published: (2023)
Automatically Adaptive Conformal Risk Control
by: Blot, Vincent, et al.
Published: (2024)
by: Blot, Vincent, et al.
Published: (2024)
Causal Inference with Categorical Unobserved Confounder via Mixture Learning
by: Saha, Aytijhya, et al.
Published: (2026)
by: Saha, Aytijhya, et al.
Published: (2026)
Distribution-Free Robust Predict-Then-Optimize in Function Spaces
by: Patel, Yash, et al.
Published: (2026)
by: Patel, Yash, et al.
Published: (2026)
Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support
by: Phung, Trung, et al.
Published: (2025)
by: Phung, Trung, et al.
Published: (2025)
Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
by: Aolaritei, Liviu, et al.
Published: (2025)
by: Aolaritei, Liviu, et al.
Published: (2025)
Locally Adaptive Multi-Objective Learning
by: Kaur, Jivat Neet, et al.
Published: (2026)
by: Kaur, Jivat Neet, et al.
Published: (2026)
Distribution-Free Predictive Inference under Unknown Temporal Drift
by: Han, Elise, et al.
Published: (2024)
by: Han, Elise, et al.
Published: (2024)
Principal-Agent Hypothesis Testing
by: Bates, Stephen, et al.
Published: (2022)
by: Bates, Stephen, et al.
Published: (2022)
Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
by: Bashari, Meshi, et al.
Published: (2025)
by: Bashari, Meshi, et al.
Published: (2025)
SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning
by: Shan, Jiawei, et al.
Published: (2025)
by: Shan, Jiawei, et al.
Published: (2025)
Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling
by: Kluger, Dan M., et al.
Published: (2025)
by: Kluger, Dan M., et al.
Published: (2025)
Assumption-Lean and Data-Adaptive Post-Prediction Inference
by: Miao, Jiacheng, et al.
Published: (2023)
by: Miao, Jiacheng, et al.
Published: (2023)
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association
by: Burt, David R., et al.
Published: (2025)
by: Burt, David R., et al.
Published: (2025)
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)
Data-Driven Influence Functions for Optimization-Based Causal Inference
by: Jordan, Michael I., et al.
Published: (2022)
by: Jordan, Michael I., et al.
Published: (2022)
Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores
by: Kaur, Jivat Neet, et al.
Published: (2025)
by: Kaur, Jivat Neet, et al.
Published: (2025)
Conformal Prediction Sets for Instance Segmentation
by: Lu, Kerri, et al.
Published: (2026)
by: Lu, Kerri, et al.
Published: (2026)
Transfer Q-learning
by: Chen, Elynn, et al.
Published: (2022)
by: Chen, Elynn, et al.
Published: (2022)
Valid Selection among Conformal Sets
by: Hegazy, Mahmoud, et al.
Published: (2025)
by: Hegazy, Mahmoud, et al.
Published: (2025)
Environment-Adaptive Covariate Selection: Learning When to Use Spurious Correlations for Out-of-Distribution Prediction
by: Zuo, Shuozhi, et al.
Published: (2026)
by: Zuo, Shuozhi, et al.
Published: (2026)
Active Multiple-Prediction-Powered Inference
by: Brawand, Nicholas, et al.
Published: (2026)
by: Brawand, Nicholas, et al.
Published: (2026)
Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness
by: Hou, Xiaotian, et al.
Published: (2024)
by: Hou, Xiaotian, et al.
Published: (2024)
Cross-validation: what does it estimate and how well does it do it?
by: Bates, Stephen, et al.
Published: (2021)
by: Bates, Stephen, et al.
Published: (2021)
Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data
by: Yang, Xuelin, et al.
Published: (2025)
by: Yang, Xuelin, et al.
Published: (2025)
A Locally Adaptive Algorithm for Multiple Testing with Network Structure
by: Liang, Ziyi, et al.
Published: (2022)
by: Liang, Ziyi, et al.
Published: (2022)
Valid Inference After Causal Discovery
by: Gradu, Paula, et al.
Published: (2022)
by: Gradu, Paula, et al.
Published: (2022)
Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs
by: Xiong, Ruoxuan, et al.
Published: (2024)
by: Xiong, Ruoxuan, et al.
Published: (2024)
Vector Copula Variational Inference and Dependent Block Posterior Approximations
by: Fu, Yu, et al.
Published: (2025)
by: Fu, Yu, et al.
Published: (2025)
Residual Distribution Predictive Systems
by: Allen, Sam, et al.
Published: (2025)
by: Allen, Sam, et al.
Published: (2025)
Similar Items
-
Private Prediction Sets
by: Angelopoulos, Anastasios N., et al.
Published: (2021) -
Conformal Prediction Under Feedback Covariate Shift for Biomolecular Design
by: Fannjiang, Clara, et al.
Published: (2022) -
Theoretical Foundations of Conformal Prediction
by: Angelopoulos, Anastasios N., et al.
Published: (2024) -
Online conformal prediction with decaying step sizes
by: Angelopoulos, Anastasios N., et al.
Published: (2024) -
Conformal Risk Control for Non-Monotonic Losses
by: Angelopoulos, Anastasios N.
Published: (2026)