Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
Fuente:
arXiv
Saved in:
| Main Authors: | Park, Sangwoo, Zecchin, Matteo, Simeone, Osvaldo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
by: Zecchin, Matteo, et al.
Published: (2024)
by: Zecchin, Matteo, et al.
Published: (2024)
AutoEval Done Right: Using Synthetic Data for Model Evaluation
by: Boyeau, Pierre, et al.
Published: (2024)
by: Boyeau, Pierre, et al.
Published: (2024)
Generalization and Informativeness of Conformal Prediction
by: Zecchin, Matteo, et al.
Published: (2024)
by: Zecchin, Matteo, et al.
Published: (2024)
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
by: Chen, Jiechen, et al.
Published: (2023)
by: Chen, Jiechen, et al.
Published: (2023)
Localized Adaptive Risk Control
by: Zecchin, Matteo, et al.
Published: (2024)
by: Zecchin, Matteo, et al.
Published: (2024)
Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift
by: Zecchin, Matteo, et al.
Published: (2025)
by: Zecchin, Matteo, et al.
Published: (2025)
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems
by: Simeone, Osvaldo, et al.
Published: (2025)
by: Simeone, Osvaldo, et al.
Published: (2025)
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models
by: Zecchin, Matteo, et al.
Published: (2023)
by: Zecchin, Matteo, et al.
Published: (2023)
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
by: Huang, Jiayi, et al.
Published: (2024)
by: Huang, Jiayi, et al.
Published: (2024)
Efficient Federated Conformal Prediction with Group-Conditional Guarantees
by: Wen, Haifeng, et al.
Published: (2026)
by: Wen, Haifeng, et al.
Published: (2026)
Industrializing Prediction-Powered Inference: The GLIDE Library for Reliable GenAI and Agentic Systems Evaluation
by: Martinon, Grégoire, et al.
Published: (2026)
by: Martinon, Grégoire, et al.
Published: (2026)
Robust Bayesian Optimization via Localized Online Conformal Prediction
by: Kim, Dongwon, et al.
Published: (2024)
by: Kim, Dongwon, et al.
Published: (2024)
Distilling Calibration via Conformalized Credal Inference
by: Huang, Jiayi, et al.
Published: (2025)
by: Huang, Jiayi, et al.
Published: (2025)
Prediction-Powered Communication with Distortion Guarantees
by: Zecchin, Matteo, et al.
Published: (2025)
by: Zecchin, Matteo, 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)
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
by: Zhang, Yunchuan, et al.
Published: (2023)
by: Zhang, Yunchuan, et al.
Published: (2023)
Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading
by: Hou, Qiushuo, et al.
Published: (2025)
by: Hou, Qiushuo, et al.
Published: (2025)
Is Elo Rating Reliable? A Study Under Model Misspecification
by: Tang, Shange, et al.
Published: (2025)
by: Tang, Shange, et al.
Published: (2025)
ConfHit: Conformal Generative Design with Oracle Free Guarantees
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective
by: Simeone, Osvaldo, et al.
Published: (2025)
by: Simeone, Osvaldo, et al.
Published: (2025)
AI-Powered Bayesian Inference
by: O'Hagan, Sean, et al.
Published: (2025)
by: O'Hagan, Sean, et al.
Published: (2025)
New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning
by: Michelucci, Umberto, et al.
Published: (2025)
by: Michelucci, Umberto, et al.
Published: (2025)
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems
by: Hou, Qiushuo, et al.
Published: (2024)
by: Hou, Qiushuo, et al.
Published: (2024)
Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
by: Hou, Qiushuo, et al.
Published: (2025)
by: Hou, Qiushuo, et al.
Published: (2025)
Online Conformal Prediction with Corrupted Feedback
by: Wang, Bowen, et al.
Published: (2026)
by: Wang, Bowen, et al.
Published: (2026)
First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint
by: Liu, Ziqi, et al.
Published: (2026)
by: Liu, Ziqi, et al.
Published: (2026)
Mirror Online Conformal Prediction with Intermittent Feedback
by: Wang, Bowen, et al.
Published: (2025)
by: Wang, Bowen, et al.
Published: (2025)
Best of mini-N in-loop Sampling: A Contextual Quality Reward Model for Reliable and Efficient Best-of-N Sampling
by: Rho, Hyung Gyu, et al.
Published: (2025)
by: Rho, Hyung Gyu, et al.
Published: (2025)
Calibeating Prediction-Powered Inference
by: van der Laan, Lars, et al.
Published: (2026)
by: van der Laan, Lars, et al.
Published: (2026)
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction
by: Cohen, Kfir M., et al.
Published: (2023)
by: Cohen, Kfir M., et al.
Published: (2023)
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learning
by: Ren, Yutian, et al.
Published: (2024)
by: Ren, Yutian, et al.
Published: (2024)
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks
by: Qiu, Yixuan, et al.
Published: (2024)
by: Qiu, Yixuan, et al.
Published: (2024)
Distributed Conformal Prediction via Message Passing
by: Wen, Haifeng, et al.
Published: (2025)
by: Wen, Haifeng, et al.
Published: (2025)
Bayesian Hierarchical Invariant Prediction
by: Madaleno, Francisco, et al.
Published: (2025)
by: Madaleno, Francisco, et al.
Published: (2025)
Length Optimization in Conformal Prediction
by: Kiyani, Shayan, et al.
Published: (2024)
by: Kiyani, Shayan, et al.
Published: (2024)
Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization
by: Bai, Tian, et al.
Published: (2024)
by: Bai, Tian, et al.
Published: (2024)
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints
by: Zhu, Meiyi, et al.
Published: (2024)
by: Zhu, Meiyi, et al.
Published: (2024)
Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing
by: Sun, Rongyi, et al.
Published: (2026)
by: Sun, Rongyi, et al.
Published: (2026)
LLMs are Overconfident: Evaluating Confidence Interval Calibration with FermiEval
by: Epstein, Elliot L., et al.
Published: (2025)
by: Epstein, Elliot L., et al.
Published: (2025)
Similar Items
-
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
by: Zecchin, Matteo, et al.
Published: (2024) -
AutoEval Done Right: Using Synthetic Data for Model Evaluation
by: Boyeau, Pierre, et al.
Published: (2024) -
Generalization and Informativeness of Conformal Prediction
by: Zecchin, Matteo, et al.
Published: (2024) -
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
by: Chen, Jiechen, et al.
Published: (2023) -
Localized Adaptive Risk Control
by: Zecchin, Matteo, et al.
Published: (2024)