Calibration-Aware Bayesian Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Jiayi, Park, Sangwoo, Simeone, Osvaldo |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
by: Huang, Jiayi, et al.
Published: (2024)
by: Huang, Jiayi, et al.
Published: (2024)
Distilling Calibration via Conformalized Credal Inference
by: Huang, Jiayi, et al.
Published: (2025)
by: Huang, Jiayi, et al.
Published: (2025)
Reliable Inference in Edge-Cloud Model Cascades via Conformal Alignment
by: Huang, Jiayi, et al.
Published: (2025)
by: Huang, Jiayi, 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)
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)
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search
by: Zhang, Yunchuan, et al.
Published: (2024)
by: Zhang, Yunchuan, et al.
Published: (2024)
Robust Bayesian Optimization via Localized Online Conformal Prediction
by: Kim, Dongwon, et al.
Published: (2024)
by: Kim, Dongwon, et al.
Published: (2024)
Optimized Certainty Equivalent Risk-Controlling Prediction Sets
by: Huang, Jiayi, et al.
Published: (2026)
by: Huang, Jiayi, et al.
Published: (2026)
Transferable Multi-Fidelity Bayesian Optimization for Radio Resource Management
by: Zhang, Yunchuan, et al.
Published: (2024)
by: Zhang, Yunchuan, et al.
Published: (2024)
Uncertainty-Aware and Reliable Neural MIMO Receivers via Modular Bayesian Deep Learning
by: Raviv, Tomer, et al.
Published: (2023)
by: Raviv, Tomer, et al.
Published: (2023)
Multi-Fidelity Hybrid Reinforcement Learning via Information Gain Maximization
by: Sifaou, Houssem, et al.
Published: (2025)
by: Sifaou, Houssem, et al.
Published: (2025)
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)
Context-Aware Doubly-Robust Semi-Supervised Learning
by: Ruah, Clement, et al.
Published: (2025)
by: Ruah, Clement, et al.
Published: (2025)
Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction
by: Yoo, Seonghoon, et al.
Published: (2025)
by: Yoo, Seonghoon, et al.
Published: (2025)
Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO
by: Park, Sangwoo, et al.
Published: (2024)
by: Park, Sangwoo, et al.
Published: (2024)
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)
Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates
by: Ruah, Clement, et al.
Published: (2023)
by: Ruah, Clement, et al.
Published: (2023)
Adaptive Bayesian Single-Shot Quantum Sensing
by: Nikoloska, Ivana, et al.
Published: (2025)
by: Nikoloska, Ivana, et al.
Published: (2025)
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)
Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction
by: Cohen, Kfir M., et al.
Published: (2022)
by: Cohen, Kfir M., et al.
Published: (2022)
Distributed Associative Memory via Online Convex Optimization
by: Wang, Bowen, et al.
Published: (2025)
by: Wang, Bowen, et al.
Published: (2025)
Online Conformal Prediction with Corrupted Feedback
by: Wang, Bowen, et al.
Published: (2026)
by: Wang, Bowen, et al.
Published: (2026)
Distributed Dynamic Associative Memory via Online Convex Optimization
by: Wang, Bowen, et al.
Published: (2025)
by: Wang, Bowen, et al.
Published: (2025)
Mirror Online Conformal Prediction with Intermittent Feedback
by: Wang, Bowen, et al.
Published: (2025)
by: Wang, Bowen, et al.
Published: (2025)
Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning
by: Hou, Qiushuo, et al.
Published: (2024)
by: Hou, Qiushuo, et al.
Published: (2024)
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)
Cell-Free Multi-User MIMO Equalization via In-Context Learning
by: Zecchin, Matteo, et al.
Published: (2024)
by: Zecchin, Matteo, et al.
Published: (2024)
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
by: Wen, Haifeng, et al.
Published: (2024)
by: Wen, Haifeng, et al.
Published: (2024)
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks
by: Zhu, Meiyi, et al.
Published: (2024)
by: Zhu, Meiyi, et al.
Published: (2024)
Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts
by: Zhang, Guangyi, et al.
Published: (2026)
by: Zhang, Guangyi, et al.
Published: (2026)
Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
by: Guo, Mingzhao, et al.
Published: (2024)
by: Guo, Mingzhao, et al.
Published: (2024)
NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection
by: Wen, Haifeng, et al.
Published: (2024)
by: Wen, Haifeng, et al.
Published: (2024)
Variational Quantum Integrated Sensing and Communication
by: Nikoloska, Ivana, et al.
Published: (2025)
by: Nikoloska, Ivana, et al.
Published: (2025)
How to Bridge the Sim-to-Real Gap in Digital Twin-Aided Telecommunication Networks
by: Ruah, Clement, et al.
Published: (2025)
by: Ruah, Clement, et al.
Published: (2025)
Attention-Based Feature Online Conformal Prediction for Time Series
by: Zhu, Meiyi, et al.
Published: (2025)
by: Zhu, Meiyi, et al.
Published: (2025)
In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory
by: Zecchin, Matteo, et al.
Published: (2025)
by: Zecchin, Matteo, et al.
Published: (2025)
Reliable Sub-Nyquist Spectrum Sensing via Conformal Risk Control
by: Lee, Hyojin, et al.
Published: (2024)
by: Lee, Hyojin, et al.
Published: (2024)
Foundations of Reliable Inference: Reliability-Efficiency Co-Design
by: Huang, Jiayi
Published: (2026)
by: Huang, Jiayi
Published: (2026)
Prediction-Powered Communication with Distortion Guarantees
by: Zecchin, Matteo, et al.
Published: (2025)
by: Zecchin, Matteo, et al.
Published: (2025)
Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference
by: Nikoloska, Ivana, et al.
Published: (2025)
by: Nikoloska, Ivana, et al.
Published: (2025)
Similar Items
-
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
by: Huang, Jiayi, et al.
Published: (2024) -
Distilling Calibration via Conformalized Credal Inference
by: Huang, Jiayi, et al.
Published: (2025) -
Reliable Inference in Edge-Cloud Model Cascades via Conformal Alignment
by: Huang, Jiayi, et al.
Published: (2025) -
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
by: Zhang, Yunchuan, et al.
Published: (2023) -
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems
by: Simeone, Osvaldo, et al.
Published: (2025)