Copertina

Context-Aware Doubly-Robust Semi-Supervised Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ruah, Clement, Sifaou, Houssem, Simeone, Osvaldo, Al-Hashimi, Bashir
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Signal Processing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

How to Bridge the Sim-to-Real Gap in Digital Twin-Aided Telecommunication Networks
di: Ruah, Clement, et al.
Pubblicazione: (2025)

Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates
di: Ruah, Clement, et al.
Pubblicazione: (2023)

Multi-Fidelity Hybrid Reinforcement Learning via Information Gain Maximization
di: Sifaou, Houssem, et al.
Pubblicazione: (2025)

Semi-Supervised Learning via Cross-Prediction-Powered Inference for Wireless Systems
di: Sifaou, Houssem, et al.
Pubblicazione: (2024)

Calibration-Aware Bayesian Learning
di: Huang, Jiayi, et al.
Pubblicazione: (2023)

Cell-Free Multi-User MIMO Equalization via In-Context Learning
di: Zecchin, Matteo, et al.
Pubblicazione: (2024)

Robust Bayesian Optimization via Localized Online Conformal Prediction
di: Kim, Dongwon, et al.
Pubblicazione: (2024)

Distributed Associative Memory via Online Convex Optimization
di: Wang, Bowen, et al.
Pubblicazione: (2025)

Distributed Dynamic Associative Memory via Online Convex Optimization
di: Wang, Bowen, et al.
Pubblicazione: (2025)

Mirror Online Conformal Prediction with Intermittent Feedback
di: Wang, Bowen, et al.
Pubblicazione: (2025)

Online Conformal Prediction with Corrupted Feedback
di: Wang, Bowen, et al.
Pubblicazione: (2026)

Optimized Certainty Equivalent Risk-Controlling Prediction Sets
di: Huang, Jiayi, et al.
Pubblicazione: (2026)

Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
di: Eldeeb, Eslam, et al.
Pubblicazione: (2024)

Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
di: Huang, Jiayi, et al.
Pubblicazione: (2024)

In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory
di: Zecchin, Matteo, et al.
Pubblicazione: (2025)

Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
di: Wen, Haifeng, et al.
Pubblicazione: (2024)

Reliable Inference in Edge-Cloud Model Cascades via Conformal Alignment
di: Huang, Jiayi, et al.
Pubblicazione: (2025)

Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts
di: Zhang, Guangyi, et al.
Pubblicazione: (2026)

Dual-Domain Fusion for Semi-Supervised Learning
di: Jalonen, Tuomas, et al.
Pubblicazione: (2025)

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
di: Guo, Mingzhao, et al.
Pubblicazione: (2024)

Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search
di: Zhang, Yunchuan, et al.
Pubblicazione: (2024)

Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
di: Zhang, Yunchuan, et al.
Pubblicazione: (2023)

NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection
di: Wen, Haifeng, et al.
Pubblicazione: (2024)

Variational Quantum Integrated Sensing and Communication
di: Nikoloska, Ivana, et al.
Pubblicazione: (2025)

Graph Semi-Supervised Learning for Point Classification on Data Manifolds
di: Netto, Caio F. Deberaldini, et al.
Pubblicazione: (2025)

Adaptive Bayesian Single-Shot Quantum Sensing
di: Nikoloska, Ivana, et al.
Pubblicazione: (2025)

Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems
di: Simeone, Osvaldo, et al.
Pubblicazione: (2025)

Multi-modal Data based Semi-Supervised Learning for Vehicle Positioning
di: Huan, Ouwen, et al.
Pubblicazione: (2024)

Distilling Calibration via Conformalized Credal Inference
di: Huang, Jiayi, et al.
Pubblicazione: (2025)

Attention-Based Feature Online Conformal Prediction for Time Series
di: Zhu, Meiyi, et al.
Pubblicazione: (2025)

Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
di: Hou, Qiushuo, et al.
Pubblicazione: (2025)

Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection
di: Song, Zihang, et al.
Pubblicazione: (2024)

Semi-Supervised Model-Free Bayesian State Estimation from Compressed Measurements
di: Ghosh, Anubhab, et al.
Pubblicazione: (2024)

Prediction-Powered Communication with Distortion Guarantees
di: Zecchin, Matteo, et al.
Pubblicazione: (2025)

On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization
di: Katti, Prabodh, et al.
Pubblicazione: (2025)

On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks
di: Zhu, Meiyi, et al.
Pubblicazione: (2024)

Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing
di: Barahimi, B., et al.
Pubblicazione: (2024)

The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review
di: Alharthi, Abdullah, et al.
Pubblicazione: (2024)

Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference
di: Nikoloska, Ivana, et al.
Pubblicazione: (2025)

Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications
di: Kose, Abdulkadir, et al.
Pubblicazione: (2024)