Cover Image

Relevance-Aware Thresholding in Online Conformal Prediction for Time Series

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dupuy, Théo, Xu, Binbin, Perrey, Stéphane, Montmain, Jacky, Imoussaten, Abdelhak
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model
by: Huang, Xiannan, et al.
Published: (2025)

How Does a Single EEG Channel Tell Us About Brain States in Brain-Computer Interfaces ?
by: Ajra, Zaineb, et al.
Published: (2024)

Relational Conformal Prediction for Correlated Time Series
by: Cini, Andrea, et al.
Published: (2025)

MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
by: Tan, Zexi, et al.
Published: (2025)

Leveraging Generic Time Series Foundation Models for EEG Classification
by: Gnassounou, Théo, et al.
Published: (2025)

Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
by: Kim, Changhun, et al.
Published: (2025)

Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality
by: Liu, Ziqi, et al.
Published: (2025)

Conformal Prediction for Time-series Forecasting with Change Points
by: Sun, Sophia, et al.
Published: (2025)

Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring
by: Gil, Natalia Martinez, et al.
Published: (2026)

ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction
by: Kim, Jinwoong, et al.
Published: (2026)

CalPro: Prior-Aware Evidential--Conformal Prediction with Structure-Aware Guarantees for Protein Structures
by: Shihab, Ibne Farabi, et al.
Published: (2026)

DE3S: Dual-Enhanced Soft-Sparse-Shape Learning for Medical Early Time-Series Classification
by: Xie, Tao, et al.
Published: (2025)

IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
by: Wu, Beiliang, et al.
Published: (2025)

Population Aware Diffusion for Time Series Generation
by: Li, Yang, et al.
Published: (2025)

Reasoning-Aware Training for Time Series Forecasting
by: Ahamed, Md Atik, et al.
Published: (2026)

A Graph-based Framework for Online Time Series Anomaly Detection Using Model Ensemble
by: Yu, Zewei, et al.
Published: (2026)

Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
by: Xu, Kunpeng, et al.
Published: (2024)

EventTSF: Event-Aware Non-Stationary Time Series Forecasting
by: Ge, Yunfeng, et al.
Published: (2025)

To Judge or not to Judge: Using LLM Judgements for Advertiser Keyphrase Relevance at eBay
by: Dey, Soumik, et al.
Published: (2025)

Denoising-Aware Contrastive Learning for Noisy Time Series
by: Zhou, Shuang, et al.
Published: (2024)

SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
by: Zhang, Zhenwei, et al.
Published: (2023)

Conformal Depression Prediction
by: Li, Yonghong, et al.
Published: (2024)

Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
by: Yu, Qingdi, et al.
Published: (2025)

Conformal Prediction on Quantifying Uncertainty of Dynamic Systems
by: Liang, Aoming, et al.
Published: (2024)

Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting
by: Ekstrand, Joel, et al.
Published: (2025)

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
by: Jang, Hyeongwon, et al.
Published: (2025)

Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
by: Zhao, Sinong, et al.
Published: (2024)

Online Continual Learning for Time Series: a Natural Score-driven Approach
by: Urettini, Edoardo, et al.
Published: (2026)

A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge
by: Mejri, Mohamed, et al.
Published: (2024)

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation
by: Gong, Peiliang, et al.
Published: (2025)

TIFO: Time-Invariant Frequency Operator for Stationarity-Aware Representation Learning in Time Series
by: Piao, Xihao, et al.
Published: (2026)

Conformal Prediction as Bayesian Quadrature
by: Snell, Jake C., et al.
Published: (2025)

Conformal Prediction with Learned Features
by: Kiyani, Shayan, et al.
Published: (2024)

Predictive Inference With Fast Feature Conformal Prediction
by: Tang, Zihao, et al.
Published: (2024)

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)

Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
by: Yao, Yueyang, et al.
Published: (2025)

Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market
by: O'Connor, Ciaran, et al.
Published: (2025)

Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching
by: Xu, Huibo, et al.
Published: (2025)

Safe Urban Traffic Control via Uncertainty-Aware Conformal Prediction and World-Model Reinforcement Learning
by: Chandra, Joydeep, et al.
Published: (2026)