{"total":33,"rows":[{"id":"2309.12659","title":"OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling","created":"2023-09-22","cited_by_count":74,"area":null},{"id":"2202.11672","title":"Learning Fast and Slow for Online Time Series Forecasting","created":"2022-02-23","cited_by_count":45,"area":null},{"id":"2102.01646","title":"Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games","created":"2021-02-02","cited_by_count":18,"area":null},{"id":"2207.09344","title":"Online Dynamics Learning for Predictive Control with an Application to Aerial Robots","created":"2022-07-19","cited_by_count":17,"area":null},{"id":"2308.08536","title":"Can Transformers Learn Optimal Filtering for Unknown Systems?","created":"2023-08-16","cited_by_count":16,"area":null},{"id":"2403.14949","title":"Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt","created":"2024-03-22","cited_by_count":13,"area":null},{"id":"2301.13349","title":"Unconstrained Dynamic Regret via Sparse Coding","created":"2023-01-31","cited_by_count":11,"area":null},{"id":"2102.00729","title":"Stochastic Online Convex Optimization. Application to probabilistic time series forecasting","created":"2021-02-01","cited_by_count":8,"area":null},{"id":"2206.12977","title":"Adversarially Robust PAC Learnability of Real-Valued Functions","created":"2022-06-26","cited_by_count":8,"area":null},{"id":"2412.00108","title":"Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data","created":"2024-11-28","cited_by_count":6,"area":null},{"id":"2502.06545","title":"Universal Sequence Preconditioning","created":"2025-02-10","cited_by_count":6,"area":null},{"id":"2304.04697","title":"Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction","created":"2023-04-10","cited_by_count":5,"area":null},{"id":"2402.10036","title":"Predictive Linear Online Tracking for Unknown Targets","created":"2024-02-15","cited_by_count":5,"area":null},{"id":"2508.11990","title":"Universal Learning of Nonlinear Dynamics","created":"2025-08-16","cited_by_count":5,"area":null},{"id":"2512.19410","title":"Research Program: Theory of Learning in Dynamical Systems","created":"2025-12-22","cited_by_count":5,"area":null},{"id":"2209.05274","title":"Fairness in Forecasting of Observations of Linear Dynamical Systems","created":"2022-09-12","cited_by_count":4,"area":null},{"id":"2505.08982","title":"Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret","created":"2025-05-13","cited_by_count":4,"area":null},{"id":"2202.13471","title":"ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting","created":"2022-02-27","cited_by_count":3,"area":null},{"id":"2208.04065","title":"Optimistic Optimisation of Composite Objective with Exponentiated Update","created":"2022-08-08","cited_by_count":3,"area":null},{"id":"2205.12549","title":"Learning from time-dependent streaming data with online stochastic algorithms","created":"2022-05-25","cited_by_count":2,"area":null},{"id":"2302.10347","title":"Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting","created":"2023-02-20","cited_by_count":2,"area":null},{"id":"2409.19718","title":"Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts","created":"2024-09-29","cited_by_count":2,"area":null},{"id":"2501.11745","title":"Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching","created":"2025-01-20","cited_by_count":2,"area":null},{"id":"2510.18281","title":"Online Time Series Forecasting with Theoretical Guarantees","created":"2025-10-21","cited_by_count":2,"area":null},{"id":"2102.08907","title":"POLA: Online Time Series Prediction by Adaptive Learning Rates","created":"2021-02-17","cited_by_count":1,"area":null},{"id":"2402.06614","title":"The Complexity of Sequential Prediction in Dynamical Systems","created":"2024-02-09","cited_by_count":1,"area":null},{"id":"2409.09742","title":"OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data","created":"2024-09-15","cited_by_count":1,"area":null},{"id":"2106.06524","title":"WAX-ML: A Python library for machine learning and feedback loops on streaming data","created":"2021-06-11","cited_by_count":0,"area":null},{"id":"2109.10452","title":"Personalized Online Machine Learning","created":"2021-09-21","cited_by_count":0,"area":null},{"id":"2302.10785","title":"Online estimation methods for irregular autoregressive models","created":"2023-01-31","cited_by_count":0,"area":null},{"id":"2411.03925","title":"Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent","created":"2024-11-06","cited_by_count":0,"area":null},{"id":"2601.12931","title":"Online Continual Learning for Time Series: a Natural Score-driven Approach","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2605.28603","title":"Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration","created":"2026-05-27","cited_by_count":0,"area":null}],"next_cursor":null}