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streaming data

84 papers

Papers

OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams AAAI 2026 Online Subspace Learning on Flag Manifolds for System Identification L4DC 2026 ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026 PEOCH: Online Cross-Modal Hashing with Semi-Supervised Streaming Data Driving Prototype Evolution AAAI 2026 Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2026 TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization AAAI 2026 A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025 Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data IJCAI 2025 Early Concept Drift Detection via Prediction Uncertainty AAAI 2025 Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition JMLR 2025 Fraud-Proof Revenue Division on Subscription Platforms ICML 2025 On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025 PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning ICCV 2025 SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data AAAI 2025 An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024 Continual Multi-View Clustering with Consistent Anchor Guidance IJCAI 2024 Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint) IJCAI 2024 Energy Efficient Streaming Time Series Classification with Attentive Power Iteration AAAI 2024 Inference on High-dimensional Single-index Models with Streaming Data JMLR 2024 Label Delay in Online Continual Learning NeurIPS 2024 Learning from Streaming Data when Users Choose ICML 2024 Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024 Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling NeurIPS 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 Active Cost-aware Labeling of Streaming Data AISTATS 2023