{"total":12,"rows":[{"id":"2201.07130","title":"Online, Informative MCMC Thinning with Kernelized Stein Discrepancy","created":"2022-01-18","cited_by_count":3,"area":null},{"id":"2208.02777","title":"QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM","created":"2022-08-04","cited_by_count":3,"area":null},{"id":"2305.07408","title":"Distributed Gradient Descent for Functional Learning","created":"2023-05-12","cited_by_count":2,"area":null},{"id":"2405.07432","title":"Nonparametric Sparse Online Learning of the Koopman Operator","created":"2024-05-13","cited_by_count":2,"area":null},{"id":"2303.06515","title":"Multistage Stochastic Optimization via Kernels","created":"2023-03-11","cited_by_count":1,"area":null},{"id":"2103.14474","title":"Composable Learning with Sparse Kernel Representations","created":"2021-03-26","cited_by_count":0,"area":null},{"id":"2110.09935","title":"Random Feature Approximation for Online Nonlinear Graph Topology Identification","created":"2021-10-19","cited_by_count":0,"area":null},{"id":"2312.07032","title":"Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2401.00691","title":"Stochastic Gradient Descent for Nonparametric Additive Regression","created":"2024-01-01","cited_by_count":0,"area":null},{"id":"2501.16489","title":"Nonparametric Sparse Online Learning of the Koopman Operator","created":"2025-01-27","cited_by_count":0,"area":null},{"id":"2512.19440","title":"Binary Kernel Logistic Regression: a sparsity-inducing formulation and a convergent decomposition training algorithm","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2609.34474","title":"Deep kernel hedging","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}