{"total":23,"rows":[{"id":"2402.15715","title":"Operator Learning: Algorithms and Analysis","created":"2024-02-24","cited_by_count":85,"area":null},{"id":"2405.15992","title":"Data Complexity Estimates for Operator Learning","created":"2024-05-25","cited_by_count":26,"area":null},{"id":"2408.06526","title":"Operator Learning Using Random Features: A Tool for Scientific Computing","created":"2024-08-12","cited_by_count":21,"area":null},{"id":"2504.03503","title":"Operator Learning: A Statistical Perspective","created":"2025-04-04","cited_by_count":17,"area":null},{"id":"2405.14778","title":"Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms","created":"2024-05-23","cited_by_count":12,"area":null},{"id":"2406.18794","title":"Operator Learning of Lipschitz Operators: An Information-Theoretic Perspective","created":"2024-06-26","cited_by_count":11,"area":null},{"id":"2311.12214","title":"Random Fourier Signature Features","created":"2023-11-20","cited_by_count":9,"area":null},{"id":"2407.00584","title":"Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features","created":"2024-06-30","cited_by_count":7,"area":null},{"id":"2501.00288","title":"Solving Partial Differential Equations with Random Feature Models","created":"2024-12-31","cited_by_count":6,"area":null},{"id":"2503.00300","title":"Cauchy Random Features for Operator Learning in Sobolev Space","created":"2025-03-01","cited_by_count":5,"area":null},{"id":"2311.12528","title":"Inverse Problems with Learned Forward Operators","created":"2023-11-21","cited_by_count":4,"area":null},{"id":"2501.18283","title":"Random Feature Representation Boosting","created":"2025-01-30","cited_by_count":4,"area":null},{"id":"2603.00819","title":"A short tour of operator learning theory: Convergence rates, statistical limits, and open questions","created":"2026-02-28","cited_by_count":4,"area":null},{"id":"2312.09225","title":"Gaussian Process Regression under Computational and Epistemic Misspecification","created":"2023-12-14","cited_by_count":2,"area":null},{"id":"2412.04785","title":"Differentially Private Random Feature Model","created":"2024-12-06","cited_by_count":2,"area":null},{"id":"2506.16283","title":"Random feature approximation for general spectral methods","created":"2025-06-19","cited_by_count":2,"area":null},{"id":"2512.17884","title":"Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space","created":"2025-12-19","cited_by_count":2,"area":null},{"id":"2505.17765","title":"Joker: Joint Optimization Framework for Lightweight Kernel Machines","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2603.00579","title":"DeepAFL: Deep Analytic Federated Learning","created":"2026-02-28","cited_by_count":1,"area":null},{"id":"2603.00971","title":"Random Features for Operator-Valued Kernels: Bridging Kernel Methods and Neural Operators","created":"2026-03-01","cited_by_count":1,"area":null},{"id":"2308.15434","title":"Random feature approximation for general spectral methods","created":"2023-08-29","cited_by_count":0,"area":null},{"id":"2605.18276","title":"Geometric Dictionary Learning of Dynamical Systems with Optimal Transport","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.25057","title":"Random Neural Network Expressivity for Non-Linear Partial Differential Equations","created":"2026-05-24","cited_by_count":0,"area":null}],"next_cursor":null}