{"total":22,"rows":[{"id":"2402.01258","title":"Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape","created":"2024-02-02","cited_by_count":46,"area":null},{"id":"2306.07221","title":"Convergence of mean-field Langevin dynamics: Time and space discretization, stochastic gradient, and variance reduction","created":"2023-06-12","cited_by_count":20,"area":null},{"id":"2406.08654","title":"Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization","created":"2024-06-12","cited_by_count":17,"area":null},{"id":"2408.07254","title":"Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics","created":"2024-08-14","cited_by_count":15,"area":null},{"id":"2403.14917","title":"Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective","created":"2024-03-22","cited_by_count":13,"area":null},{"id":"2406.07475","title":"Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior","created":"2024-06-11","cited_by_count":13,"area":null},{"id":"2312.07335","title":"Momentum Particle Maximum Likelihood","created":"2023-12-12","cited_by_count":12,"area":null},{"id":"2405.15767","title":"Improved Particle Approximation Error for Mean Field Neural Networks","created":"2024-05-24","cited_by_count":12,"area":null},{"id":"2312.01127","title":"Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems","created":"2023-12-02","cited_by_count":11,"area":null},{"id":"2302.07125","title":"Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent","created":"2023-02-14","cited_by_count":7,"area":null},{"id":"2402.07355","title":"Sampling from the Mean-Field Stationary Distribution","created":"2024-02-12","cited_by_count":7,"area":null},{"id":"2502.05784","title":"Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble","created":"2025-02-09","cited_by_count":5,"area":null},{"id":"2303.02957","title":"Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems","created":"2023-03-06","cited_by_count":4,"area":null},{"id":"2411.15067","title":"Linear convergence of proximal descent schemes on the Wasserstein space","created":"2024-11-22","cited_by_count":4,"area":null},{"id":"2505.02621","title":"Mirror Mean-Field Langevin Dynamics","created":"2025-05-05","cited_by_count":3,"area":null},{"id":"2302.05938","title":"Mean Field Optimization Problem Regularized by Fisher Information","created":"2023-02-12","cited_by_count":2,"area":null},{"id":"2312.16360","title":"Mean-field underdamped Langevin dynamics and its spacetime discretization","created":"2023-12-26","cited_by_count":2,"area":null},{"id":"2501.14993","title":"Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity","created":"2025-01-25","cited_by_count":2,"area":null},{"id":"2503.13115","title":"Beyond Propagation of Chaos: A Stochastic Algorithm for Mean Field Optimization","created":"2025-03-17","cited_by_count":1,"area":null},{"id":"2506.08121","title":"Continuous Policy and Value Iteration for Relaxed Stochastic Control Problems and Its Convergence","created":"2025-06-09","cited_by_count":1,"area":null},{"id":"2404.05185","title":"Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size","created":"2024-04-08","cited_by_count":0,"area":null},{"id":"2602.15094","title":"On propagation of chaos for the Fisher-Rao gradient flow in entropic mean-field optimization","created":"2026-02-16","cited_by_count":0,"area":null}],"next_cursor":null}