{"total":13,"rows":[{"id":"2102.09924","title":"A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions","created":"2021-02-19","cited_by_count":14,"area":null},{"id":"2301.08039","title":"Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity -- the Strongly Convex Case","created":"2023-01-19","cited_by_count":12,"area":null},{"id":"2108.04620","title":"A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions","created":"2021-08-10","cited_by_count":10,"area":null},{"id":"2104.00277","title":"A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions","created":"2021-04-01","cited_by_count":9,"area":null},{"id":"2112.07369","title":"Convergence proof for stochastic gradient descent in the training of deep neural networks with ReLU activation for constant target functions","created":"2021-12-13","cited_by_count":9,"area":null},{"id":"2406.14292","title":"Proximal Interacting Particle Langevin Algorithms","created":"2024-06-20","cited_by_count":8,"area":null},{"id":"2407.05790","title":"Kinetic Interacting Particle Langevin Monte Carlo","created":"2024-07-08","cited_by_count":7,"area":null},{"id":"2107.07211","title":"Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo","created":"2021-07-15","cited_by_count":4,"area":null},{"id":"2110.11131","title":"Statistical Finite Elements via Langevin Dynamics","created":"2021-10-21","cited_by_count":4,"area":null},{"id":"2201.00409","title":"Global convergence of optimized adaptive importance samplers","created":"2022-01-02","cited_by_count":2,"area":null},{"id":"2305.13882","title":"Subsampling Error in Stochastic Gradient Langevin Diffusions","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2509.12031","title":"Contractive kinetic Langevin samplers beyond global Lipschitz continuity","created":"2025-09-15","cited_by_count":1,"area":null},{"id":"2606.00293","title":"Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo","created":"2026-05-29","cited_by_count":0,"area":null}],"next_cursor":null}