{"total":19,"rows":[{"id":"2202.05214","title":"Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo","created":"2022-02-10","cited_by_count":63,"area":null},{"id":"2209.15245","title":"Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction","created":"2022-09-30","cited_by_count":32,"area":null},{"id":"2203.16217","title":"Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization","created":"2022-03-30","cited_by_count":16,"area":null},{"id":"2206.00508","title":"Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition","created":"2022-06-01","cited_by_count":16,"area":null},{"id":"2410.19780","title":"Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics","created":"2024-10-14","cited_by_count":13,"area":null},{"id":"2110.01827","title":"When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint","created":"2021-10-05","cited_by_count":12,"area":null},{"id":"2301.03573","title":"Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction","created":"2023-01-09","cited_by_count":5,"area":null},{"id":"2303.04622","title":"ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression","created":"2023-03-08","cited_by_count":4,"area":null},{"id":"2211.00100","title":"Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms","created":"2022-10-31","cited_by_count":2,"area":null},{"id":"2410.05700","title":"Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk","created":"2024-10-08","cited_by_count":2,"area":null},{"id":"2501.16055","title":"Random Reshuffling for Stochastic Gradient Langevin Dynamics","created":"2025-01-27","cited_by_count":2,"area":null},{"id":"2504.03626","title":"Quantum Speedups for Sampling and Non-convex Optimization with Stochastic Oracles","created":"2025-04-04","cited_by_count":2,"area":null},{"id":"2605.31413","title":"Improved Guarantees for Langevin Monte Carlo with Average Smoothness","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2102.04279","title":"Constrained Ensemble Langevin Monte Carlo","created":"2021-02-08","cited_by_count":1,"area":null},{"id":"2410.03760","title":"On the SAGA algorithm with decreasing step","created":"2024-10-02","cited_by_count":1,"area":null},{"id":"2102.04613","title":"A New Framework for Variance-Reduced Hamiltonian Monte Carlo","created":"2021-02-09","cited_by_count":0,"area":null},{"id":"2210.16189","title":"Preferential Subsampling for Stochastic Gradient Langevin Dynamics","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2401.13530","title":"Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space","created":"2024-01-24","cited_by_count":0,"area":null},{"id":"2407.12751","title":"Scalable Monte Carlo for Bayesian Learning","created":"2024-07-17","cited_by_count":0,"area":null}],"next_cursor":null}