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Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics., , и . ICLR, OpenReview.net, (2023)Hyperbolic Ordinal Embedding., , , , и . ACML, том 101 из Proceedings of Machine Learning Research, стр. 1065-1080. PMLR, (2019)Parameter Averaging for SGD Stabilizes the Implicit Bias towards Flat Regions., , и . CoRR, (2023)A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification., , , , и . CoRR, (2020)Accelerated Stochastic Gradient Descent for Minimizing Finite Sums.. CoRR, (2015)Refined Generalization Analysis of Gradient Descent for Over-parameterized Two-layer Neural Networks with Smooth Activations on Classification Problems., и . CoRR, (2019)Why is parameter averaging beneficial in SGD? An objective smoothing perspective., , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 3565-3573. PMLR, (2024)Improved Particle Approximation Error for Mean Field Neural Networks.. CoRR, (2024)Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees., и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2981-2991. PMLR, (2020)Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines., и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 470-478. PMLR, (2017)