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Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference., , and . CoRR, (2018)SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points.. NeurIPS, page 1521-1531. (2019)Gradient Boosting with Piece-Wise Linear Regression Trees., , and . IJCAI, page 3432-3438. ijcai.org, (2019)Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression., , and . CoRR, (2023)PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 6286-6295. PMLR, (2021)On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs., , , and . NIPS, page 1036-1044. (2015)SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression., , , and . NeurIPS, (2022)BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression., , , , and . NeurIPS, (2022)A unified variance-reduced accelerated gradient method for convex optimization., , and . NeurIPS, page 10462-10472. (2019)Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5895-5904. PMLR, (2020)