mini-batch learning

Fair Model-based Clustering AAAI 2026 Online Bernstein-von Mises theorem JMLR 2026 GGD: Grafting Gradient Descent JMLR 2024 Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation ICLR 2024 Towards Sustainable Learning: Coresets for Data-efficient Deep Learning ICML 2023 Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation UAI 2022 Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters NeurIPS 2021 Minibatch Stochastic Approximate Proximal Point Methods NeurIPS 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 Fast Low-rank Metric Learning for Large-scale and High-dimensional Data NeurIPS 2019 Hypergraph Induced Convolutional Manifold Networks IJCAI 2019 Nonconvex Variance Reduced Optimization with Arbitrary Sampling ICML 2019 Towards closing the gap between the theory and practice of SVRG NeurIPS 2019 Learning with SGD and Random Features NeurIPS 2018