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Stochastic Negative Mining for Learning with Large Output Spaces.

, , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1940-1949. PMLR, (2019)

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FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients., , , , , , and . CoRR, (2022)k-NN Regression on Functional Data with Incomplete Observations., and . UAI, page 692-701. AUAI Press, (2014)Fast stochastic optimization on Riemannian manifolds., , and . CoRR, (2016)Why ADAM Beats SGD for Attention Models., , , , , , and . CoRR, (2019)SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning., , , , , and . CoRR, (2019)Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets., , , , and . CoRR, (2020)Adaptive Federated Optimization., , , , , , , and . ICLR, OpenReview.net, (2021)Federated Composite Optimization., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 12253-12266. PMLR, (2021)Large Batch Optimization for Deep Learning: Training BERT in 76 minutes., , , , , , , , , and . ICLR, OpenReview.net, (2020)O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers., , , , , and . NeurIPS, (2020)