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Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression., , , , and . CoRR, (2021)Programmable packet scheduling with a single queue., , , , , , , and . SIGCOMM, page 179-193. ACM, (2021)On the Noisy Gradient Descent that Generalizes as SGD., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10367-10376. PMLR, (2020)Automatic Cloud Segmentation Based on Fused Fully Convolutional Networks., , and . ICIC (1), volume 11643 of Lecture Notes in Computer Science, page 520-528. Springer, (2019)Direction Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate., , , and . CoRR, (2020)Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning., , and . CoRR, (2020)Private Federated Frequency Estimation: Adapting to the Hardness of the Instance., , , and . CoRR, (2023)Fixed Design Analysis of Regularization-Based Continual Learning., , and . CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 513-533. PMLR, (2023)Benign Overfitting of Constant-Stepsize SGD for Linear Regression., , , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 4633-4635. PMLR, (2021)Obtaining Adjustable Regularization for Free via Iterate Averaging., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10344-10354. PMLR, (2020)