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Disambiguation of "Rabbat, Mike"

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Learning with Gradient Descent and Weakly Convex Losses.

, and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1990-1998. PMLR, (2021)

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Sanna Rabbat

Anna Mikecz

Helmut Mikelskis

Heinz Miketta

Bernd Miketta

 

Other publications of authors with the same name

Privacy-aware compression for federated data analysis., , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 296-306. PMLR, (2022)Masked Siamese Networks for Label-Efficient Learning., , , , , , , , and . ECCV (31), volume 13691 of Lecture Notes in Computer Science, page 456-473. Springer, (2022)Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity., , , , , and . RecSys, page 156-167. ACM, (2022)CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery., , , , , , , , , and 1 other author(s). CoRR, (2020)Trade-offs of Local SGD at Scale: An Empirical Study., , , , and . CoRR, (2021)The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning., , , and . CoRR, (2022)PAPAYA: Practical, Private, and Scalable Federated Learning., , , , , , , , , and 4 other author(s). MLSys, mlsys.org, (2022)Papaya: Practical, Private, and Scalable Federated Learning., , , , , , , , , and 4 other author(s). CoRR, (2021)Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning., , , , and . NeurIPS, page 13299-13309. (2019)Learning with Gradient Descent and Weakly Convex Losses., and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1990-1998. PMLR, (2021)