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Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification., , , , and . ICLR, OpenReview.net, (2021)Skip-Gram - Zipf + Uniform = Vector Additivity., , and . ACL (1), page 69-76. Association for Computational Linguistics, (2017)Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 8774-8795. PMLR, (2022)Multiplicative Noise and Heavy Tails in Stochastic Optimization., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4262-4274. PMLR, (2021)Good Classifiers are Abundant in the Interpolating Regime., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3376-3384. PMLR, (2021)Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data., , and . CoRR, (2020)Unified Acceleration Method for Packing and Covering Problems via Diameter Reduction., , and . ICALP, volume 55 of LIPIcs, page 50:1-50:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent., , , , , , , and . CoRR, (2018)Mapping the Similarities of Spectra: Global and Locally-biased Approaches to SDSS Galaxy Data., , and . CoRR, (2016)Large batch size training of neural networks with adversarial training and second-order information., , , and . CoRR, (2018)