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A second-order method for convex l1-regularized optimization with active-set prediction., , , and . Optim. Methods Softw., 31 (3): 605-621 (2016)Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution., , , , , , , , , and . CoRR, (2021)Pretrained AI Models: Performativity, Mobility, and Change., , and . CoRR, (2019)The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs., , , and . EMNLP (1), page 6203-6207. Association for Computational Linguistics, (2020)Global Capacity Measures for Deep ReLU Networks via Path Sampling., , , , , and . CoRR, (2019)Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm., , , and . CoRR, (2020)adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs., and . ECML/PKDD (1), volume 9851 of Lecture Notes in Computer Science, page 1-16. Springer, (2016)Unsupervised Paraphrase Generation via Dynamic Blocking., , , , , and . CoRR, (2020)Regularizing and Optimizing LSTM Language Models., , and . ICLR (Poster), OpenReview.net, (2018)On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima, , , , and . (2016)cite arxiv:1609.04836Comment: Accepted as a conference paper at ICLR 2017.