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Social Welfare and Profit Maximization from Revealed Preferences., , и . WINE, том 11316 из Lecture Notes in Computer Science, стр. 264-281. Springer, (2018)Gradient descent follows the regularization path for general losses., , , и . COLT, том 125 из Proceedings of Machine Learning Research, стр. 2109-2136. PMLR, (2020)Actor-critic is implicitly biased towards high entropy optimal policies., , и . CoRR, (2021)VScript: Controllable Script Generation with Visual Presentation., , , , , , , , и . AACL/IJCNLP (System Demonstrations), стр. 1-8. Association for Computational Linguistics, (2022)Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training., , , , и . EACL, стр. 2128-2140. Association for Computational Linguistics, (2023)Risk and parameter convergence of logistic regression., и . CoRR, (2018)Gradient descent aligns the layers of deep linear networks., и . CoRR, (2018)Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks., и . ICLR, OpenReview.net, (2020)A refined primal-dual analysis of the implicit bias., и . CoRR, (2019)Think before you speak: Training Language Models With Pause Tokens., , , , , и . CoRR, (2023)