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Linear Lower Bounds and Conditioning of Differentiable Games.

, , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 4583-4593. PMLR, (2020)

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Ibrahim M Adam

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Lower Bounds and Conditioning of Differentiable Games, , , и . (2019)cite arxiv:1906.07300Comment: Submitted to NeurIPS 2019.Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?, , , , , , , , и . CoRR, (2024)Adversarial Feature Desensitization., , , , , , , и . NeurIPS, стр. 10665-10677. (2021)Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound., , , и . NeurIPS, (2022)Linear Lower Bounds and Conditioning of Differentiable Games., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 4583-4593. PMLR, (2020)ARbis Pictus: A Study of Vocabulary Learning with Augmented Reality., , , , , и . IEEE Trans. Vis. Comput. Graph., 24 (11): 2867-2874 (2018)Towards Out-of-Distribution Adversarial Robustness., , , , , и . CoRR, (2022)A Study of Situated Product Recommendations in Augmented Reality., , , , и . AIVR, стр. 35-43. IEEE Computer Society, (2018)Zamba: A Compact 7B SSM Hybrid Model., , , , , , и . CoRR, (2024)Simple and Scalable Strategies to Continually Pre-train Large Language Models., , , , , , , и . Trans. Mach. Learn. Res., (2024)