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Auction Learning as a Two-Player Game.

, , и . ICLR, OpenReview.net, (2021)

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Mariem Jelassi

Joseph Selvaraj Samy

Mohamed Tayiser Mohamed Mousa Samy

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Towards closing the gap between the theory and practice of SVRG., , , , и . NeurIPS, стр. 646-656. (2019)A Permutation-Equivariant Neural Network Architecture For Auction Design., , , и . CoRR, (2020)A Permutation-Equivariant Neural Network Architecture For Auction Design., , , и . AAAI, стр. 5664-5672. AAAI Press, (2021)Extra-gradient with player sampling for provable fast convergence in n-player games., , , , и . CoRR, (2019)Neuron birth-death dynamics accelerates gradient descent and converges asymptotically., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 5508-5517. PMLR, (2019)Towards understanding how momentum improves generalization in deep learning., и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 9965-10040. PMLR, (2022)A Momentumized, Adaptive, Dual Averaged Gradient Method., и . J. Mach. Learn. Res., (2022)Q-Probe: A Lightweight Approach to Reward Maximization for Language Models., , , , , и . ICML, OpenReview.net, (2024)Algorithmic and architectural implicit biases in deep learning. Princeton University, USA, (2023)Auction Learning as a Two-Player Game., , и . ICLR, OpenReview.net, (2021)