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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent

Alain Durmus, Kruno Lehman, Umut Simsekli p1426-1451 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximate inference of marginals using the IBIA framework

Shivani Bathla, Vinita Vasudevan p72679-72691 from Advances in Neural Information Processing Systems 36

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ECOS 2021 Program Organizers

Approximate Optimal Control for Heat Pumps in Building Energy Systems

Laura Maier, Sarah Henn, Philipp Mehrfeld and Dirk Müller p332-343 from 34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximate Secular Equations for the Cubic Regularization Subproblem

Yihang Gao, Michael Ng, Man-Chung Yue p14250-14260 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximate Value Equivalence

Andre Barreto, Christopher Grimm, Satinder Singh p33029-33040 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient

Siwei Lou, Shaoqi Wang, Chunjie Yang p42494-42527 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximately Equivariant Graph Networks

Ningyuan Huang, Ron Levie, Soledad Villar p34627-34660 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximately Equivariant Neural Processes

Matthew Ashman, Wessel Bruinsma, Cristiana Diaconu, Richard Turner, Adrian Weller p97088-97123 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering

Anna Arutyunova, Jan Eube, Heiko Röglin, Melanie Schmidt, Sarah Sturm, Julian Wargalla p109517-109581 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximating mutual information of high-dimensional variables using learned representations

Gokul Gowri, Allon Klein, Xiao-Kang Lun, Peng Yin p132843-132875 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximating the Top Eigenvector in Random Order Streams

Praneeth Kacham, David Woodruff p113461-113483 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Approximation Rate of the Transformer Architecture for Sequence Modeling

Haotian Jiang, Qianxiao Li p68926-68955 from Advances in Neural Information Processing Systems 37

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