Paper

  • Approaching Human-Level Forecasting with Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Approaching Human-Level Forecasting with Language Models

    Danny Halawi, Jacob Steinhardt, Chen Yueh-Han, Fred Zhang p50426-50468 from Advances in Neural Information Processing Systems 37
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  • Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization

    Caio Kalil Lauand, Sean Meyn p15743-15756 from Advances in Neural Information Processing Systems 35
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  • Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders

    Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu, Lai Wei p68810-68832 from Advances in Neural Information Processing Systems 36
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  • Approximate Euclidean Lengths and Distances Beyond Johnson-Lindenstrauss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Approximate Euclidean Lengths and Distances Beyond Johnson-Lindenstrauss

    Mathieu Luisier, Aleksandros Sobczyk p19357-19369 from Advances in Neural Information Processing Systems 35
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  • Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent

    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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  • Approximate inference of marginals using the IBIA framework

    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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  • Approximate Secular Equations for the Cubic Regularization Subproblem

    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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  • Approximate Value Equivalence

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

    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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  • Approximately Equivariant Graph Networks

    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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  • Approximately Equivariant Neural Processes

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

    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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