Paper

  • Local Linear Convergence of Gradient Methods for Subspace Optimization Via Strict Complementarity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Linear Convergence of Gradient Methods for Subspace Optimization Via Strict Complementarity

    Ron Fisher, Dan Garber p30486-30498 from Advances in Neural Information Processing Systems 35
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  • Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs

    Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli p75986-76029 from Advances in Neural Information Processing Systems 37
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  • Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions

    Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim p3913-3925 from Advances in Neural Information Processing Systems 35
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  • Local Spatiotemporal Representation Learning for Longitudinally-Consistent Neuroimage Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Spatiotemporal Representation Learning for Longitudinally-Consistent Neuroimage Analysis

    Mengwei Ren, Neel Dey, Martin Styner, Kelly Botteron, Guido Gerig p13541-13556 from Advances in Neural Information Processing Systems 35
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  • Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning

    Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li p20858-20886 from Advances in Neural Information Processing Systems 37
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  • Local to Global: Learning Dynamics and Effect of Initialization for Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local to Global: Learning Dynamics and Effect of Initialization for Transformers

    Ashok Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar p86243-86308 from Advances in Neural Information Processing Systems 37
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  • Local-Global MCMC Kernels: The Best of Both Worlds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local-Global MCMC Kernels: The Best of Both Worlds

    Sergey Samsonov, Evgeny Lagutin, Marylou Gabrié, Alain Durmus, Alexey Naumov, Eric Moulines p5178-5193 from Advances in Neural Information Processing Systems 35
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  • Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search

    Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De p56352-56383 from Advances in Neural Information Processing Systems 36
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  • Locality-Aware Generalizable Implicit Neural Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Locality-Aware Generalizable Implicit Neural Representation

    Doyup Lee, Chiheon Kim, Minsu Cho, Wook Shin Han p48363-48381 from Advances in Neural Information Processing Systems 36
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  • Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner

    Xing Cui, Peipei Li, Zekun Li, Xuannan Liu, Yueying Zou, Zhaofeng He p35084-35109 from Advances in Neural Information Processing Systems 37
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  • Localized Adaptive Risk Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Localized Adaptive Risk Control

    Matteo Zecchin, Osvaldo Simeone p8165-8192 from Advances in Neural Information Processing Systems 37
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  • Localized Symbolic Knowledge Distillation for Visual Commonsense Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Localized Symbolic Knowledge Distillation for Visual Commonsense Models

    Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi p11338-11352 from Advances in Neural Information Processing Systems 36
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