Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • On the Inductive Bias of Stacking Towards Improving Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Inductive Bias of Stacking Towards Improving Reasoning

    Stefani Karp, Shankar Krishnan, Sanjiv Kumar, Sobhan Miryoosefi, Sashank Reddi, Nikunj Saunshi p71437-71464 from Advances in Neural Information Processing Systems 37
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  • On the Interplay between Social Welfare and Tractability of Equilibria

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Interplay between Social Welfare and Tractability of Equilibria

    Ioannis Anagnostides, Tuomas Sandholm p49927-49959 from Advances in Neural Information Processing Systems 36
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  • On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity

    Viktor Andersson, Rebecka Jörnsten, Balazs Kulcsar, Vincent Szolnoky p16319-16330 from Advances in Neural Information Processing Systems 35
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  • On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails

    Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang p21933-21944 from Advances in Neural Information Processing Systems 36
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  • On the Learnability of Multilabel Ranking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Learnability of Multilabel Ranking

    Vinod Raman, Unique Subedi, Ambuj Tewari p11988-11999 from Advances in Neural Information Processing Systems 36
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  • On the Learning Mechanisms in Physical Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Learning Mechanisms in Physical Reasoning

    Shiqian Li, Kewen Wu, Chi Zhang, Yixin Zhu p28252-28265 from Advances in Neural Information Processing Systems 35
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  • On the Limitations of Fractal Dimension as a Measure of Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Limitations of Fractal Dimension as a Measure of Generalization

    Michael Bronstein, Inés García-Redondo, Anthea Monod, Charlie Tan, Qiquan Wang p60309-60334 from Advances in Neural Information Processing Systems 37
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  • On the Limitations of Stochastic Pre-Processing Defenses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Limitations of Stochastic Pre-Processing Defenses

    Kassem Fawaz, Yue Gao, Nicolas Papernot, I Shumailov p24280-24294 from Advances in Neural Information Processing Systems 35
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  • On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice

    Shinji Ito p61793-61812 from Advances in Neural Information Processing Systems 37
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  • On the Minimax Regret for Online Learning with Feedback Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Minimax Regret for Online Learning with Feedback Graphs

    Nicolò Cesa-Bianchi, Tom Cesari, Khaled Eldowa, Emmanuel Esposito p46122-46133 from Advances in Neural Information Processing Systems 36
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  • On the Necessity of Collaboration for Online Model Selection with Decentralized Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Necessity of Collaboration for Online Model Selection with Decentralized Data

    Irwin King, Junfan Li, Zheshun Wu, Zenglin Xu p85583-85629 from Advances in Neural Information Processing Systems 37
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  • On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets

    Peng Cui, Jiashuo Liu, Hongseok Namkoong, Tianyu Wang p51371-51408 from Advances in Neural Information Processing Systems 36
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  • On the Noise Robustness of In-Context Learning for Text Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Noise Robustness of In-Context Learning for Text Generation

    Hongfu Gao, Wenyu Jiang, Jun Shu, Hongxin Wei, Feipeng Zhang, Feng Zheng p16569-16600 from Advances in Neural Information Processing Systems 37
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  • On the Non-Universality of Deep Learning: Quantifying the Cost of Symmetry

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Non-Universality of Deep Learning: Quantifying the Cost of Symmetry

    Emmanuel Abbe, Enric Boix-Adsera p17188-17201 from Advances in Neural Information Processing Systems 35
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  • On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization

    Peter Richtárik, Alexander Tyurin p122652-122705 from Advances in Neural Information Processing Systems 37
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  • On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games

    Zhiyuan Fan, Gabriele Farina, Christian Kroer p88373-88409 from Advances in Neural Information Processing Systems 37
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  • On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective

    Issei Sato, Masashi Sugiyama, Zeke Xie, Zhiqiang Xu, Jingzhao Zhang p1208-1228 from Advances in Neural Information Processing Systems 36
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  • On the Overlooked Structure of Stochastic Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Overlooked Structure of Stochastic Gradients

    Ping Li, Mingming Sun, Qian-Yuan Tang, Zeke Xie p66257-66276 from Advances in Neural Information Processing Systems 36
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  • On the Parameter Identifiability of Partially Observed Linear Causal Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Parameter Identifiability of Partially Observed Linear Causal Models

    Xinshuai Dong, Biwei Huang, Songyao Jin, Roberto Legaspi, Ignavier Ng, Peter Spirtes, Yuewen Sun, Kun Zhang p30740-30771 from Advances in Neural Information Processing Systems 37
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  • On the Parameterization and Initialization of Diagonal State Space Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Parameterization and Initialization of Diagonal State Space Models

    Karan Goel, Albert Gu, Ankit Gupta, Christopher Ré p35971-35983 from Advances in Neural Information Processing Systems 35
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  • On the Pareto Front of Multilingual Neural Machine Translation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Pareto Front of Multilingual Neural Machine Translation

    Baobao Chang, Liang Chen, Shuming Ma, Furu Wei, Dongdong Zhang p33188-33201 from Advances in Neural Information Processing Systems 36
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  • On the Planning Abilities of Large Language Models - A Critical Investigation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Planning Abilities of Large Language Models - A Critical Investigation

    Subbarao Kambhampati, Matthew Marquez, Sarath Sreedharan, Karthik Valmeekam p75993-76005 from Advances in Neural Information Processing Systems 36
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  • On the Power of Decision Trees in Auto-Regressive Language Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Power of Decision Trees in Auto-Regressive Language Modeling

    Tomer Galanti, Yulu Gan, Eran Malach, Tomaso Poggio p62384-62408 from Advances in Neural Information Processing Systems 37
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  • On the Power of Small-size Graph Neural Networks for Linear Programming

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Power of Small-size Graph Neural Networks for Linear Programming

    Tian Ding, Qian Li, Minghui Ouyang, Qingjiang Shi, Ruoyu Sun, Linxin Yang p38695-38719 from Advances in Neural Information Processing Systems 37
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