Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Convergence Beyond the Over-Parameterized Regime Using Rayleigh Quotients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence Beyond the Over-Parameterized Regime Using Rayleigh Quotients

    Marc Lelarge, David A. R. Robin, Kevin Scaman p10725-10736 from Advances in Neural Information Processing Systems 35
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  • Convergence for Score-Based Generative Modeling with Polynomial Complexity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence for Score-Based Generative Modeling with Polynomial Complexity

    Holden Lee, Jianfeng Lu, Yixin Tan p22870-22882 from Advances in Neural Information Processing Systems 35
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  • Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis

    Ioannis Anagnostides, Tuomas Sandholm p125839-125878 from Advances in Neural Information Processing Systems 37
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  • Convergence of Actor-Critic with Multi-Layer Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence of Actor-Critic with Multi-Layer Neural Networks

    Alex Olshevsky, Yannis Paschalidis, Haoxing Tian p9279-9321 from Advances in Neural Information Processing Systems 36
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  • Convergence of Adam Under Relaxed Assumptions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence of Adam Under Relaxed Assumptions

    Ali Jadbabaie, Haochuan Li, Alexander Rakhlin p52166-52196 from Advances in Neural Information Processing Systems 36
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  • Convergence of Alternating Gradient Descent for Matrix Factorization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence of Alternating Gradient Descent for Matrix Factorization

    Tamara Kolda, Rachel Ward p22369-22382 from Advances in Neural Information Processing Systems 36
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  • Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction

    Atsushi Nitanda, Taiji Suzuki, Denny Wu p15545-15577 from Advances in Neural Information Processing Systems 36
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  • Convergence of No-Swap-Regret Dynamics in Self-Play

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence of No-Swap-Regret Dynamics in Self-Play

    Renato Leme, Georgios Piliouras, Jon Schneider p76210-76231 from Advances in Neural Information Processing Systems 37
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  • Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems

    Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis p27251-27280 from Advances in Neural Information Processing Systems 36
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  • Convergent Representations of Computer Programs in Human and Artificial Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergent Representations of Computer Programs in Human and Artificial Neural Networks

    Evelina Fedorenko, Anna Ivanova, Ben Lipkin, Una-May O'Reilly, Shashank Srikant p18834-18849 from Advances in Neural Information Processing Systems 35
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  • Convex and Non-convex Optimization Under Generalized Smoothness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convex and Non-convex Optimization Under Generalized Smoothness

    Ali Jadbabaie, Haochuan Li, Jian Qian, Alexander Rakhlin, Yi Tian p40238-40271 from Advances in Neural Information Processing Systems 36
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  • Convex-Concave Zero-Sum Markov Stackelberg Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convex-Concave Zero-Sum Markov Stackelberg Games

    Denizalp Goktas, Amy Greenwald, Arjun Prakash p66818-66832 from Advances in Neural Information Processing Systems 36
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  • Convexity Certificates from Hessians

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convexity Certificates from Hessians

    Joachim Giesen, Julien Klaus, Sören Laue, Niklas Merk, Konstantin Wiedom p6941-6953 from Advances in Neural Information Processing Systems 35
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  • Convolution Monge Mapping Normalization for learning on sleep data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convolution Monge Mapping Normalization for learning on sleep data

    Rémi Flamary, Théo Gnassounou, Alexandre Gramfort p10457-10476 from Advances in Neural Information Processing Systems 36
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  • Convolutional Differentiable Logic Gate Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convolutional Differentiable Logic Gate Networks

    Christian Borgelt, Stefano Ermon, Hilde Kuehne, Felix Petersen, Julian Welzel p121185-121203 from Advances in Neural Information Processing Systems 37
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  • Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

    Mingguo He, Zhewei Wei, Ji-Rong Wen p7264-7276 from Advances in Neural Information Processing Systems 35
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  • Convolutional Neural Operators for robust and accurate learning of PDEs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convolutional Neural Operators for robust and accurate learning of PDEs

    Rima Alaifari, Francesca Bartolucci, Emmanuel De Bézenac, Tim De Ryck, Siddhartha Mishra, Roberto Molinaro, Bogdan Raonic, Tobias Rohner p77187-77200 from Advances in Neural Information Processing Systems 36
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  • Convolutional State Space Models for Long-Range Spatiotemporal Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convolutional State Space Models for Long-Range Spatiotemporal Modeling

    Wonmin Byeon, Shalini De Mello, Jan Kautz, Scott Linderman, Jimmy Smith p80690-80729 from Advances in Neural Information Processing Systems 36
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  • Convolutional Visual Prompt for Robust Visual Perception

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convolutional Visual Prompt for Robust Visual Perception

    Chengzhi Mao, Yun-Yun Tsai, Junfeng Yang p27897-27921 from Advances in Neural Information Processing Systems 36
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  • Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods

    Felix Dangel p96671-96727 from Advances in Neural Information Processing Systems 37
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  • Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

    Liang-Chieh Chen, Xueqing Deng, Ju He, Xiaohui Shen, Qihang Yu p32215-32234 from Advances in Neural Information Processing Systems 36
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  • CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics

    Jinkun Cao, Jifeng Dai, Jiawei Gao, Xiaolin Hu, Si Liu, Jiangmiao Pang, Jingbo Wang, Tai Wang, Ziqin Wang, Zeqi Xiao p79741-79763 from Advances in Neural Information Processing Systems 37
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  • Cookie Consent Has Disparate Impact on Estimation Accuracy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cookie Consent Has Disparate Impact on Estimation Accuracy

    Elizabeth Daly, Erik Miehling, Rahul Nair, Karthikeyan Natesan Ramamurthy, Robert Redmond p34308-34328 from Advances in Neural Information Processing Systems 36
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  • COOM: A Game Benchmark for Continual Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    COOM: A Game Benchmark for Continual Reinforcement Learning

    Meng Fang, Mykola Pechenizkiy, Tristan Tomilin, Yudi Zhang p67794-67832 from Advances in Neural Information Processing Systems 36
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