Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models

    Sheng Peng, Pin-Yu Chen, Matthew Hull, Duen Chau p95692-95715 from Advances in Neural Information Processing Systems 37
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  • NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

    Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta p28706-28719 from Advances in Neural Information Processing Systems 37
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  • NCDL:  A Framework for Deep Learning on non-Cartesian Lattices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NCDL: A Framework for Deep Learning on non-Cartesian Lattices

    Joshua Horacsek, Usman Alim p79363-79375 from Advances in Neural Information Processing Systems 36
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  • NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching

    Souhaib Attaiki, Maks Ovsjanikov p28842-28857 from Advances in Neural Information Processing Systems 35
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  • Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs

    Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann p8785-8798 from Advances in Neural Information Processing Systems 35
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  • Near Optimal Reconstruction of Spherical Harmonic Expansions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near Optimal Reconstruction of Spherical Harmonic Expansions

    Amir Zandieh, Insu Han, Haim Avron p23968-23989 from Advances in Neural Information Processing Systems 36
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  • Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings

    Qijia Jiang p10191-10202 from Advances in Neural Information Processing Systems 35
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  • Near-Linear Time Algorithm for the Chamfer Distance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Linear Time Algorithm for the Chamfer Distance

    Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten p66833-66844 from Advances in Neural Information Processing Systems 36
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  • Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model

    Mark Rowland, Li Wenliang, Rémi Munos, Clare Lyle, Yunhao Tang, Will Dabney p132774-132823 from Advances in Neural Information Processing Systems 37
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  • Near-Optimal $k$-Clustering in the Sliding Window Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal $k$-Clustering in the Sliding Window Model

    David Woodruff, Peilin Zhong, Samson Zhou p22934-22960 from Advances in Neural Information Processing Systems 36
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  • Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression

    Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas p43384-43422 from Advances in Neural Information Processing Systems 36
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  • Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise

    Ilias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis p21793-21825 from Advances in Neural Information Processing Systems 36
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  • Near-Optimal Collaborative Learning in Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Collaborative Learning in Bandits

    Clémence Réda, Sattar Vakili, Emilie Kaufmann p14183-14195 from Advances in Neural Information Processing Systems 35
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  • Near-Optimal Correlation Clustering with Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Correlation Clustering with Privacy

    Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski p33702-33715 from Advances in Neural Information Processing Systems 35
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  • Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity

    Qihao Zhou, Haishan Ye, Luo Luo p28009-28050 from Advances in Neural Information Processing Systems 37
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  • Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms

    Pierre Clavier, Laixi Shi, Erwan Le Pennec, Eric Mazumdar, Adam Wierman, Matthieu Geist p1750-1810 from Advances in Neural Information Processing Systems 37
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  • Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs

    Long-Fei Li, Peng Zhao, Zhi-Hua Zhou p55858-55883 from Advances in Neural Information Processing Systems 37
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  • Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments

    Liyu Chen, Haipeng Luo p33973-33984 from Advances in Neural Information Processing Systems 35
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  • Near-optimal learning with average Hölder smoothness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-optimal learning with average Hölder smoothness

    Guy Kornowski, Steve Hanneke, Aryeh Kontorovich p21135-21157 from Advances in Neural Information Processing Systems 36
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  • Near-Optimal Multi-Agent Learning for Safe Coverage Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Multi-Agent Learning for Safe Coverage Control

    Manish Prajapat, Matteo Turchetta, Melanie Zeilinger, Andreas Krause p14998-15012 from Advances in Neural Information Processing Systems 35
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  • Near-Optimal No-Regret Learning Dynamics for General Convex Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal No-Regret Learning Dynamics for General Convex Games

    Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm p39076-39089 from Advances in Neural Information Processing Systems 35
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  • Near-Optimal Private and Scalable k-Clustering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Private and Scalable k-Clustering

    Vincent Cohen-Addad, Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong p10462-10475 from Advances in Neural Information Processing Systems 35
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  • Near-Optimal Randomized Exploration for Tabular Markov Decision Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Randomized Exploration for Tabular Markov Decision Processes

    Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon Du p6358-6371 from Advances in Neural Information Processing Systems 35
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  • Near-Optimal Regret Bounds for Multi-Batch Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Near-Optimal Regret Bounds for Multi-Batch Reinforcement Learning

    Zihan Zhang, Yuhang Jiang, Yuan Zhou, Xiangyang Ji p24586-24596 from Advances in Neural Information Processing Systems 35
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