Paper

  • 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

    Emilie Kaufmann, Clémence Réda, Sattar Vakili 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

    Luo Luo, Haishan Ye, Qihao Zhou 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, Matthieu Geist, Erwan Le Pennec, Eric Mazumdar, Laixi Shi, Adam Wierman 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

    Steve Hanneke, Aryeh Kontorovich, Guy Kornowski 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

    Andreas Krause, Manish Prajapat, Matteo Turchetta, Melanie Zeilinger 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

    Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Tuomas Sandholm p39076-39089 from Advances in Neural Information Processing Systems 35
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