Paper

  • MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

    Gholamreza Haffari, Yefei He, Akide Liu, Jing Liu, Zizheng Pan, Bohan Zhuang p139997-140031 from Advances in Neural Information Processing Systems 37
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  • Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

    Pablo Samuel Castro, Maxime Chevalier-Boisvert, Bolun Dai, Salem Lahlou, Suman Pal, Rodrigo Perez-Vicente, J Terry, Mark Towers, Lucas Willems p73383-73394 from Advances in Neural Information Processing Systems 36
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  • Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees

    Veronica Alvarez, Jose A. Lozano, Santiago Mazuelas p65678-65702 from Advances in Neural Information Processing Systems 36
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  • Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification

    Junya Honda, Junpei Komiyama, Taira Tsuchiya p10393-10404 from Advances in Neural Information Processing Systems 35
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  • Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning

    Zhishuai Liu, Pan Xu p86602-86654 from Advances in Neural Information Processing Systems 37
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  • Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits

    Vincent Tan, Junwen Yang p12253-12266 from Advances in Neural Information Processing Systems 35
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  • Minimax Optimal Online Imitation Learning Via Replay Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax Optimal Online Imitation Learning Via Replay Estimation

    J. Bagnell, Sanjiban Choudhury, Jiantao Jiao, Matt Peng, Nived Rajaraman, Kannan Ramchandran, Gokul Swamy, Steven Wu p7077-7088 from Advances in Neural Information Processing Systems 35
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  • Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models

    Dat Do, Nhat Ho, Huy Nguyen, Khai Nguyen p30096-30133 from Advances in Neural Information Processing Systems 36
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  • Minimax Regret for Cascading Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax Regret for Cascading Bandits

    Sujay Sanghavi, Sanjay Shakkottai, R. Srikant, Daniel Vial p29126-29138 from Advances in Neural Information Processing Systems 35
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  • Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy

    Jeongyoun Ahn, Bonwoo Lee, Cheolwoo Park p57964-57975 from Advances in Neural Information Processing Systems 36
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  • Minimax-Optimal Location Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax-Optimal Location Estimation

    Shivam Gupta, Jasper Lee, Eric Price, Paul Valiant p900-915 from Advances in Neural Information Processing Systems 36
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  • Minimax-Optimal Multi-Agent RL in Markov Games with a Generative Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Minimax-Optimal Multi-Agent RL in Markov Games with a Generative Model

    Yuxin Chen, Yuejie Chi, Gen Li, Yuting Wei p15353-15367 from Advances in Neural Information Processing Systems 35
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