Paper

  • Distributed Inverse Constrained Reinforcement Learning for Multi-Agent Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed Inverse Constrained Reinforcement Learning for Multi-Agent Systems

    Shicheng Liu, Minghui Zhu p33444-33456 from Advances in Neural Information Processing Systems 35
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  • Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space

    Heng Lian p11686-11696 from Advances in Neural Information Processing Systems 35
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  • Distributed Least Squares in Small Space via Sketching and Bias Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed Least Squares in Small Space via Sketching and Bias Reduction

    Sachin Garg, Kevin Tan, Michal Derezinski p73745-73782 from Advances in Neural Information Processing Systems 37
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  • Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees

    Aleksandr Beznosikov, Peter Richtarik, Michael Diskin, Max Ryabinin, Alexander Gasnikov p14013-14029 from Advances in Neural Information Processing Systems 35
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  • DISTRIBUTED MULTI-ENERGY SYSTEMS CONSIDERING POWER-TO-X TECHNOLOGY: PLANNING, SCHEDULING, AND PERFORMANCE ASSESSMENT

    ECOS 2024

    DISTRIBUTED MULTI-ENERGY SYSTEMS CONSIDERING POWER-TO-X TECHNOLOGY: PLANNING, SCHEDULING, AND PERFORMANCE ASSESSMENT

    Kai Xue, Jinshi Wang, Xiaoqu Han, Quanbin Zhao, Daotong Chong, Weixiong Chen, Junjie Yan p560-568 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Distributed Online Convex Optimization with Compressed Communication

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed Online Convex Optimization with Compressed Communication

    Zhipeng Tu, Xi Wang, Yiguang Hong, Lei Wang, Deming Yuan, Guodong Shi p34492-34504 from Advances in Neural Information Processing Systems 35
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  • Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity

    Bingqing Song, Ioannis Tsaknakis, Chung-Yiu Yau, Hoi-To Wai, Mingyi Hong p6147-6160 from Advances in Neural Information Processing Systems 35
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  • Distributed Personalized Empirical Risk Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed Personalized Empirical Risk Minimization

    Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi p70812-70846 from Advances in Neural Information Processing Systems 36
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  • Distributed-Order Fractional Graph Operating Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distributed-Order Fractional Graph Operating Network

    Kai Zhao, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding, Yanan Zhao, Wenfei Liang, Wee Peng Tay p103442-103475 from Advances in Neural Information Processing Systems 37
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  • Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation

    Zhiyi Pan, Wei Gao, Shan Liu, Ge Li p32400-32420 from Advances in Neural Information Processing Systems 37
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  • Distribution Learnability and Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution Learnability and Robustness

    Shai Ben-David, Alex Bie, Gautam Kamath, Tosca Lechner p52732-52758 from Advances in Neural Information Processing Systems 36
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  • Distribution Learning with Valid Outputs Beyond the Worst-Case

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Distribution Learning with Valid Outputs Beyond the Worst-Case

    Nick Rittler, Kamalika Chaudhuri p22850-22877 from Advances in Neural Information Processing Systems 37
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