Paper

  • A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models

    Antoine Chambaz, Alexander Reisach, Christof Seiler, Myriam Tami, Sebastian Weichwald p785-807 from Advances in Neural Information Processing Systems 36
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  • A SCENARIO APPROACH TO OPTIMIZE RESOURCES DISPATCH AND MARKET BIDDING STRATEGY WITHIN A MULTI-ENERGY SYSTEM

    ECOS 2024

    A SCENARIO APPROACH TO OPTIMIZE RESOURCES DISPATCH AND MARKET BIDDING STRATEGY WITHIN A MULTI-ENERGY SYSTEM

    Alberto Vannoni, Edoardo Corsetti p2458-2469 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • A Seasonal Assessment of a Hybrid Combined Heat and Power System with Green Hydrogen Storage in Rio De Janeiro (Brazil) Through an Energetic, Exergetic, Exergoeconomic, and Environmental Analysis

    ECOS 2023

    A Seasonal Assessment of a Hybrid Combined Heat and Power System with Green Hydrogen Storage in Rio De Janeiro (Brazil) Through an Energetic, Exergetic, Exergoeconomic, and Environmental Analysis

    José Eduardo Carvalho, Remi Revellin, Romuald Rulliere, Florian Pradelle p1387-1398 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • A SEISMIC RESPONSE ESTIMATION MODEL FOR CROSS-LAMINATED TIMBER WALLS USING MACHINE LEARNING

    World Conference on Timber Engineering 2023 (WCTE 2023)

    A SEISMIC RESPONSE ESTIMATION MODEL FOR CROSS-LAMINATED TIMBER WALLS USING MACHINE LEARNING

    Eknara Junda, Christian Malaga-Chuquitaype p2214-2220 from World Conference on Timber Engineering (WCTE 2023)
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  • A Self-Reflection on Lab Mentoring Practices for a Diverse Lab Group

    Research In Engineering Education Network

    A Self-Reflection on Lab Mentoring Practices for a Diverse Lab Group

    Casey Haney, Claudio Freitas, Brenden Dinkard-McFarland, Moses Olayemi, Aziz Dridi, Alessandra Napoli, Fernando Perez, Dhinesh Radhakrishnan, Jennifer DeBoer p933-941 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers

    Krishnakumar Balasubramanian, Murat Erdogdu, Ye He, Alireza Mousavi-Hosseini p65260-65296 from Advances in Neural Information Processing Systems 37
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  • A Sharp NMF Result with Applications in Network Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Sharp NMF Result with Applications in Network Modeling

    Jiashun Jin p18628-18639 from Advances in Neural Information Processing Systems 35
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  • A Siamese Transformer with Hierarchical Refinement for Lane Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Siamese Transformer with Hierarchical Refinement for Lane Detection

    Danny Chen, Dong Han, Zinan Lv, Wenzhe Wang p40892-40912 from Advances in Neural Information Processing Systems 37
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  • A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds

    Shinji Ito, Taira Tsuchiya p8477-8514 from Advances in Neural Information Processing Systems 37
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  • A Simple and Optimal Approach for Universal Online Learning with Gradient Variations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Simple and Optimal Approach for Universal Online Learning with Gradient Variations

    Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou p11132-11163 from Advances in Neural Information Processing Systems 37
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  • A Simple and Optimal Policy Design for Online Learning with Safety Against Heavy-Tailed Risk

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Simple and Optimal Policy Design for Online Learning with Safety Against Heavy-Tailed Risk

    David Simchi-Levi, Zeyu Zheng, Feng Zhu p33795-33805 from Advances in Neural Information Processing Systems 35
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  • A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits

    Quanquan Gu, Jiafan He, Yifei Min, Tianhao Wang p4762-4775 from Advances in Neural Information Processing Systems 35
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