Paper

  • Optimal Comparator Adaptive Online Learning with Switching Cost

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal Comparator Adaptive Online Learning with Switching Cost

    Zhiyu Zhang, Ashok Cutkosky, Yannis Paschalidis p23936-23950 from Advances in Neural Information Processing Systems 35
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  • Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes

    Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini p76496-76524 from Advances in Neural Information Processing Systems 36
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  • Optimal cross-learning for contextual bandits with unknown context distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal cross-learning for contextual bandits with unknown context distributions

    Jon Schneider, Julian Zimmert p51862-51880 from Advances in Neural Information Processing Systems 36
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  • Optimal deep learning of holomorphic operators between Banach spaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal deep learning of holomorphic operators between Banach spaces

    Ben Adcock, Nick Dexter, Sebastian Moraga p27725-27789 from Advances in Neural Information Processing Systems 37
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  • Optimal Design for Human Preference Elicitation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal Design for Human Preference Elicitation

    Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton p90132-90159 from Advances in Neural Information Processing Systems 37
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  • OPTIMAL DESIGN OF CENTRIFUGAL COMPRESSORS IN SMALL-SIZE HIGH-TEMPERATURE BRAYTON HEAT PUMPS

    ECOS 2024

    OPTIMAL DESIGN OF CENTRIFUGAL COMPRESSORS IN SMALL-SIZE HIGH-TEMPERATURE BRAYTON HEAT PUMPS

    Guido Francesco Frate, Matteo Benvenuti, Francesco Chini, Lorenzo Ferrari p358-369 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Optimal Design of Renewable Power-To-Hydrogen Systems for the Decarbonization of a Semiconductor Industry

    ECOS 2023

    Optimal Design of Renewable Power-To-Hydrogen Systems for the Decarbonization of a Semiconductor Industry

    Davide Trapani, Paolo Marocco, Marta Gandiglio, Massimo Santarelli p2523-2531 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Optimal Dynamic Regret in LQR Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal Dynamic Regret in LQR Control

    Dheeraj Baby, Yu-Xiang Wang p24879-24892 from Advances in Neural Information Processing Systems 35
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  • Optimal Efficiency-Envy Trade-Off Via Optimal Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal Efficiency-Envy Trade-Off Via Optimal Transport

    Steven Yin, Christian Kroer p25644-25654 from Advances in Neural Information Processing Systems 35
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  • Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression

    Ayoub El Hanchi, Murat Erdogdu p24368-24387 from Advances in Neural Information Processing Systems 36
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  • Optimal Exploration for Model-Based RL in Nonlinear Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal Exploration for Model-Based RL in Nonlinear Systems

    Andrew Wagenmaker, Guanya Shi, Kevin Jamieson p15406-15455 from Advances in Neural Information Processing Systems 36
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  • Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure

    Angela Yuan, Chris Junchi Li, Gauthier Gidel, Michael Jordan, Quanquan Gu, Simon Du p33338-33351 from Advances in Neural Information Processing Systems 36
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