Paper

  • Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

    Alexander Bukharin, Ilgee Hong, Haoming Jiang, Yixiao Li, Zichong Li, Tianbao Yang, Tuo Zhao p107249-107269 from Advances in Neural Information Processing Systems 37
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  • Adaptive Principal Component Regression with Applications to Panel Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive Principal Component Regression with Applications to Panel Data

    Anish Agarwal, Keegan Harris, Justin Whitehouse, Steven Wu p77104-77118 from Advances in Neural Information Processing Systems 36
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  • Adaptive Privacy Composition for Accuracy-first Mechanisms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive Privacy Composition for Accuracy-first Mechanisms

    Aaditya Ramdas, Ryan Rogers, Gennady Samorodnitsk, Steven Wu p15833-15854 from Advances in Neural Information Processing Systems 36
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  • Adaptive Proximal Gradient Method for Convex Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive Proximal Gradient Method for Convex Optimization

    Yura Malitsky, Konstantin Mishchenko p100670-100697 from Advances in Neural Information Processing Systems 37
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  • Adaptive Radiative Collectors and Emitters (AD-RCE) to Improved the Efficiency of Heat Pumps

    ECOS 2023

    Adaptive Radiative Collectors and Emitters (AD-RCE) to Improved the Efficiency of Heat Pumps

    Marc Medrano Martorell, Roger Vilà, Jesús Monterrubio, Mohammed Reda Haddouche, Lídia Rincón p1668-1677 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences

    Mathias Lécuyer, Saiyue Lyu, Shadab Shaikh, Evan Shelhamer, Frederick Shpilevskiy p134043-134074 from Advances in Neural Information Processing Systems 37
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  • Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels

    Virginia De Sa, Ritik Raina, Srinivas Ravishankar, Yuan Tang, Vijay Veerabadran p18132-18145 from Advances in Neural Information Processing Systems 36
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  • Adaptive Sampling for Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive Sampling for Discovery

    Eunjae Shim, Ambuj Tewari, Ziping Xu, Paul Zimmerman p1114-1126 from Advances in Neural Information Processing Systems 35
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  • Adaptive Sampling for Efficient Softmax Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive Sampling for Efficient Softmax Approximation

    Tavor Baharav, Ryan Kang, Eric Luxenberg, Mert Pilanci, Colin Sullivan, Mo Tiwari, David Tse p117580-117613 from Advances in Neural Information Processing Systems 37
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  • Adaptive Selective Sampling for Online Prediction with Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive Selective Sampling for Online Prediction with Experts

    Rui Castro, Fredrik Hellström, Tim Van Erven p134-154 from Advances in Neural Information Processing Systems 36
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  • Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction

    Xiaowen Jiang, Sebastian Stich p26396-26424 from Advances in Neural Information Processing Systems 36
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  • Adaptive Stochastic Variance Reduction for Non-Convex Finite-Sum Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adaptive Stochastic Variance Reduction for Non-Convex Finite-Sum Minimization

    Kimon Antonakopoulos, Volkan Cevher, Leello Tadesse Dadi, Ali Kavis, Stratis Skoulakis p23524-23538 from Advances in Neural Information Processing Systems 35
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