Paper

  • Quantum Algorithms for Non-smooth Non-convex Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Quantum Algorithms for Non-smooth Non-convex Optimization

    Chengchang Liu, Chaowen Guan, Jianhao He, John Lui p35288-35312 from Advances in Neural Information Processing Systems 37
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  • Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants

    Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang p23205-23217 from Advances in Neural Information Processing Systems 35
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  • Quantum Bayesian Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Quantum Bayesian Optimization

    Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet p20179-20207 from Advances in Neural Information Processing Systems 36
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  • Quantum Deep Equilibrium Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Quantum Deep Equilibrium Models

    Philipp Schleich, Marta Skreta, Lasse Kristensen, Rodrigo Vargas-Hernández, Alán Aspuru-Guzik p31940-31967 from Advances in Neural Information Processing Systems 37
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  • Quantum speedups for stochastic optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Quantum speedups for stochastic optimization

    Aaron Sidford, Chenyi Zhang p35300-35330 from Advances in Neural Information Processing Systems 36
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  • Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits

    Tongyang Li, Ruizhe Zhang p3152-3164 from Advances in Neural Information Processing Systems 35
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  • QUARK: Controllable Text Generation with Reinforced Unlearning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    QUARK: Controllable Text Generation with Reinforced Unlearning

    Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi p27591-27609 from Advances in Neural Information Processing Systems 35
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  • QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

    Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman p100213-100240 from Advances in Neural Information Processing Systems 37
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  • Quasi-Bayes meets Vines

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Quasi-Bayes meets Vines

    David Huk, Yuanhe Zhang, Mark Steel, Ritabrata Dutta p40359-40392 from Advances in Neural Information Processing Systems 37
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  • Quasi-Monte Carlo Graph Random Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Quasi-Monte Carlo Graph Random Features

    Isaac Reid, Krzysztof M Choromanski, Adrian Weller p14770-14796 from Advances in Neural Information Processing Systems 36
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  • Quasi-Newton Methods for Saddle Point Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Quasi-Newton Methods for Saddle Point Problems

    Chengchang Liu, Luo Luo p3975-3987 from Advances in Neural Information Processing Systems 35
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  • QUASI-STATIC CYCLIC TESTS OF NOVEL HIGH-PERFORMANCE SHEAR-CONNECTORS FOR MASS-TIMBER PANELS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    QUASI-STATIC CYCLIC TESTS OF NOVEL HIGH-PERFORMANCE SHEAR-CONNECTORS FOR MASS-TIMBER PANELS

    Blériot Vincent Feujofack Kemda, Cristiano Loss p1275-1282 from World Conference on Timber Engineering (WCTE 2023)
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