Works matching DE "REGRET bounds (Mathematics)"
Results: 17
Surrogate regret bounds for generalized classification performance metrics.
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- Machine Learning, 2017, v. 106, n. 4, p. 549, doi. 10.1007/s10994-016-5591-7
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Calibration and regret bounds for order-preserving surrogate losses in learning to rank.
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- Machine Learning, 2013, v. 93, n. 2-3, p. 227, doi. 10.1007/s10994-013-5382-3
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Bounds for the second Hankel determinant of certain bi-univalent functions.
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- Turkish Journal of Mathematics, 2016, v. 40, n. 3, p. 679, doi. 10.3906/mat-1505-3
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Regret Theory: A Bold Alternative to the Alternatives.
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- Economic Journal, 2015, v. 125, n. 583, p. 493, doi. 10.1111/ecoj.12200
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Regret Bounds for Reinforcement Learning via Markov Chain Concentration.
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- Journal of Artificial Intelligence Research, 2020, v. 67, p. 115, doi. 10.1613/jair.1.11316
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Revisiting CFR<sup>+</sup> and Alternating Updates.
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- Journal of Artificial Intelligence Research, 2019, v. 64, p. 429, doi. 10.1613/jair.1.11370
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A CONTINUOUS-TIME APPROACH TO ONLINE OPTIMIZATION.
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- Journal of Dynamics & Games, 2017, v. 4, n. 2, p. 125, doi. 10.3934/jdg.2017008
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Hedge against total flow time uncertainty of the uniform parallel machine scheduling problem with interval data.
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- International Journal of Production Research, 2014, v. 52, n. 19, p. 5611, doi. 10.1080/00207543.2014.887865
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On some inequalities of the Bateman's G-function.
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- Journal of Computational Analysis & Applications, 2017, v. 22, n. 1, p. 672
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Density of Rational Points on a Certain Smooth Bihomogeneous Threefold.
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- IMRN: International Mathematics Research Notices, 2015, v. 2015, n. 21, p. 10703, doi. 10.1093/imrn/rnu255
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Adaptive Execution: Exploration and Learning of Price Impact.
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- Operations Research, 2015, v. 63, n. 5, p. 1058, doi. 10.1287/opre.2015.1415
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Understanding Perceived Trust to Reduce Regret.
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- Computational Intelligence, 2015, v. 31, n. 2, p. 327, doi. 10.1111/coin.12025
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Regret theory and the competitive firm revisited.
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- Eurasian Economic Review, 2016, v. 6, n. 3, p. 481, doi. 10.1007/s40822-016-0053-x
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Global weak large solutions to 1D compressible Navier-Stokes equations with density-dependent viscosity.
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- Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao, 2012, v. 25, n. 4, p. 429
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Optimize, satisfice, or choose without deliberation? A simple minimax-regret assessment.
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- Theory & Decision, 2017, v. 83, n. 2, p. 155, doi. 10.1007/s11238-017-9592-1
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Sparsity Regret Bounds for Individual Sequences in Online Linear Regression.
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- Journal of Machine Learning Research, 2013, v. 14, n. 3, p. 729
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Approaches to Pythagorean Fuzzy Stochastic Multi-criteria Decision Making Based on Prospect Theory and Regret Theory with New Distance Measure and Score Function.
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- International Journal of Intelligent Systems, 2017, v. 32, n. 11, p. 1187, doi. 10.1002/int.21896
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