Batch Bayesian optimization via adaptive local search
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[1] Wei-Yun Yau,et al. Structured AutoEncoders for Subspace Clustering , 2018, IEEE Transactions on Image Processing.
[2] T. J. Mitchell,et al. Exploratory designs for computational experiments , 1995 .
[3] O. A. Elwakeil,et al. Global optimization methods for engineering applications: A review , 1995 .
[4] Sungyoung Lee,et al. Gaussian process for predicting CPU utilization and its application to energy efficiency , 2015, Applied Intelligence.
[5] R. Lyons. Determinantal probability measures , 2002, math/0204325.
[6] Nicolas Vayatis,et al. Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration , 2013, ECML/PKDD.
[7] T. Shirai,et al. Random point fields associated with certain Fredholm determinants I: fermion, Poisson and boson point processes , 2003 .
[8] Jeong‐Soo Park. Optimal Latin-hypercube designs for computer experiments , 1994 .
[9] Nando de Freitas,et al. A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot , 2009, Auton. Robots.
[10] Cheng Li,et al. Filtering Bayesian optimization approach in weakly specified search space , 2018, Knowledge and Information Systems.
[11] Jianxiang Xi,et al. Robust time-varying formation design for multi-agent systems with disturbances: Extended-state-observer method , 2019, ArXiv.
[12] Hamido Fujita,et al. Robust Model Fitting Based on Greedy Search and Specified Inlier Threshold , 2019, IEEE Transactions on Industrial Electronics.
[13] Gerald Penn,et al. Convolutional Neural Networks for Speech Recognition , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[14] Hamido Fujita,et al. Decision support system for arrhythmia prediction using convolutional neural network structure without preprocessing , 2019, Applied Intelligence.
[15] Peter Auer,et al. Using Confidence Bounds for Exploitation-Exploration Trade-offs , 2003, J. Mach. Learn. Res..
[16] Jorge Nocedal,et al. On the limited memory BFGS method for large scale optimization , 1989, Math. Program..
[17] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[18] Sonja Georgievska,et al. fMLC: fast multi-level clustering and visualization of large molecular datasets , 2018, Bioinform..
[19] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[20] Andreas Krause,et al. Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization , 2012, ICML.
[21] Harold J. Kushner,et al. A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise , 1964 .
[22] Nando de Freitas,et al. Taking the Human Out of the Loop: A Review of Bayesian Optimization , 2016, Proceedings of the IEEE.
[23] David Ginsbourger,et al. Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection , 2013, LION.
[24] G. T. Timmer,et al. Stochastic global optimization methods part I: Clustering methods , 1987, Math. Program..
[25] Hao Wang,et al. Cluster-based Kriging approximation algorithms for complexity reduction , 2017, Applied Intelligence.
[26] András György,et al. Efficient Multi-Start Strategies for Local Search Algorithms , 2009, J. Artif. Intell. Res..
[27] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[28] Jonas Mockus,et al. On Bayesian Methods for Seeking the Extremum , 1974, Optimization Techniques.
[29] Tara N. Sainath,et al. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups , 2012, IEEE Signal Processing Magazine.
[30] Qing-Long Han,et al. Distributed Optimization for Multiagent Systems: An Edge-Based Fixed-Time Consensus Approach , 2019, IEEE Transactions on Cybernetics.
[31] D. Ginsbourger,et al. A benchmark of kriging-based infill criteria for noisy optimization , 2013, Structural and Multidisciplinary Optimization.
[32] L. Wasserman,et al. A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion , 1995 .
[33] M. D. McKay,et al. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .
[34] Hamido Fujita,et al. Efficient Robust Model Fitting for Multistructure Data Using Global Greedy Search , 2020, IEEE Transactions on Cybernetics.
[35] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[36] Shuzhi Sam Ge,et al. Small traffic sign detection from large image , 2019, Applied Intelligence.
[37] U. Rajendra Acharya,et al. Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals , 2017, Inf. Sci..
[38] Michael Muma,et al. Gravitational Clustering: A Simple, Robust and Adaptive Approach for Distributed Networks , 2018, Signal Process..