暂无分享,去创建一个
Nando de Freitas | Ziyu Wang | John-Alexander M. Assael | Ziyun Wang | N. D. Freitas | Yannis Assael
[1] Ali Jalali,et al. Hybrid Batch Bayesian Optimization , 2012, ICML.
[2] Yoshua Bengio,et al. Algorithms for Hyper-Parameter Optimization , 2011, NIPS.
[3] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[4] Kevin Leyton-Brown,et al. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms , 2012, KDD.
[5] Jasper Snoek,et al. Input Warping for Bayesian Optimization of Non-Stationary Functions , 2014, ICML.
[6] Francis R. Bach,et al. Online Learning for Latent Dirichlet Allocation , 2010, NIPS.
[7] Andreas Krause,et al. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting , 2009, IEEE Transactions on Information Theory.
[8] Kevin Miller,et al. Max-Margin Min-Entropy Models , 2012, AISTATS.
[9] Robert B. Gramacy,et al. Bayesian treed gaussian process models , 2005 .
[10] Jiangtao Wu,et al. A Novel Portable Absolute Transient Hot-Wire Instrument for the Measurement of the Thermal Conductivity of Solids , 2015 .
[11] G. Shaddick,et al. Modeling Nonstationary Processes Through Dimension Expansion , 2010, 1011.2553.
[12] Nando de Freitas,et al. Bayesian Multi-Scale Optimistic Optimization , 2014, AISTATS.
[13] David Higdon,et al. Non-Stationary Spatial Modeling , 2022, 2212.08043.
[14] J. Mockus,et al. The Bayesian approach to global optimization , 1989 .
[15] Matthew W. Hoffman,et al. An Entropy Search Portfolio for Bayesian Optimization , 2014, ArXiv.
[16] P. Guttorp,et al. Nonparametric Estimation of Nonstationary Spatial Covariance Structure , 1992 .
[17] Nando de Freitas,et al. Adaptive Hamiltonian and Riemann manifold Monte Carlo samplers , 2013, ICML 2013.
[18] Richard E. Turner,et al. Tree-structured Gaussian Process Approximations , 2014, NIPS.
[19] Kevin Leyton-Brown,et al. Sequential Model-Based Optimization for General Algorithm Configuration , 2011, LION.
[20] 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.
[21] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[22] Shinichi Morishita,et al. On Classification and Regression , 1998, Discovery Science.
[23] Ryan P. Adams,et al. Gaussian process product models for nonparametric nonstationarity , 2008, ICML '08.
[24] Nando de Freitas,et al. On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning , 2014, AISTATS.
[25] Katharina Eggensperger,et al. Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters , 2013 .
[26] Donald R. Jones,et al. A Taxonomy of Global Optimization Methods Based on Response Surfaces , 2001, J. Glob. Optim..
[27] A. O'Hagan,et al. Bayesian inference for non‐stationary spatial covariance structure via spatial deformations , 2003 .
[28] Thorsten Joachims,et al. Learning structural SVMs with latent variables , 2009, ICML '09.
[29] Robert B. Gramacy,et al. Parameter space exploration with Gaussian process trees , 2004, ICML.
[30] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[31] Nando de Freitas,et al. A Bayesian interactive optimization approach to procedural animation design , 2010, SCA '10.
[32] Nando de Freitas,et al. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning , 2010, ArXiv.
[33] Roman Garnett,et al. Bayesian optimization for sensor set selection , 2010, IPSN '10.
[34] Misha Denil,et al. Narrowing the Gap: Random Forests In Theory and In Practice , 2013, ICML.
[35] David B. Dunson,et al. Multiresolution Gaussian Processes , 2012, NIPS.
[36] D. Lizotte. Practical bayesian optimization , 2008 .
[37] Nando de Freitas,et al. Active Preference Learning with Discrete Choice Data , 2007, NIPS.
[38] Carl E. Rasmussen,et al. Warped Gaussian Processes , 2003, NIPS.
[39] Nando de Freitas,et al. Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters , 2014, ArXiv.
[40] Fabio Tozeto Ramos,et al. Bayesian optimisation for Intelligent Environmental Monitoring , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[41] M. Newton. Approximate Bayesian-inference With the Weighted Likelihood Bootstrap , 1994 .
[42] Nando de Freitas,et al. Portfolio Allocation for Bayesian Optimization , 2010, UAI.
[43] Philipp Hennig,et al. Entropy Search for Information-Efficient Global Optimization , 2011, J. Mach. Learn. Res..