High Dimensional Bayesian Optimisation and Bandits via Additive Models
暂无分享,去创建一个
Kirthevasan Kandasamy | Barnabás Póczos | Jeff G. Schneider | J. Schneider | Kirthevasan Kandasamy | B. Póczos
[1] W. R. Thompson. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES , 1933 .
[2] J. Mockus,et al. Bayesian approach to global optimization and application to multiobjective and constrained problems , 1991 .
[3] C. D. Perttunen,et al. Lipschitzian optimization without the Lipschitz constant , 1993 .
[4] Jonas Mockus,et al. Application of Bayesian approach to numerical methods of global and stochastic optimization , 1994, J. Glob. Optim..
[5] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[6] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[7] Peter Auer,et al. Using Confidence Bounds for Exploitation-Exploration Trade-offs , 2003, J. Mach. Learn. Res..
[8] Adam Krzyzak,et al. A Distribution-Free Theory of Nonparametric Regression , 2002, Springer series in statistics.
[9] S. Ghosal,et al. Posterior consistency of Gaussian process prior for nonparametric binary regression , 2006, math/0702686.
[10] D. Parkinson,et al. Bayesian model selection analysis of WMAP3 , 2006, astro-ph/0605003.
[11] R. Nichol,et al. Cosmological constraints from the SDSS luminous red galaxies , 2006, astro-ph/0608632.
[12] Gregory S. Hornby,et al. Automated Antenna Design with Evolutionary Algorithms , 2006 .
[13] J. Lafferty,et al. Sparse additive models , 2007, 0711.4555.
[14] Nando de Freitas,et al. Active Policy Learning for Robot Planning and Exploration under Uncertainty , 2007, Robotics: Science and Systems.
[15] Tao Wang,et al. Automatic Gait Optimization with Gaussian Process Regression , 2007, IJCAI.
[16] Sham M. Kakade,et al. Information Consistency of Nonparametric Gaussian Process Methods , 2008, IEEE Transactions on Information Theory.
[17] Andreas Krause,et al. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting , 2009, IEEE Transactions on Information Theory.
[18] Alan Fern,et al. Batch Bayesian Optimization via Simulation Matching , 2010, NIPS.
[19] 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.
[20] Yoshua Bengio,et al. Algorithms for Hyper-Parameter Optimization , 2011, NIPS.
[21] Carl E. Rasmussen,et al. Additive Gaussian Processes , 2011, NIPS.
[22] Adam D. Bull,et al. Convergence Rates of Efficient Global Optimization Algorithms , 2011, J. Mach. Learn. Res..
[23] Nando de Freitas,et al. Portfolio Allocation for Bayesian Optimization , 2010, UAI.
[24] Carl E. Rasmussen,et al. Active Learning of Model Evidence Using Bayesian Quadrature , 2012, NIPS.
[25] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[26] Alexander J. Smola,et al. Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations , 2012, ICML.
[27] Misha Denil,et al. Learning Where to Attend with Deep Architectures for Image Tracking , 2011, Neural Computation.
[28] Andreas Krause,et al. Joint Optimization and Variable Selection of High-dimensional Gaussian Processes , 2012, ICML.
[29] Nando de Freitas,et al. Adaptive MCMC with Bayesian Optimization , 2012, AISTATS.
[30] David D. Cox,et al. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures , 2013, ICML.
[31] Nando de Freitas,et al. Bayesian Optimization in High Dimensions via Random Embeddings , 2013, IJCAI.
[32] Andreas Krause,et al. High-Dimensional Gaussian Process Bandits , 2013, NIPS.
[33] R. Tibshirani,et al. Generalized Additive Models , 1986 .
[34] Neil D. Lawrence,et al. Bayesian Optimization for Synthetic Gene Design , 2015, 1505.01627.
[35] Kirthevasan Kandasamy,et al. Bayesian active learning for posterior estimation , 2015 .
[36] Roman Garnett,et al. Active Pointillistic Pattern Search , 2015, AISTATS.
[37] Adrian Kaehler,et al. Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library , 2016 .