Structured Variationally Auto-encoded Optimization
暂无分享,去创建一个
Neil D. Lawrence | Zhenwen Dai | Xiaoyu Lu | Javier González | Neil D. Lawrence | Zhenwen Dai | Javier I. González | Xiaoyu Lu
[1] Neil D. Lawrence,et al. Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes , 2016, J. Mach. Learn. Res..
[2] Neil D. Lawrence,et al. Bayesian Optimization for Synthetic Gene Design , 2015, 1505.01627.
[3] Christopher K. I. Williams,et al. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) , 2005 .
[4] Roman Garnett,et al. Bayesian optimization for automated model selection , 2016, NIPS.
[5] Yee Whye Teh,et al. Scalable Structure Discovery in Regression using Gaussian Processes , 2016, AutoML@ICML.
[6] Jonas Mockus,et al. On Bayesian Methods for Seeking the Extremum and their Application , 1977, IFIP Congress.
[7] Matthias W. Seeger,et al. Bayesian Optimization with Tree-structured Dependencies , 2017, ICML.
[8] Nando de Freitas,et al. Taking the Human Out of the Loop: A Review of Bayesian Optimization , 2016, Proceedings of the IEEE.
[9] Jaesik Choi,et al. The Automatic Statistician: A Relational Perspective , 2015, ArXiv.
[10] Nando de Freitas,et al. Bayesian Optimization in a Billion Dimensions via Random Embeddings , 2013, J. Artif. Intell. Res..
[11] Joshua B. Tenenbaum,et al. Exploiting compositionality to explore a large space of model structures , 2012, UAI.
[12] Neil D. Lawrence,et al. Variational Auto-encoded Deep Gaussian Processes , 2015, ICLR.
[13] Matt J. Kusner,et al. Grammar Variational Autoencoder , 2017, ICML.
[14] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[15] Michael A. Osborne,et al. Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces , 2014, 1409.4011.
[16] Alán Aspuru-Guzik,et al. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules , 2016, ACS central science.
[17] Jeffrey D. Ullman,et al. Introduction to automata theory, languages, and computation, 2nd edition , 2001, SIGA.
[18] Michael A. Osborne,et al. AdaGeo: Adaptive Geometric Learning for Optimization and Sampling , 2018, AISTATS.
[19] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[20] Jeffrey D. Ullman,et al. Introduction to Automata Theory, Languages and Computation , 1979 .