Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Depeweg, Stefan, Hernández-Lobato, José Miguel, Doshi-Velez, Finale, Udluft, Steffen
Year of Publication 23.05.2016
Year of Publication 23.05.2016
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Journal Article
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
Hernández-Lobato, José Miguel, Hoffman, Matthew W, Ghahramani, Zoubin
Year of Publication 10.06.2014
Year of Publication 10.06.2014
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Journal Article
Generative Active Learning for the Search of Small-molecule Protein Binders
Korablyov, Maksym, Cheng-Hao, Liu, Jain, Moksh, Almer M van der Sloot, Jolicoeur, Eric, Ruediger, Edward, Nica, Andrei Cristian, Bengio, Emmanuel, Lapchevskyi, Kostiantyn, St-Cyr, Daniel, Schuetz, Doris Alexandra, Butoi, Victor Ion, Rector-Brooks, Jarrid, Blackburn, Simon, Feng, Leo, Nekoei, Hadi, Gottipati, SaiKrishna, Vijayan, Priyesh, Gupta, Prateek, Rampášek, Ladislav, Avancha, Sasikanth, Bacon, Pierre-Luc, Hamilton, William L, Brooks, Paige, Misra, Sanchit, Stanislaw Kamil Jastrzebski, Kaul, Bharat, Precup, Doina, José Miguel Hernández-Lobato, Segler, Marwin, Bronstein, Michael, Marinier, Anne, Tyers, Mike, Bengio, Yoshua
Published in arXiv.org (02.05.2024)
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Published in arXiv.org (02.05.2024)
Paper
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
Bui, Thang D, Hernández-Lobato, Daniel, Li, Yingzhen, Hernández-Lobato, José Miguel, Turner, Richard E
Year of Publication 12.02.2016
Year of Publication 12.02.2016
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Journal Article
A General Framework for Constrained Bayesian Optimization using Information-based Search
Hernández-Lobato, José Miguel, Gelbart, Michael A, Adams, Ryan P, Hoffman, Matthew W, Ghahramani, Zoubin
Year of Publication 30.11.2015
Year of Publication 30.11.2015
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Journal Article
A Model to Search for Synthesizable Molecules
Bradshaw, John, Brooks, Paige, Kusner, Matt J, Marwin H S Segler, José Miguel Hernández-Lobato
Published in arXiv.org (04.12.2019)
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Published in arXiv.org (04.12.2019)
Paper
Deep Gaussian Processes with Decoupled Inducing Inputs
Marton Havasi, José Miguel Hernández-Lobato, Murillo-Fuentes, Juan José
Published in arXiv.org (09.01.2018)
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Published in arXiv.org (09.01.2018)
Paper
Predictive Entropy Search for Multi-objective Bayesian Optimization
Hernández-Lobato, Daniel, Hernández-Lobato, José Miguel, Shah, Amar, Adams, Ryan P
Year of Publication 17.11.2015
Year of Publication 17.11.2015
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Journal Article
Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation
Bui, Thang D, Hernández-Lobato, José Miguel, Li, Yingzhen, Hernández-Lobato, Daniel, Turner, Richard E
Year of Publication 11.11.2015
Year of Publication 11.11.2015
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Journal Article
Black-box $\alpha$-divergence Minimization
Hernández-Lobato, José Miguel, Li, Yingzhen, Rowland, Mark, Hernández-Lobato, Daniel, Bui, Thang, Turner, Richard E
Year of Publication 10.11.2015
Year of Publication 10.11.2015
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Journal Article
Stochastic Expectation Propagation for Large Scale Gaussian Process Classification
Hernández-Lobato, Daniel, Hernández-Lobato, José Miguel, Li, Yingzhen, Bui, Thang, Turner, Richard E
Year of Publication 10.11.2015
Year of Publication 10.11.2015
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Journal Article