Sotabase

Career

· Professor, Princeton University2018–
· Professor of Computer Science, Director, Program in Statistics and Machine Learning, Princeton University2018–
· Research Scientist, Google2016–2018
· Head of Advanced Technology Group, Twitter2015–2016
· Assistant Professor, Harvard University2011–2016
· Postdoctoral Researcher, University of Toronto2009–2011
· Bachelor of Science in Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)2004–
· PhD Student, University of Cambridge2004–2009

Publications (427)

Practical Bayesian Optimization of Machine Learning Algorithms
Neural Information Processing Systems · 2012
8,893
cited
Taking the Human Out of the Loop: A Review of Bayesian Optimization
Proceedings of the IEEE · 2016
5,123
cited
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Neural Information Processing Systems · 2015
3,553
cited
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
ACS Central Science · 2016
3,267
cited
Scalable Bayesian Optimization Using Deep Neural Networks
International Conference on Machine Learning · 2015
1,110
cited
Gradient-based Hyperparameter Optimization through Reversible Learning
International Conference on Machine Learning · 2015
1,010
cited
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
International Conference on Machine Learning · 2015
994
cited
Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach.
Nature Materials · 2016
877
cited
Bayesian Online Changepoint Detection
2007
841
cited
Multi-Task Bayesian Optimization
Neural Information Processing Systems · 2013
809
cited
Bayesian reaction optimization as a tool for chemical synthesis
Nature · 2021
704
cited
Mapping Sub-Second Structure in Mouse Behavior
Neuron · 2015
687
cited
Gaussian Process Kernels for Pattern Discovery and Extrapolation
International Conference on Machine Learning · 2013
647
cited
Bayesian Optimization with Unknown Constraints
Conference on Uncertainty in Artificial Intelligence · 2014
511
cited
Composing graphical models with neural networks for structured representations and fast inference
Neural Information Processing Systems · 2016
504
cited
Elliptical slice sampling
International Conference on Artificial Intelligence and Statistics · 2009
498
cited
Spectral Representations for Convolutional Neural Networks
Neural Information Processing Systems · 2015
381
cited
Discovering Latent Network Structure in Point Process Data
International Conference on Machine Learning · 2014
284
cited
Freeze-Thaw Bayesian Optimization
arXiv.org · 2014
283
cited
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems
International Conference on Artificial Intelligence and Statistics · 2017
268
cited
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