Matthew W. Hoffman

I’m currently a research scientist at Google DeepMind and until recently I was a postdoctoral researcher in the machine learning group at the University of Cambridge. I work on probabilistic approaches to sequential decision making and optimization.

Recent News

• August 12, 2016. Our paper on Learning to learn by gradient descent by gradient descent was accepted at NIPS 2016. See you in Barcelona!

• January 1, 2016. I have accepted a position as a research scientist at Google DeepMind and am excited to join this coming March!

• December 12, 2015. I spoke at the NIPS workshop on Bayesian optimization and presented recent work on output-space PES.

Recent publications and preprints

1. Andrychowicz, M., Denil, M., Gomez, S., Hoffman, M. W., Pfau, D., Schaul, T., & de Freitas, N. (2016). Learning to learn by gradient descent by gradient descent. In Neural Information Processing Systems. [pdf] [bibtex]

   @inproceedings{andrychowicz:2016,
     title = {Learning to learn by gradient descent by gradient descent},
     author = {Andrychowicz, Marcin and Denil, Misha and Gomez, Sergio and Hoffman, Matthew W. and Pfau, David and Schaul, Tom and de Freitas, Nando},
     booktitle = {Neural Information Processing Systems},
     year = {2016},
     link = {https://arxiv.org/pdf/1606.04474.pdf}
   }
   

2. Hoffman, M. W., & Ghahramani, Z. (2015). Output-Space Predictive Entropy Search for Flexible Global Optimization. In the NIPS workshop on Bayesian optimization. [pdf] [bibtex]

   @inproceedings{hoffman:2015,
     title = {Output-Space Predictive Entropy Search for Flexible Global
                 Optimization},
     author = {Hoffman, Matthew W. and Ghahramani, Zoubin},
     booktitle = {the NIPS workshop on Bayesian optimization},
     year = {2015}
   }
   

3. Hernández-Lobato, J. M., Gelbart, M. A., Hoffman, M. W., Adams, R. P., & Ghahramani, Z. (2015). Predictive Entropy Search for Bayesian Optimization with Unknown Constraints. In the International Conference on Machine Learning. [pdf] [bibtex]

   @inproceedings{hernandez-lobato:2015,
     title = {Predictive Entropy Search for Bayesian Optimization with Unknown
                 Constraints},
     author = {Hern\'andez-Lobato, Jos\'e Miguel and Gelbart, Michael A. and Hoffman, Matthew W. and Adams, Ryan P. and Ghahramani, Zoubin},
     booktitle = {the International Conference on Machine Learning},
     year = {2015},
     link = {https://arxiv.org/pdf/1502.05312.pdf}
   }