# Rémi Bardenet

According to our database

Collaborative distances:

^{1}, Rémi Bardenet authored at least 13 papers between 2010 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

DPPy: Sampling Determinantal Point Processes with Python.

CoRR, 2018

From Random Matrices to Monte Carlo Integration Via Gaussian Quadrature.

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

On Markov chain Monte Carlo methods for tall data.

Journal of Machine Learning Research, 2017

Zonotope hit-and-run for efficient sampling from projection DPPs.

CoRR, 2017

Zonotope Hit-and-run for Efficient Sampling from Projection DPPs.

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Hierarchical Bayesian Modelling of Variability and Uncertainty in Synthetic Action Potential Traces.

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Ten Simple Rules for a Successful Cross-Disciplinary Collaboration.

PLoS Computational Biology, 2015

Inference for determinantal point processes without spectral knowledge.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach.

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Collaborative hyperparameter tuning.

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Adaptive Metropolis with Online Relabeling.

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Algorithms for Hyper-Parameter Optimization.

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm.

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010