Hi, I'm Scott Clark, co-founder of SigOpt (YC W15). We provide hyperparameter optimization as a service.
We have some references to recent articles we've presented at NIPS, ICML, and AISTATS here [1]
We also have a higher level technical blog here [2] (we recently did a series of post on how uncertainty influences optimization in single and multi-metric cases). We've also done some hyperparameter tuning blog posts with our partners AWS [3] and NVIDIA [4].
All of these papers and blogs also contain references to other papers and blogs that can help start you down your literature review. Hopefully this is helpful!
We have some references to recent articles we've presented at NIPS, ICML, and AISTATS here [1]
We also have a higher level technical blog here [2] (we recently did a series of post on how uncertainty influences optimization in single and multi-metric cases). We've also done some hyperparameter tuning blog posts with our partners AWS [3] and NVIDIA [4].
All of these papers and blogs also contain references to other papers and blogs that can help start you down your literature review. Hopefully this is helpful!
[1]: https://sigopt.com/research
[2]: https://blog.sigopt.com/categories/in-depth
[3]: https://aws.amazon.com/blogs/machine-learning/fast-cnn-tunin...
[4]: https://devblogs.nvidia.com/sigopt-deep-learning-hyperparame...