【[论文]《Gradient-based Hyperparameter Optimization through Reversible Learning》】(2015) D Maclaurin, D Duvenaud, RP AdamsO网页链接来自Harvard，提出超参优化的梯度计算新思路，“...opens up a garden of delights”，很有意思的论文，推荐，相关实验&图表:O网页链接 ICML2015上发表的《Gradient-based Hyperparameter Optimization through Reversible Learning》O网页链接 Download PDF Supplementary (PDF)
ICML2015上发表的《Gradient-based Hyperparameter Optimization through Reversible Learning》网页链接《Gradient-based Hyperparameter Optimization through Reversible Learning》(2015) D Maclaurin, D Duvenaud, RP Adams网页链接来自Harvard，提出超参优化的梯度计算新思路，“...opens up a garden of delights”，很有意思的论文，推荐，相关实验&图表:网页链接
【论文:Online Boosting的优化和自适应算法】《Optimal and Adaptive Algorithms for Online Boosting》A Beygelzimer, S Kale, H Luo (ICML2015)O网页链接
[论文]《Scalable Bayesian Optimization Using Deep Neural Networks》(2015) J Snoek, O Rippel, K Swersky网页链接用DNN做参数优化，可实现大规模并行优化，酷！ICML2015上发表的版本:网页链接
