In the realm of machine learning, the performance of a model often hinges on the optimal selection of hyperparameters. These parameters, which lie beyond the control of the learning algorithm, dictate ...

钱成德，上海交通大学数学科学学院吴文俊博士后，2024年博士毕业于南开大学统计与数据科学学院，研究兴趣包括变点和异常点检测、对抗稳健学习，研究成果发表于Mathematical Programming, Journal of Machine ...

While it might not be an exciting problem front and center of AI conversations, the issue of efficient hyperparameter tuning for neural network training is a tough one. There are some options that aim ...

When it comes to building effective machine learning models, selecting the optimal set of hyperparameters is crucial. Hyperparameters are parameters that govern the behaviour and performance of a ...