Talk 1 9:00-10:00 Responsible Machine Learning and Machine Learning for Science 本报告分三部分:(一) 如何建立高效和可靠的机器学习系统;(二) 如何设计机器学习算法来解决科学问题,比如:药物开发和量子计算;(三) 对北卡罗来纳大学教堂山分校的简单分享。About the speaker 陈天龙博士将于 2024 年秋季加入北卡罗来纳大学教堂山分校计算机系担任助理教授。在这之前 (2023 - 2024),他会加入麻省理工和哈佛大学担任博士...
AbstractWe propose AEGD, a new algorithm for gradient-based optimization of stochastic objective functions, based on adaptive updates of quadratic energy. The method is shown to be unconditionally energy stable, irrespective of the step size. In addition, AEGD enjoys tight convergence rates, yet allows a large step size. The method is straightforward to implement and requires little tuning of h...