2020年6月
Big picture of machine learning
摘要： high level introduction to machine learning 阅读全文
posted @ 2020-06-30 20:54 科研民工 阅读(115) 评论(0) 推荐(0)
Construction methods in high dimensional probaility
摘要： Construction of epsilon-net, packing, ... $\alpha$ 阅读全文
posted @ 2020-06-30 00:13 科研民工 阅读(165) 评论(0) 推荐(0)
Epsilon-net in high dimensional probability
摘要： Will fill up this soon. 阅读全文
posted @ 2020-06-30 00:10 科研民工 阅读(76) 评论(0) 推荐(0)
Methods for establishing concentration of measure inequalities
摘要： entropy method,... 阅读全文
posted @ 2020-06-30 00:09 科研民工 阅读(70) 评论(0) 推荐(0)
Properties commonly used in high dimensional probability
摘要： iid, stationarity, separability, continuous modularity, ... 阅读全文
posted @ 2020-06-30 00:07 科研民工 阅读(62) 评论(0) 推荐(0)
Commonly used bounds of expected supremum of empirical processes
摘要： maximal inequality, Sudakov inequality, Slepian-Fernique inequality, Super-Sudokaov inequality, Fernique inequality, majorizing measure theorem, gener 阅读全文
posted @ 2020-06-30 00:05 科研民工 阅读(79) 评论(0) 推荐(0)
Commonly used concentration of measure inequalities
摘要： Markov inequality, Hoeffdin inequality, Chernoff inequality, Talagrand inequality, 阅读全文
posted @ 2020-06-30 00:00 科研民工 阅读(86) 评论(0) 推荐(0)
Big picture of high dimensional probability
摘要： basic problems 阅读全文
posted @ 2020-06-29 23:58 科研民工 阅读(114) 评论(0) 推荐(0)
Big picture of mathematical optimization
摘要： Basic concepts, optimality conditions, different types of optimization, algorithm design techniques 阅读全文
posted @ 2020-06-29 20:47 科研民工 阅读(135) 评论(0) 推荐(0)
Optimality conditions in convex optimization
摘要： first order necessary optimality condition, second order necessary optimality condition, second order sufficient optimality conditions 阅读全文
posted @ 2020-06-29 20:44 科研民工 阅读(157) 评论(0) 推荐(0)