sabo

分类

c++(1) 因果推断(2) 技术栈(1) 机器学习(27) 程序静态分析(1) 算法实践(1) 算法总结(15) 统计(1) 自然语言处理(9) 论文笔记(13) 读书笔记(1) 面经(1) 项目学习(1) 题解(28)

/ 注册

TA的专栏 48篇文章 0人订阅

45篇文章 2341人学习

2篇文章 722人学习

1篇文章 99人学习

全部文章（共100篇）

DeepBayes: Gan Game 来自专栏

Introduction: 这篇记录了GAN,生成对抗，转载请注明。Reference： Deep Bayes Slides https://zhuanlan.zhihu.com/p/25071913 https://zhuanlan.zhihu.com/p/55393813f-Divergenc...

贝叶斯

2020-04-20

0 506

Deep Bayes: Discrete Latent Variables 来自专栏

Introduction: 这篇笔记会记录一些离散隐变量模型，转载请注明。Reference：Deep Bayes Motivation Easier to interpret discrete categories than continuous spectrumexample: discret...

贝叶斯

2020-04-19

0 640

Deep Bayes: Variational inference 来自专栏

Introduction 这篇笔记比较系统地阐述了一些变分推断的方法，欢迎食用。转载请注明：https://blog.nowcoder.net/n/c0e560ac1acb42f9a88b525da39b9189Reference: Deep Bayes Full Bayesian inferenc...

贝叶斯

2020-04-15

0 1103

Cause inference: Backdoor path/Disjunctive criterion 来自专栏

这篇是关于因果推断后门路径准则的。关于因果图的一些别的representation和learning方面的事情，感觉会和PGM比较像。 Backdoor Path Criterion 举几个例子{V},{W},{V,W}都可以阻断后门路径。所以可以选取这三组其中一个来进行control。后门路径从...

因果推断

2020-04-14

0 2341

Causal inference: Stratification 来自专栏

这篇是关于因果推断基础里数据分层比较的Conditioning and MarginalizationIgnorability Standardization Example Probability of MACE given Saxa=yes: 350/4000=0.088Probability ...

因果推断

2020-04-14

0 822

stochastic multi-armed bandits, regret minimization

chernoff bounds 运用Markov inequality 最后根据可以得到 Hoeffding's equality Stochastic mult-armed bandits 休息一下

在线学习

2020-02-16

0 531

Introduction to online optimization: online gradient descent

online gradient descent: Theorem:For any closed convex action set A such that ,for any subdifferentiable loss with bounded subgradient , the OGD strat...

在线学习

2020-02-16

0 577

Introduction to online optimization: continuous exp strategy

objective: extend exp strategy to continuous exp strategy where convex and bounded For any convex loss taking values in [0,1], the continuous exp st...

在线学习

2020-02-16

0 499

Introduction to online optimization: introduction

online learning protocol: characteristic:limited feedback Exponentially weighed average forecaster Bounded convex loss and expert regret Hoeffding’s'...

在线学习

2020-02-15

0 663

GNN综述

GNN解决什么问题：针对non-euclidean数据限制：浅层语义结构的拓展特征融合非固定点探索 Graph Types Directed Graphsmethods: use two kinds of weight matrix, to incorporate more precise str...

图机器学习

2020-02-12

0 553