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机器学习

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全部文章 / 机器学习（共27篇）

Deep Bayes: Adaptive skip-gram 来自专栏

Introduction 这里记录的是skip-gram模型的改进。转载请注明。Ref：Deep Bayes slides Skip-gram model Distributional hypothesis: similar words appear in similar contexts.Grad...

贝叶斯

2020-04-26

0 893

Deep Matching：召回策略回顾来自专栏

Introduction 这篇记录的是推荐系统的召回策略。转载请注明。reference：WWW18 tutorial Methods of Representation learning DSSM 问题：序列的顺序信息丢失，词袋模型不能保证顺序信息 CDSSM，LSTM-DSSM CNN和RNN都...

推荐系统

2020-04-25

0 1634

DeepBayes：Gaussian Process 来自专栏

Introduction 这篇是记录高斯过程的，转载请注明。Ref：1.Deep Bayes Slides The Gaussian Distribution The marginal and conditional distributions are also Gaussians. Functi...

贝叶斯

2020-04-24

0 818

Deep Bayes: Normalizing flow 来自专栏

Introduction 这篇记录了Flow-based 生成模型。转载请注明。Ref:1.Deep Bayes slides2.李宏毅machine learning Change of variables formula 1d-case:Given Nd-case: Coupling lay...

贝叶斯

2020-04-21

0 706

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

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