Bayesian Regression (2) Subjective Prior
Based on the lecture “Bayesian Modeling (2024-1)” by Prof. Yeo Jin Chung, Dept. of AI, Big Data & Management, College of Business Administration, Kookmin Univ.
Data Scientist
Bayesian Regression (1) Objective Prior
Based on the lecture “Bayesian Modeling (2024-1)” by Prof. Yeo Jin Chung, Dept. of AI, Big Data & Management, College of Business Administration, Kookmin Univ.
Naive Bayes
Based on the lecture “Intro. to Machine Learning (2023-2)” by Prof. Je Hyuk Lee, Dept. of Data Science, The Grad. School, Kookmin Univ.
Multi Armed Bandits
Based on the lecture “Bayesian Modeling (2024-1)” by Prof. Yeo Jin Chung, Dept. of AI, Big Data & Management, College of Business Administration, Kookmin Univ.
Bayesian A/B Test
Based on the lecture “Bayesian Modeling (2024-1)” by Prof. Yeo Jin Chung, Dept. of AI, Big Data & Management, College of Business Administration, Kookmin Univ.
Stein Variational Gradient Descent
Liu, Q., & Wang, D.</br> (2016).</br> <a href="https://doi.org/10.48550/arXiv.1608.04471">Stein variational gradient descent: A general purpose bayesian inference algorithm.</a></br> Advances in ne...
Stein's Method
Stein’s Method 슈타인 연산자(Stein Operator): 테스트 함수 $f(x)$ 를 확률 분포 $X \sim P$ 의 구조가 반영된 형태로 변환하는 연산자로서, $x$ 의 변화에 따른 $f(x)$ 의 변화율를 측정하고, 그 변화를 $x$ 가 발생할 가능성 $X \sim P$ 이 반영된 형태로 조정...
Monte Carlo Dropout
Gal, Y., & Ghahramani, Z.</br> (2016, June).</br> <a href="https://doi.org/10.48550/arXiv.1506.02142">Dropout as a bayesian approximation: Representing model uncertainty in deep learning.</a></br> ...
BPR
<ul type="square"> <li><strong>Title</strong>: <a href="https://dl.acm.org/doi/10.5555/1795114.1795167"><code>BPR: Bayesian Personalized Ranking from Implicit Feedback</code></a></li> <li><strong>P...
Bayes by Backprop
Blundell, C., Cornebise, J., Kavukcuoglu, K., & Wierstra, D.</br> (2015, June).</br> <a href="https://proceedings.mlr.press/v37/blundell15">Weight uncertainty in neural network.</a></br> In Interna...