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> ...
Data Scientist
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...
Variational Inference
Information Theory 정보이론(Information Theory): 신호에 존재하는 정보의 양을 측정하는 이론으로서, 특정 확률분포의 특성을 알아내거나, 두 확률분포 간 유사성을 정량화하는 데 사용함 Shannon’s Information Theory Principles 자주 발생하지 않는 사...
Markov Chain Monte Carlo
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.
Monte Carlo Simulation
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.
Bayes Action
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.
Prior Determination
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.
Frequentist vs. Bayesian
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.
ExpoMF
<ul type="square"> <li><strong>Title</strong>: <a href="https://doi.org/10.1145/2872427.2883090"><code>Modeling User Exposure in Recommendation</code></a></li> <li><strong>Published</strong>: <em>2...
Bayesian Framework
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.