Sep 2, 2022

• 정다연
  • Comparison of FDR controlling method
• 김규리
  • False Discovery Rate Control using Covariates
• 김규환
  • Principal Fitted Components

Aug 26, 2022

• 김명준
  • Propensity Score Matching

Aug 19, 2022

• 신도협
  • Anomaly Detection
• 황서화
  • Two-stage design for experiments with a large number of hypotheses

Aug 4, 2022

• 김규환
  • Knockoff and SDR

Jul 28, 2022

• 현승엽
  • History of Boosting Algorithm: AdaBoost, GBM, XGBoost
• 신도협
  • FDR control via Data Splitting

Jul 22, 2022

• 김명준
  • Mining Association Rules and Classification based on Association Rules (CBA)
  • tutorial
• 황서화
  • Addressing Small Sample Replicates in Logfold Change Multiple Testing

Mar 4, 2022

• 현승엽
  • ResNet Implementation with PyTorch
• 신도협
  • Statistics for High-Dimensional Data - Algorithms for Lasso
• 김명준
  • How to use Git?

Feb 25, 2022

• 김규환
  • Independent Component Analysis

Feb 18, 2022

• 김규환
  • Learning with Kernels
• 김명준
  • Natural Language Processing with Deep Learning - Seq2Seq, Attention and Transformer
• 신도협
  • Statistics for High-Dimensional Data - Additive Models and Many Smooth Univariate Functions

Feb 11, 2022

• 현승엽
  • Convolutional Neural Network

Jan 28, 2022

• 신도협
  • Statistics for High-Dimensional Data - Generalized linear Models and Group Lasso
• 김명준
  • Natural Language Processing with Deep Learning - Language Models, RNN and LSTM

Jan 21, 2022

• 현승엽
  • Introduction to Deep Learning
  • code
• 김규환
  • Reproducing Kernel Hilbert Space

Jan 14, 2022

• 신도협
  • Statistics for High-Dimensional Data - Lasso for linear models
• 김명준
  • Natural Language Processing with Deep Learning - Introduction and Word Vectors
  • code

Jan 7, 2022

• 김규환
  • Kernel PCA
• 현승엽
  • Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons