Speaker: Shanshan Tu

Title: The Estimation of Prediction Error: Covariance Penalties and Cross-Validation

Reference: The Estimation of Prediction Error: Covariance Penalties and Cross-Validation by Bradley Efron

Speaker: Jianhao Zhang

Title: Optimization with Orthogonality Constraints

Reference:
A feasible method for optimization with orthogonality constraints by Zaiwen Wen and Wotao Yin (2013)

Speaker: Chenxi Zhou

Title: Density Estimation in Reproducing Kernel Hilbert Space (RKHS)

Reference: Smoothing Spline Density Estimation: Theory (Gu and Qiu, 1993) and Smoothing Spline Density Estimation: A Dimensionless Automatic Algorithm (Gu, 1993)

Speaker: Jiae Kim

Title: Random Features for Kernel Functions

Reference: Random Features for Large-scale Kernel Machines

Speaker: Prateek Sasan

Title: Anchor Regression: heterogenous data meets causality

Reference: Anchor Regression: heterogenous data meets causality

Speaker: John Honaker

Title: Convolutional Neural Networks on Graph Domains

Reference:
Semi-Supervised Classification with Graph Convolutional Networks
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Speaker: Abhijoy Saha

Title: An Introduction to Variational Bayesian Inference

Reference: Variational Inference: A Review for Statisticians

Statistical Learning and Data Mining reading group will meet this semester. Regular meetings are scheduled every other Tuesday starting from September 4th from 12:30 to 1:30 pm in Cockins Hall Room 212.

Students may register for course credit by enrolling in STAT 8750.01 – Research Group in Statistical Learning and Data Mining. If you want to be added to the reading group email list, contact Chenxi Zhou at zhou.779@osu.edu.