Invited 1

Chair : Wen-Han Hwang

Jason D. Lee

Offline Reinforcement Learning with Realizability and Single-Policy Concentrability

Discussion

Invited 2

Chair : Henry Horng-Shing Lu

Veronika Rockova

Conditional GANs for Bayesian Simulation

Discussion

Invited 3

Chair : Nan-Jung Hsu

Di Wang

Rate-Optimal Robust Estimation of High-Dimensional Vector Autoregressive Models

Discussion

Invited 4

Chair : Guan-Hua Huang

Tso-Jung Yen

Recent Advances in Adversarial Learning

Discussion

Invited 5

Chair : Ray-Bing Chen

Ming-Chung Chang

Predictive Subdata Selection for Large-Scale Deterministic Computer Models

Discussion

Chair : I-Ping Tu

Talk 1

Yan-Bin Chen

Feature Representation Learning in Neural Networks Guided by the Sliced Inverse Regression

Talk 2

Yi-Ju Lee

Chaotic-based Deep Learning Approach for Identifying Nonalcoholic Fatty Livers with Ultrasound Images

Invited 6

Chair : Mei-Hui Guo

Jinchi Lv

High-Dimensional Knockoffs Inference for Time Series Data

Discussion

Invited 7

Chair : Ching-Kang Ing

Yingying Fan

Asymptotic Properties of High-Dimensional Random Forests

Discussion

Invited 8

Chair : Hsin-Chou Yang

Chen-Hsiang Yeang

Clustering Image Data with a Fixed Embedding

Discussion

Chair : Su-Yun Huang

Talk 3

Hsueh-Han Huang

Model Selection for High-Dimensional Misspecified Time Series Models

Talk 4

Yan-Shuo Pan

Multiple Robust Estimation of Average Treatment Effects with High-Dimensional Covariates

Talk 5

Toshinari Morimoto

A Comparison Study on Various Rank Estimation Methods for FA and PPCA