Seminar
Semester A 2024/25
Matrix Decomposition-based Transfer Learning Method and its Mathematical Analysis
Ivan Au Yeung, Nvidia AI Technology Center HK
(Venue: LAU 7-208)
Data Integration: Network-Guided Covariate Selection
Wanjie Wang, National University of Singapore
(Venue: LAU 7-208)
Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data
Dan Yang, The University of Hong Kong
(Venue: LAU 14-221)
Nearest Neighbor Matching
Fang Han, University of Washington
(Venue: LAU 6-208)
AI for Social Sciences: Generative Modeling Beyond LLMs
Lin William Cong, Cornell University & NBER
(Venue: LAU 14-222)
Estimation of Large Dynamic Precision Matrices with a Latent Semiparametric Structure
Jia Chen, University of Macau
(Venue: LAU 7-207)
Deep Autoencoders for Nonlinear Factor Models: Theory and Applications
Zhouyu Shen, University of Chicago
(Venue: LAU 14-221)
Inference for Two-Stage Experiments under Covariate-Adaptive Randomization
Jizhou Liu, University of Chicago
(Venue: LAU 6-207)
Statistical Analysis of Adversarial Training
Yiling Xie, Georgia Institute of Technology
Block Cross Fitting and Validation for Spatial Data
Jianfei Cao, Northeastern University
(Venue: LAU 7-208)
Quantile regression and consistent variable selection across multiple quantiles, a case study of equity premium predictability
Shaobo Li, University of Kansas
(Venue: LAU 6-208)
Can ChatGPT forecast stock price movements? Return predictability and LLMs
Alejandro Lopez Lira, University of Florida
(Venue: LAU 7-207)
Inference for Changing Periodicity, Smooth Trend and Covariate Effects in Time Series
Lucy Xia, Hong Kong University of Science and Technology
(Venue: LAU 6-208)
Bounded Rationality, Reinforcement Learning, and Market Efficiency
Hyun Soo Doh, Hanyang University
(Venue: LAU 6-208)
Deep Neural Newsvendor
Guohao Shen, The Hong Kong Polytechnic University
(Venue: LAU 6-208)
On the economic benefit of complete subset regression for the multivariate HAR model
Andrey Vasney, The University of Sydney
(Venue: LAU 7-207)
AI, BI & SI — Artificial, Biological and Statistical Intelligences
Dennis K. J. Lin, Purdue University
(Venue: LAU 7-207)
Machine Learning and Matching Markets
Xiaowu Dai, University of California, Los Angeles
(Venue: LAU 6-208)
Generative Nonparametric Regression
Yuanyuan Lin, The Chinese University of Hong Kong
(Venue: LAU 7-208)
Comparing Factor Models with Price- Impact Costs
Victor DeMiguel, London Business School
(Venue: LAU 7-208)
Deep nonparametric approaches to domain generalisation
Yuanyuan Lin, The Chinese University of Hong Kong
(Venue: LAU 7-208)
An efficient tensor regression for high-dimensional data
Guodong Li, The University of Hong Kong
(Venue: LAU 6-208)
An intrinsic measure for quantifying the heterogeneity in meta-analysis
Tiejun Tong, Hong Kong Baptist University
(Venue: LAU 6-207)
Multivariate Functional Time Series: Dimension Reduction and Risk Forecasting
Flavio Ziegelmann, Universidade Federal do Rio Grande do Sul
(Venue: LAU 7-208)