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Please click HERE to download the program booklet.

 

Date

Time

Activities

January 9

1:00 pm - 6:00 pm

Registration (TU724)

(Registration can also be doneon January 10 at the Workshop site Y301)

 

6:00 pm

Dinner

January 10

08:30 am - 09:00 am

Registration

09:00 am - 09:05 am

Opening remarks. Jian Huang, The Hong Kong Polytechnic University

09:05 am - 09:10 am

Remarks, Defeng Sun, Head, Dept of Applied Math, The Hong Kong Polytechnic University

Session 1. Chair: Jian Huang, The Hong Kong Polytechnic University

09:10 am - 09:35 am

Tony Cai, University of Pennsylvania

Title: The Cost of Privacy: Optimal Differentially Private Learning

09:35 am - 10:00 am

Kung-Sik Chan, University of Iowa

Title: Change Point Detection with Matrix-Variate Data: Leveraging and Adapting to Structured Mean Changes

10:00 am - 11:00 am

Group photo, tea break, posterviewing, and discussion

Session 2. Chair: Xinyu Zhang, Chinese Academy of Sciences

11:00 am - 11:25 am

Xiaotong Shen, University of Minnesota

Title: Boosting Data Analytics with Synthetic Volume Expansion

11:25 am - 11:50 am

Hansheng Wang, Peking University

Title: Network Gradient Descent Algorithm for Decentralized Federated Learning

12:15 pm - 2:00 pm

Lunch

Session 3. Chair: Zhao Chen, Fudan University

2:00 pm - 2:25 pm

Linglong Kong, University of Alberta

Title: Online Local Differential Private Quantile Inference via Self-normalization

2:25 pm - 2:50 pm

Juyong Zhang, University of Science and Technology of China

Title: Creating High-Fidelity Digital Avatar for Everyone

2:50 pm - 4:00 pm

Tea break, posterviewing, and discussion

 

Session 4. Chair: Yao Wang, Xi’an Jiaotong University

 

4:00 pm - 4:25 pm

Jinyuan Chang, Southwestern University of Finance and Economics and CAS

Title: Exploring Excellence: Bayesian Penalized Empirical Likelihood and MCMC Sampling

 

4:25 pm - 4:50 pm

Xueqin Wang, University of Science and Technology of China

Title: Green’s Matching: An Efficient Approach to Parameter Estimation inComplex Dynamic Systems

 

4:50 pm - 6:00 pm

Discussion

 

6:00 pm

Dinner

January 11

Session 5. Chair: Xingqiu Zhao, The Hong Kong Polytechnic University

9:00 am - 9:25 am

Qiwei Yao, London Schoolof Economics

Title: Blind Source Separation over Space

9:25 am - 9:50 am

Ming Yuan, Columbia University

Title: On the Multiway PCA

9:50 am - 10:15 am

Bin Nan, University of California, Irvine

Title: Survival Estimation with Time-Varying Covariates Using Neural Networks

10:15 am - 11:00 am

Tea break, posterviewing, and discussion

Session 6. Chair: Fang Fang, East China Normal University

11:00 am - 11:25 am

Johannes Schmidt-Hieber, Universiteit Twente

Title: Statistical Learning in Biological Neural Networks

11:25 am - 11:50 am

Lijian Yang, Tsinghua University

Title: Hypotheses Testing of Functional Principal Components

11:50 am - 12:15 pm

Zhou Yu, East China Normal University

Title: Nonlinear Sufficient Dimension Reduction

12:15 pm - 2:00 pm

Lunch

Session 7. Chair: Yixuan Qiu, Shanghai University of Finance and Economics

2:00 pm - 2:25 pm

Tengyuan Liang, University of Chicago

Title: Randomization Inference When N = 1

2:25 pm - 2:50 pm

Yazhen Wang, University of Wisconsin, Madison

Title: Reinforcement Learning in a Continuous-Time Stochastic Setting

2:50 pm - 3:15 pm

Minge Xie, Rutgers University

Title: Inference for Discrete or Non-numerical Parameters and Unraveling Machine Learning Black-Box Models

 

3:15 pm - 4:15 pm

Tea break, posterviewing, and discussion

 

Session 8. Chair: Binyan Jiang, The Hong Kong Polytechnic University

 

4:15 pm - 4:40 pm

Yancheng Yuan, The Hong Kong Polytechnic University

Title: DreamRec:Reshaping Sequential Recommendation Systems

 

4:40 pm - 5:05 pm

Jian Huang, The Hong Kong Polytechnic University

Title: A Bayesian Framework for Fine-Tuning LargeDiffusion Models

 

5:05 pm - 6:00 pm

Discussion

 

6:00 pm

Dinner