Hangzhou Xixi Hotel 2026 International Conference on Frontiers of Data Science
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2026-05-16
Saturday
8:00
9:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
Dongwan Hall Opening Ceremony
(09:00-09:15)
Keynote Speech-Jun Liu
(09:15-10:05)
Dongwan Hall A Machine Learning for Policy Optimization and Causal Inference in Complex Systems
(10:35-11:55)
Recent Advances in Statistics and AI
(14:00-15:20)
Optimal Inference under Privacy, Communication, and Sampling Constraints
(15:50-17:10)
Dongwan Hall B Advances in Causal Inference for Observation Data
(10:35-11:55)
Recent Developments in Hypothesis Testing
(14:00-15:20)
Advances in High-Dimensional Inference and Uncertainty Quantification
(15:50-17:10)
Meizhu Hall Advances in Machine Learning Theory
(10:35-11:55)
Prediction and Machine learning in biomedical studies
(14:00-15:20)
Robust and Efficient Estimation for Modern Causal and Treatment Effect Models
(15:50-17:10)
Meishu Hall Statistical and Machine Learning Methods for Analyzing Complex Real-world Data
(10:35-11:55)
Recent Advances in Estimation and Inference for Structured and Heterogeneous Data
(14:00-15:20)
Regression and Time-series in High-dimensional Setting
(15:50-17:10)
Yanshui Hall From Statistical Foundations to AI Impacts: Risk, Robustness, and Representation
(10:35-11:55)
Advanced Data Science Techniques: Differential Privacy, Dynamic Treatment Regimes
(14:00-15:20)
New Advances in Data Science
(15:50-17:10)
Jiaolu Hall A Statistical Theory and Random Matrices with Applications in Finance
(10:35-11:55)
Private and Federated High-Dimensional Statistical Inference
(14:00-15:20)
Advances in Statistical Methods for Multiple Biomarkers and Data Sources
(15:50-17:10)
Jiaolu Hall B Deep Generative Models and Their Interplay with Data-driven Decision-making
(10:35-11:55)
Transfer Learning and Robust Modeling for Structured Data
(14:00-15:20)
Recent Advances in Statistical Genetics
(15:50-17:10)
Shangwu Hall Statistical Learning for Complex Systems
(10:35-11:55)
Recent Advances in High-dimensional and Financial Statistics
(14:00-15:20)
Multiple Testing Meets Modern Data and Machine Learning
(15:50-17:10)
2026-05-17
Sunday
8:00
9:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
Dongwan Hall Keynote Speech-Richard J. Samworth
(09:00-09:50)
Dongwan Hall A Model Averaging and Related Studies (MARS)
(10:20-11:40)
Recent Advances in the Statistical Foundations of Data Sciences
(14:00-15:20)
Statistical Learning: Theory and Practice
(15:50-17:10)
Dongwan Hall B Statistical Learning on Complex Data Analysis
(10:20-11:40)
Statistical Inference and Sequential Decision Making
(14:00-15:20)
Machine Learning and Statistical Inference for Complex Data
(15:50-17:10)
Meizhu Hall Recent Advances in Statistical Theory for Deep Learning
(10:20-11:40)
Recent advances in survival analysis
(14:00-15:20)
Advances in Statistical Learning and High-Dimensional Statistical Inference
(15:50-17:10)
Meishu Hall Statistical Learning Theory and Methods: From High-Dimensional Inference to Multi-Modal AI Applications
(10:20-11:40)
Deep Learning Methods in Survival Analysis
(14:00-15:20)
Next Generation Visual AIGC: Controllable Generation, Ultra-HD, and Intelligent Design
(15:50-17:10)
Yanshui Hall Modern Methods in Statistical Learning and Data Analysis
(10:20-11:40)
Robust Treatment Effect Learning and Fair Decision Making
(14:00-15:20)
Methods in Spatial transcriptomic data analysis
(15:50-17:10)
Jiaolu Hall A Frontiers in Interactive Generative World Models
(10:20-11:40)
Advances in Intelligent Agents and Efficient Multimodal Models
(14:00-15:20)
Recent Advances in Causal Inference and Latent Variable Modeling
(15:50-17:10)
Jiaolu Hall B Statistical Analysis of Networks
(10:20-11:40)
Preference-based centrality and ranking in general metrics space
(14:00-15:20)
Advances in Inference for Modern Data Settings
(15:50-17:10)