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2023-07-12 Wednesday

Meeting Room No.3 (UTC+8) 2023-07-12 Local Time

10:30-12:10 (UTC+8) 10:30-12:10 Local Time | Invited Session 24: Deep Neural Network Models in Data Science
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 10:55-11:20 10:55-11:20 Invited Talk

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization

Linglong Kong University of Alberta
2 11:20-11:45 11:20-11:45 Invited Talk

Uncovering the Law of Data Separation in Deep Learning

Weijie Su Wharton School, University of Pennsylvnania
3 11:45-12:10 11:45-12:10 Invited Talk

Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing

Michael Zhu Purdue University
14:00-15:40 (UTC+8) 14:00-15:40 Local Time | Invited Session 31: Statistical Modeling for Complex Networks
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 14:00-14:25 14:00-14:25 Invited Talk

Community Detection of Discrete-time Temporal Networks under Dynamic Stochastic Block Models

Binghui Liu
2 14:25-14:50 14:25-14:50 Invited Talk

Shrinkage Estimation for Large-dimensional Factor Model with an Observed Variable Network

Long Yu
3 14:50-15:15 14:50-15:15 Invited Talk

Estimating cell-type-specific gene co-expression networks from bulk gene expression data

Emma Jingfei Zhang
4 15:15-15:40 15:15-15:40 Invited Talk

Matrix-valued Network Autoregression Model with Latent Group Structure

Xuening Zhu
16:00-17:40 (UTC+8) 16:00-17:40 Local Time | Invited Session 38: Learning and Optimization
President:
Organizer:
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 16:00-16:25 16:00-16:25 Invited Talk

Simple measures of uncertainty for model selection

Xiaohui Liu
2 16:25-16:50 16:25-16:50 Invited Talk

Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality

Sai Li
3 16:50-17:15 16:50-17:15 Invited Talk

Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums

Haishan Ye Xi'an Jiaotong University
4 17:15-17:40 17:15-17:40 Invited Talk

Statistical Inference for Decentralized Federated Learning

JIA GU