编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:50 | 贡献报告 |
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton |
廖振宇 | 华中科技大学 |
Contributed Talk |
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton |
Zhenyu Liao | Huazhong Universityf of Science and Technology | ||
2 | 13:50-14:10 | 贡献报告 |
Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression |
王 超 | 上海财经大学 |
Contributed Talk |
Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression |
Chao Wang | Shanghai University of Finance and Economics | ||
3 | 14:10-14:30 | 贡献报告 |
Random k conditional nearest neighbor for high-dimensional data |
JIAXUAN LU | Western University |
Contributed Talk |
Random k conditional nearest neighbor for high-dimensional data |
JIAXUAN LU | Western University | ||
4 | 14:30-14:50 | 贡献报告 |
Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model |
Haixiao Wang | University of California, San Diego |
Contributed Talk |
Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model |
Haixiao Wang | University of California, San Diego | ||
5 | 14:50-15:10 | 贡献报告 |
Deep batch learning in high-dimensional nonparametric contextual bandits |
许赵辉 | 中国科学技术大学 |
Contributed Talk |
Deep batch learning in high-dimensional nonparametric contextual bandits |
Zhaohui Xu | University of Science and Technology |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:50 | 贡献报告 |
Moment-integrated Bias-adjusted Spectral Method for Community Detection in Multi-layer Networks |
王雪菲 | 北京师范大学 |
Contributed Talk |
Moment-integrated Bias-adjusted Spectral Method for Community Detection in Multi-layer Networks |
Xuefei Wang | Beijing Normal University | ||
2 | 15:50-16:10 | 贡献报告 |
Valid Inference for Clustering via Algorithmic Stability |
孙嘉浚 | 厦门大学 |
Contributed Talk |
Valid Inference for Clustering via Algorithmic Stability |
Jiajun Sun | Xiamen University | ||
3 | 16:10-16:30 | 贡献报告 |
Composite Kernel Two-Sample Tests |
吕淑睿 | 北京工业大学 |
Contributed Talk |
Composite Kernel Two-Sample Tests |
Shurui Lv | Beijing University of Technology | ||
4 | 16:30-16:50 | 贡献报告 |
Expectation Identity of the Negative Binomial Distribution and Its Application in the Calculations of High-Order Origin Moments |
张应应 | 云南大学 |
Contributed Talk |
Expectation Identity of the Negative Binomial Distribution and Its Application in the Calculations of High-Order Origin Moments |
Yingying Zhang | Yunnan University | ||
5 | 16:50-17:10 | 贡献报告 |
Safe, Always-Valid Alpha-Investing Rules For Doubly Sequential Online Inference |
姚泽宇 | 浙江大学 |
Contributed Talk |
Safe, Always-Valid Alpha-Investing Rules For Doubly Sequential Online Inference |
Zeyu Yao | Zhejiang University |