编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:55 | 贡献报告 |
Likelihood Matching for Diffusion Models |
钱 磊 | 北京大学 |
Contributed Talk |
Likelihood Matching for Diffusion Models |
Lei Qian | Peking University | ||
2 | 13:55-14:20 | 贡献报告 |
Generalization error bounds of gradient descent for learning a three-layer Vision Transformer |
程学伟 | 湖南师范大学 |
Contributed Talk |
Generalization error bounds of gradient descent for learning a three-layer Vision Transformer |
Xuewei Cheng | Hunan Normal University | ||
3 | 14:20-14:45 | 贡献报告 |
Functional Gradient Flows for Constrained Sampling |
张师悦 | 北京大学 |
Contributed Talk |
Functional Gradient Flows for Constrained Sampling |
Shiyue Zhang | Peking University | ||
4 | 14:45-15:10 | 贡献报告 |
Variational bagging: a robust approach for Bayesian uncertainty quantification |
Shitao Fan | University of Maryland |
Contributed Talk |
Variational bagging: a robust approach for Bayesian uncertainty quantification |
Shitao Fan | University of Maryland |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:50 | 贡献报告 |
A causal framework for assessing and achieving fairness |
张 平 | 北京大学 |
Contributed Talk |
A causal framework for assessing and achieving fairness |
Ping Zhang | Peking University | ||
2 | 15:50-16:10 | 贡献报告 |
Individualized Inference for Causal Fairness through Conformal Mediation Analysis |
余 成 | 清华大学 |
Contributed Talk |
Individualized Inference for Causal Fairness through Conformal Mediation Analysis |
Cheng Yu | Tsinghua University | ||
3 | 16:10-16:30 | 贡献报告 |
Deep Orthogonal Learner for Conditional Quantile Treatment Effect Estimation |
钟齐先 | 厦门大学 |
Contributed Talk |
Deep Orthogonal Learner for Conditional Quantile Treatment Effect Estimation |
Qixian Zhong | Xiamen University | ||
4 | 16:30-16:50 | 贡献报告 |
Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding |
裘知欣 | 华东师范大学 |
Contributed Talk |
Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding |
Zhixin Qiu | East China Normal University | ||
5 | 16:50-17:10 | 贡献报告 |
Rerandomization for covariate balance mitigates $p$-hacking in regression adjustment |
卢 鑫 | 清华大学 |
Contributed Talk |
Rerandomization for covariate balance mitigates $p$-hacking in regression adjustment |
Xin Lu | Tsinghua University |