Renzhe Xu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 37

Top Topics

Causal Discovery

Domain Description

Multiple Stages

Top Venues

Publications

Xingxuan Zhang, Jiansheng Li, Wenjing Chu, Junjia Hai, Renzhe Xu, Yuqing Yang, Shikai Guan, Jiazheng Xu, Peng Cui
On the Out-Of-Distribution Generalization of Multimodal Large Language Models. CoRR (2024)
Kamesh Munagala, Yiheng Shen, Renzhe Xu
The Limits of Interval-Regulated Price Discrimination. CoRR (2024)
Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui
Model-Agnostic Random Weighting for Out-of-Distribution Generalization. KDD (2024)
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. CoRR (2024)
Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CVPR (2023)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CVPR (2023)
Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. CLeaR (2023)
Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
Rethinking the Evaluation Protocol of Domain Generalization. CoRR (2023)
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. CoRR (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. CoRR (2023)
Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui
Covariate-Shift Generalization via Random Sample Weighting. AAAI (2023)
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
Stable Learning via Sparse Variable Independence. AAAI (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
Flatness-Aware Minimization for Domain Generalization. CoRR (2023)
Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. ICML (2023)
Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
Flatness-Aware Minimization for Domain Generalization. ICCV (2023)
Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
Measure the Predictive Heterogeneity. ICLR (2023)
Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
Model Agnostic Sample Reweighting for Out-of-Distribution Learning. CoRR (2023)
Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li
Towards Domain Generalization in Object Detection. CoRR (2022)
Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
Product Ranking for Revenue Maximization with Multiple Purchases. NeurIPS (2022)
Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen, Peng Cui
Product Ranking for Revenue Maximization with Multiple Purchases. CoRR (2022)
Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang
Model Agnostic Sample Reweighting for Out-of-Distribution Learning. ICML (2022)
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
Regulatory Instruments for Fair Personalized Pricing. WWW (2022)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CoRR (2022)
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
Stable Learning via Sparse Variable Independence. CoRR (2022)
Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui
NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. ECCV Workshops (6) (2022)
Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. ICML (2022)
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu
Regulatory Instruments for Fair Personalized Pricing. CoRR (2022)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Towards Unsupervised Domain Generalization. CVPR (2022)
Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang
Why Stable Learning Works? A Theory of Covariate Shift Generalization. CoRR (2021)
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. CoRR (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-Of-Distribution Generalization. CoRR (2021)
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui
Towards Out-Of-Distribution Generalization: A Survey. CoRR (2021)
Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
DARING: Differentiable Causal Discovery with Residual Independence. KDD (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-of-Distribution Generalization. CVPR (2021)
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
Algorithmic Decision Making with Conditional Fairness. CoRR (2020)
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
Algorithmic Decision Making with Conditional Fairness. KDD (2020)
Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu
Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena. KDD (2019)