Yiping Lu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Bipartite Ranking

Inference Mechanism

Top Venues

Publications

Kaizhao Liu, Jose H. Blanchet, Lexing Ying, Yiping Lu
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty. CoRR (2024)
Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff
Statistical Spatially Inhomogeneous Diffusion Inference. AAAI (2024)
Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality. NeurIPS (2023)
Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff
Statistical Spatially Inhomogeneous Diffusion Inference. CoRR (2023)
Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality. CoRR (2023)
Jikai Jin, Yiping Lu, José H. Blanchet, Lexing Ying
Minimax Optimal Kernel Operator Learning via Multilevel Training. ICLR (2023)
Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. ICLR (2022)
Yiping Lu, Jose H. Blanchet, Lexing Ying
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent. CoRR (2022)
Yiping Lu, Wenlong Ji, Zachary Izzo, Lexing Ying
Importance Tempering: Group Robustness for Overparameterized Models. CoRR (2022)
Yiping Lu, José H. Blanchet, Lexing Ying
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent. NeurIPS (2022)
Yiping Lu, Jiajin Li, Lexing Ying, Jose H. Blanchet
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls. CoRR (2022)
Jikai Jin, Yiping Lu, Jose H. Blanchet, Lexing Ying
Minimax Optimal Kernel Operator Learning via Multilevel Training. CoRR (2022)