Yiwen Kou

17 papers A* 8A 1Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Guided Discrete Diffusion for Electronic Health Record Generation.
Trans. Mach. Learn. Res.
Jun Han, Zixiang Chen, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu
2025 A conf
On the Power of Multitask Representation Learning with Gradient Descent.
AISTATS
Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu
2025 J jnl
Smoothed Agnostic Learning of Halfspaces over the Hypercube.
CoRR
Yiwen Kou, Raghu Meka
2024 A* conf
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time.
NeurIPS
Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
2024 A* conf
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration.
NeurIPS
Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang
2024 J jnl
Guided Discrete Diffusion for Electronic Health Record Generation.
CoRR
Zixiang Chen, Jun Han, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu
2024 A* conf
Matching the Statistical Query Lower Bound for k-Sparse Parity Problems with Sign Stochastic Gradient Descent.
NeurIPS
Yiwen Kou, Zixiang Chen, Quanquan Gu, Sham M. Kakade
2024 J jnl
Matching the Statistical Query Lower Bound for k-sparse Parity Problems with Stochastic Gradient Descent.
CoRR
Yiwen Kou, Zixiang Chen, Quanquan Gu, Sham M. Kakade
2023 J jnl
Benign Overfitting for Two-layer ReLU Networks.
CoRR
Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu
2023 A* conf
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks.
ICML
Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu
2023 J jnl
Fast Sampling via De-randomization for Discrete Diffusion Models.
CoRR
Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
2023 A* conf
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study.
ICLR
Yiwen Kou, Zixiang Chen, Yuan Cao, Quanquan Gu
2023 A* conf
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data.
NeurIPS
Yiwen Kou, Zixiang Chen, Quanquan Gu
2023 J jnl
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data.
CoRR
Yiwen Kou, Zixiang Chen, Quanquan Gu
2023 A* conf
Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
NeurIPS
Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
2023 J jnl
Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
CoRR
Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
2022 A* conf
Certified Adversarial Robustness Under the Bounded Support Set.
ICML
Yiwen Kou, Qinyuan Zheng, Yisen Wang