Nearest Neighbor Classifier with Optimal Stability. - Wei Sun 027; Xingye Qiao; Guang Cheng 003 (CoRR, 2014)

Causal Inference via Sparse Additive Models with Application to Online Advertising. - Wei Sun 027; Pengyuan Wang 001; Dawei Yin; Jian Yang 002; Yi Chang 001 (AAAI, 2015)

Non-convex Statistical Optimization for Sparse Tensor Graphical Model. - Wei Sun 027; Zhaoran Wang 001; Han Liu 001; Guang Cheng 003 (NIPS, 2015)

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. - Pengyuan Wang 001; Wei Sun 027; Dawei Yin; Jian Yang 002; Yi Chang 001 (WSDM, 2015)

What Size Should A Mobile Ad Be? - Pengyuan Wang 001; Wei Sun 027; Dawei Yin (WWW (Companion Volume), 2015)

Stability of machine learning algorithms - Will Wei Sun (2015)

Simultaneous Clustering and Estimation of Heterogeneous Graphical Models. - Botao Hao; Will Wei Sun; Yufeng Liu; Guang Cheng 003 (J. Mach. Learn. Res., 2017)

STORE: Sparse Tensor Response Regression and Neuroimaging Analysis. - Will Wei Sun; Lexin Li (J. Mach. Learn. Res., 2017)

Sketching Method for Large Scale Combinatorial Inference. - Wei Sun 027; Junwei Lu; Han Liu 001 (NeurIPS, 2018)

Partially Observed Dynamic Tensor Response Regression. - Jie Zhou; Will Wei Sun; Jingfei Zhang; Lexin Li (CoRR, 2020)

Online Regularization for High-Dimensional Dynamic Pricing Algorithms. - Chi-Hua Wang; Zhanyu Wang; Will Wei Sun; Guang Cheng 003 (CoRR, 2020)

Low-rank Tensor Bandits. - Botao Hao; Jie Zhou; Zheng Wen 002; Will Wei Sun (CoRR, 2020)

Provable Convex Co-clustering of Tensors. - Eric C. Chi; Brian J. Gaines; Will Wei Sun; Hua Zhou 001; Jian Yang 002 (J. Mach. Learn. Res., 2020)

Tensor Graphical Model: Non-Convex Optimization and Statistical Inference. - Xiang Lyu; Will Wei Sun; Zhaoran Wang 001; Han Liu 001; Jian Yang 002; Guang Cheng 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Covariate-assisted Sparse Tensor Completion. - Hilda S. Ibriga; Will Wei Sun (CoRR, 2021)

Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning. - Pratik Ramprasad; Yuantong Li; Zhuoran Yang; Zhaoran Wang 001; Will Wei Sun; Guang Cheng 003 (CoRR, 2021)

Sparse Tensor Additive Regression. - Botao Hao; Boxiang Wang; Pengyuan Wang 001; Jingfei Zhang; Jian Yang 002; Will Wei Sun (J. Mach. Learn. Res., 2021)

Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets. - Yiyun Luo; Will Wei Sun; Yufeng Liu (NeurIPS, 2022)

Rate-Optimal Contextual Online Matching Bandit. - Yuantong Li; Chi-Hua Wang; Guang Cheng 003; Will Wei Sun (CoRR, 2022)

Online Statistical Inference for Matrix Contextual Bandit. - Qiyu Han; Will Wei Sun; Yichen Zhang (CoRR, 2022)

Ranking Differential Privacy. - Shirong Xu; Will Wei Sun; Guang Cheng 003 (CoRR, 2023)

Utility Theory of Synthetic Data Generation. - Shirong Xu; Will Wei Sun; Guang Cheng 003 (CoRR, 2023)

Contextual Dynamic Pricing with Strategic Buyers. - Pangpang Liu; Zhuoran Yang; Zhaoran Wang 001; Will Wei Sun (CoRR, 2023)

Online Tensor Inference. - Xin Wen; Will Wei Sun; Yichen Zhang (CoRR, 2023)

Binary Classification under Local Label Differential Privacy Using Randomized Response Mechanisms. - Shirong Xu; Chendi Wang; Will Wei Sun; Guang Cheng 003 (Trans. Mach. Learn. Res., 2023)

Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies. - Jingfei Zhang; Will Wei Sun; Lexin Li (J. Comput. Graph. Stat., 2023)

Active Learning for Fair and Stable Online Allocations. - Riddhiman Bhattacharya; Thanh Nguyen 001; Will Wei Sun; Mohit Tawarmalani (EC, 2024)

Rate-Optimal Rank Aggregation with Private Pairwise Rankings. - Shirong Xu; Will Wei Sun; Guang Cheng 003 (CoRR, 2024)

Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data. - Danyang Wang; Chengchun Shi; Shikai Luo; Will Wei Sun (CoRR, 2024)

Low-Rank Online Dynamic Assortment with Dual Contextual Information. - Seong Jin Lee; Will Wei Sun; Yufeng Liu (CoRR, 2024)

Active Learning for Fair and Stable Online Allocations. - Riddhiman Bhattacharya; Thanh Nguyen; Will Wei Sun; Mohit Tawarmalani (CoRR, 2024)

Dual Active Learning for Reinforcement Learning from Human Feedback. - Pangpang Liu; Chengchun Shi; Will Wei Sun (CoRR, 2024)

Privacy-Preserving Dynamic Assortment Selection. - Young Hyun Cho; Will Wei Sun (CoRR, 2024)

Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback. - Seong Jin Lee; Will Wei Sun; Yufeng Liu (CoRR, 2024)

Evaluating multimedia advertising campaign effectiveness. - Pengyuan Wang 001; Guiyang Xiong; Will Wei Sun; Jian Yang 002 (Decis. Support Syst., 2024)

Distribution-Free Contextual Dynamic Pricing. - Yiyun Luo; Will Wei Sun; Yufeng Liu (Math. Oper. Res., 2024)

Jointly Modeling and Clustering Tensors in High Dimensions. - Biao Cai; Jingfei Zhang; Will Wei Sun (Oper. Res., 2025)

Fairness-aware Contextual Dynamic Pricing with Strategic Buyers. - Pangpang Liu; Will Wei Sun (CoRR, 2025)