Will Wei Sun
Mathematics · Purdue University West Lafayette
Publications
81
Citations
768
Est. group size
—
Recurring co-author estimate
Active years
12
Publishing since 2015
Will Wei Sun works on statistical methods for analyzing complex, multi-dimensional data (called tensors), online decision-making problems like bandit algorithms and dynamic pricing, and modern inference techniques such as prediction-powered inference and privacy-preserving methods for ranking and reinforcement learning. His work often bridges statistics with operations research and applications like advertising and large language model evaluation. This research is generally methodological, developing mathematical and computational tools that can be applied to business analytics, machine learning, and decision systems.
Publication output has grown fairly steadily over the last decade, rising from single digits per year to a peak in 2024 and 2026, with a temporary dip in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
Open MIND · 2026
- PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
arXiv (Cornell University) · 2026
- Online Tensor Inference
Operations Research · 2026
- Do More Predictions Improve Statistical Inference? Filtered Prediction-Powered Inference
Open MIND · 2026
- Do More Predictions Improve Statistical Inference? Filtered Prediction-Powered Inference
arXiv (Cornell University) · 2026
- PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
SSRN Electronic Journal · 2026
- Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling
arXiv (Cornell University) · 2026
- Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling
arXiv (Cornell University) · 2026
- Policy-Aware Design of Large-Scale Factorial Experiments
arXiv (Cornell University) · 2026
- Policy-Aware Design of Large-Scale Factorial Experiments
arXiv (Cornell University) · 2026
- Low Rank for Rank: Uncertainty-Aware Task-Specific LLM Ranking under Sparse Pairwise Comparisons
arXiv (Cornell University) · 2026
- Low Rank for Rank: Uncertainty-Aware Task-Specific LLM Ranking under Sparse Pairwise Comparisons
arXiv (Cornell University) · 2026
- Rate-Optimal Rank Aggregation with Private Pairwise Rankings
Journal of the American Statistical Association · 2025
- Fairness-Aware Contextual Dynamic Pricing with Strategic Buyers
arXiv (Cornell University) · 2025
- Evaluating multimedia advertising campaign effectiveness
Decision Support Systems · 2024
- arXiv (Cornell University)×40
- Journal of the American Statistical Association×9
- Figshare×9
- Journal of Computational and Graphical Statistics×2
- PubMed×2
- Arnab Auddy
Mathematics · The Ohio State University
- Qingsong Wang
Engineering · The Ohio State University
- Chen Chen
Mathematics · The Ohio State University
- Mohammad Pedramfar
Decision Sciences · Purdue University West Lafayette
- Zhanyu Wang
Mathematics · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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