Will Wei Sun

Orcid: 0000-0002-8412-6430

Affiliations:
  • Purdue University, Krannert School of Management, West Lafayette, IN, USA
  • University of Miami, School of Business Administration, FL, USA
  • Yahoo Labs, Sunnyvale, CA, USA


According to our database1, Will Wei Sun authored at least 26 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data.
CoRR, 2024

Rate-Optimal Rank Aggregation with Private Pairwise Rankings.
CoRR, 2024

2023
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies.
J. Comput. Graph. Stat., January, 2023

Online Tensor Inference.
CoRR, 2023

Contextual Dynamic Pricing with Strategic Buyers.
CoRR, 2023

Utility Theory of Synthetic Data Generation.
CoRR, 2023

Ranking Differential Privacy.
CoRR, 2023

2022
Online Statistical Inference for Matrix Contextual Bandit.
CoRR, 2022

Rate-Optimal Contextual Online Matching Bandit.
CoRR, 2022

Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Sparse Tensor Additive Regression.
J. Mach. Learn. Res., 2021

Distribution-free Contextual Dynamic Pricing.
CoRR, 2021

Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning.
CoRR, 2021

Covariate-assisted Sparse Tensor Completion.
CoRR, 2021

2020
Tensor Graphical Model: Non-Convex Optimization and Statistical Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Provable Convex Co-clustering of Tensors.
J. Mach. Learn. Res., 2020

Low-rank Tensor Bandits.
CoRR, 2020

Online Regularization for High-Dimensional Dynamic Pricing Algorithms.
CoRR, 2020

Partially Observed Dynamic Tensor Response Regression.
CoRR, 2020

2017
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis.
J. Mach. Learn. Res., 2017

Simultaneous Clustering and Estimation of Heterogeneous Graphical Models.
J. Mach. Learn. Res., 2017

2015
What Size Should A Mobile Ad Be?
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Non-convex Statistical Optimization for Sparse Tensor Graphical Model.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Causal Inference via Sparse Additive Models with Application to Online Advertising.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Nearest Neighbor Classifier with Optimal Stability.
CoRR, 2014


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