Projects per year
Personal profile
Research interests
Mathematics & Statistics - Applied probability
Industrial engineering - Operations research
Industrial engineering - Stochastic modeling
Mathematics & Statistics - Robust optimization
Industrial engineering - Operations research
Industrial engineering - Stochastic modeling
Mathematics & Statistics - Robust optimization
Related documents
Education/Academic qualification
PhD in Management Science and Engineering, PhD Minor in Computer Science, PhD, Stanford University
2023
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 3 Active
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Dynamic Optimization Tractability and Statistical Learning Complexities for Distributionally Robust Markov Decision Processes beyond SA-Rectangularity
SI, N. (PI)
1/01/26 → 31/12/28
Project: Research
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Statistical Guarantees for Uncertainty Set Selection in Distributionally Robust Sequential Decision-Making
GRAND-CLÉMENT, J. (PI) & SI, N. (PI)
1/01/26 → 31/12/28
Project: Research
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Bias-Reduction Estimation and Statistical Inference for AB Testing in Two-Sided Platforms Under Interference
SI, N. (PI)
National Natural Science Foundation of China
1/01/26 → 31/12/28
Project: Research
Research output
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Drift Control of High-Dimensional Reflected Brownian Motion: A Computational Method Based on Neural Networks
Ata, B., Michael Harrison, J. & Si, N., Jun 2025, In: Stochastic Systems. 15, 2, p. 111-146 36 p.Research output: Contribution to journal › Journal Article › peer-review
Open Access -
Knowledge-Guided Wasserstein Distributionally Robust Optimization
Wang, Z., Wang, Z., Liu, M. & Si, N., 2025, In: Proceedings of Machine Learning Research. 267, p. 64711-64733 23 p.Research output: Contribution to journal › Conference article published in journal › peer-review
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ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
Liu, H., Ye, J. T., Blanchet, J. & Si, N., 2025, In: Proceedings of Machine Learning Research. 258, p. 4339-4347 9 p.Research output: Contribution to journal › Conference article published in journal › peer-review
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ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
LIU, H., YE, J. T., BLANCHET, J. & SI, N., May 2025.Research output: Contribution to conference › Conference Paper › peer-review
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Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
WANG, S., SI, N., BLANCHET, J. & ZHOU, Z., May 2025.Research output: Contribution to conference › Conference Paper › peer-review