Nian Si

Orcid: 0000-0002-4730-543X

According to our database1, Nian Si authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models.
CoRR, 2024

Seller-Side Experiments under Interference Induced by Feedback Loops in Two-Sided Platforms.
CoRR, 2024

2023
Distributionally Robust Batch Contextual Bandits.
Manag. Sci., October, 2023

Singular Control of (Reflected) Brownian Motion: A Computational Method Suitable for Queueing Applications.
CoRR, 2023

On the Foundation of Distributionally Robust Reinforcement Learning.
CoRR, 2023

Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach.
CoRR, 2023

Drift Control of High-Dimensional RBM: A Computational Method Based on Neural Networks.
CoRR, 2023

Sample Complexity of Variance-reduced Distributionally Robust Q-learning.
CoRR, 2023

A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators.
Proceedings of the Winter Simulation Conference, 2023

Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Finite Sample Complexity Bound for Distributionally Robust Q-learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021
Testing Group Fairness via Optimal Transport Projections.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Distributional Robust Batch Contextual Bandits.
CoRR, 2020

Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits.
Proceedings of the 37th International Conference on Machine Learning, 2020

Robust Bayesian Classification Using An Optimistic Score Ratio.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Optimal uncertainty size in distributionally robust inverse covariance estimation.
Oper. Res. Lett., 2019


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