Hengrui Cai

According to our database1, Hengrui Cai authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Is Knowledge All Large Language Models Needed for Causal Reasoning?
CoRR, 2024

2023
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments.
J. Mach. Learn. Res., 2023

Sequential Knockoffs for Variable Selection in Reinforcement Learning.
CoRR, 2023

On Learning Necessary and Sufficient Causal Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Trustworthy Explanation: On Causal Rationalization.
Proceedings of the International Conference on Machine Learning, 2023

On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs.
Proceedings of the International Conference on Machine Learning, 2023

2022
Heterogeneous Synthetic Learner for Panel Data.
CoRR, 2022

2021
Jump Interval-Learning for Individualized Decision Making.
CoRR, 2021

Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning.
CoRR, 2021

CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search.
CoRR, 2021

Periodic-GP: Learning Periodic World with Gaussian Process Bandits.
CoRR, 2021

Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space.
CoRR, 2020

On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies.
Proceedings of the 37th International Conference on Machine Learning, 2020


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