Rui Song

Shengjie Liu

CoRR, 2024

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Jump Interval-Learning for Individualized Decision Making with Continuous Treatments.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Large Language Model for Causal Decision Making.

[BibT_eX]

[DOI]

CoRR, 2023

Zero-Inflated Bandits.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Spectral Q-learning with Application to Mobile Health.

[BibT_eX]

[DOI]

Yuhe Gao

Chengchun Shi

CoRR, 2023

On Learning Necessary and Sufficient Causal Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Instrumental Variable Approach to Confounded Off-Policy Evaluation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Multiplier Bootstrap-based Exploration.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

A Reinforcement Learning Framework for Dynamic Mediation Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework.

[BibT_eX]

[DOI]

Lin Ge

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Probit Tensor Factorization Model For Relational Learning.

[BibT_eX]

[DOI]

J. Comput. Graph. Stat., July, 2022

KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond.

[BibT_eX]

[DOI]

SIGKDD Explor., 2022

Learning a deep dual-level network for robust DeepFake detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Rule mining over knowledge graphs via reinforcement learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Heterogeneous Synthetic Learner for Panel Data.

[BibT_eX]

[DOI]

CoRR, 2022

Quantile Off-Policy Evaluation via Deep Conditional Generative Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies.

[BibT_eX]

[DOI]

CoRR, 2022

Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons.

[BibT_eX]

[DOI]

CoRR, 2022

On Learning and Testing of Counterfactual Fairness through Data Preprocessing.

[BibT_eX]

[DOI]

CoRR, 2022

Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process.

[BibT_eX]

[DOI]

CoRR, 2022

A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets.

[BibT_eX]

[DOI]

CoRR, 2022

Reinforcement Learning with Heterogeneous Data: Estimation and Inference.

[BibT_eX]

[DOI]

Elynn Y. Chen

Michael I. Jordan

CoRR, 2022

Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Safe Exploration for Efficient Policy Evaluation and Comparison.

[BibT_eX]

[DOI]

Branislav Kveton

Proceedings of the International Conference on Machine Learning, 2022

Crossword Puzzle Resolution via Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

An Online Sequential Test for Qualitative Treatment Effects.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

A Review on Graph Neural Network Methods in Financial Applications.

[BibT_eX]

[DOI]

CoRR, 2021

Jump Interval-Learning for Individualized Decision Making.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Ye Shen

CoRR, 2021

Periodic-GP: Learning Periodic World with Gaussian Process Bandits.

[BibT_eX]

[DOI]

CoRR, 2021

Pattern Transfer Learning for Reinforcement Learning in Order Dispatching.

[BibT_eX]

[DOI]

CoRR, 2021

Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models.

[BibT_eX]

[DOI]

Lin Ge

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control.

[BibT_eX]

[DOI]

Xinyu Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deeply-Debiased Off-Policy Interval Estimation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Online Testing of Subgroup Treatment Effects Based on Value Difference.

[BibT_eX]

[DOI]

Miao Yu

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2020

Breaking the Curse of Nonregularity with Subagging - Inference of the Mean Outcome under Optimal Treatment Regimes.

[BibT_eX]

[DOI]

Chengchun Shi

J. Mach. Learn. Res., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Statistical Inference for Online Decision Making via Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Haoyu Chen

CoRR, 2020

Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting.

[BibT_eX]

[DOI]

Haoyu Chen

CoRR, 2020

Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread.

[BibT_eX]

[DOI]

Xinyu Zhang

CoRR, 2020

A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing.

[BibT_eX]

[DOI]

CoRR, 2020

Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings.

[BibT_eX]

[DOI]

CoRR, 2020

Kernel Assisted Learning for Personalized Dose Finding.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health.

[BibT_eX]

[DOI]

Liangyu Zhu

Proceedings of the 37th International Conference on Machine Learning, 2020

Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A New Framework for Online Testing of Heterogeneous Treatment Effect.

[BibT_eX]

[DOI]

Miao Yu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Determining the Number of Latent Factors in Statistical Multi-Relational Learning.

[BibT_eX]

[DOI]

Chengchun Shi

J. Mach. Learn. Res., 2019

Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2017

Sparse Concordance-assisted Learning for Optimal Treatment Decision.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Principal components adjusted variable screening.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2017

2014

Sure Screening for Gaussian Graphical Models.

[BibT_eX]

[DOI]

Shikai Luo

Daniela M. Witten

CoRR, 2014

2012

Integrative prescreening in analysis of multiple cancer genomic studies.

[BibT_eX]

[DOI]