Yunfan Zhao

According to our database, Yunfan Zhao authored at least 20 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact.

Yunfan Zhao, Niclas Boehmer, Aparna Taneja, Milind Tambe

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

The Bandit Whisperer: Communication Learning for Restless Bandits.

Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj, Aparna Taneja, Milind Tambe

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach.

Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Regimes of No Gain in Multi-class Active Learning.

Gan Yuan, Yunfan Zhao, Samory Kpotufe

J. Mach. Learn. Res., 2024

Group Fairness in Predict-Then-Optimize Settings for Restless Bandits.

Shresth Verma, Yunfan Zhao, Sanket Shah, Niclas Boehmer, Aparna Taneja, Milind Tambe

Proceedings of the Uncertainty in Artificial Intelligence, 2024

A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health.

Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization.

Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Scalable Neural Network Kernels.

Arijit Sehanobish, Krzysztof Marcin Choromanski, Yunfan Zhao, Kumar Avinava Dubey, Valerii Likhosherstov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving the prediction of individual engagement in recommendations using cognitive models.

Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, Cleotilde Gonzalez

Proceedings of the 6th International Workshop on Health Recommender Systems (HealthRecSys 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Towards Zero Shot Learning in Restless Multi-armed Bandits.

Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

A sentiment-enhanced hybrid model for crude oil price forecasting.

Yan Fang, Wenyan Wang, Pengcheng Wu, Yunfan Zhao

Expert Syst. Appl., April, 2023

Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective.

Adam N. Elmachtoub, Henry Lam, Haofeng Zhang, Yunfan Zhao

CoRR, 2023

Efficient Graph Field Integrators Meet Point Clouds.

Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller

Proceedings of the International Conference on Machine Learning, 2023

Balanced Off-Policy Evaluation for Personalized Pricing.

Adam N. Elmachtoub, Vishal Gupta, Yunfan Zhao

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

2022

A comparison study on responsiveness of three mechanisms to affirmative action in school choice.

Yajing Chen, Yanyue Huang, Zhenhua Jiao, Yunfan Zhao

Oper. Res. Lett., 2022

Implicit Two-Tower Policies.

Yunfan Zhao, Qingkai Pan, Krzysztof Choromanski, Deepali Jain, Vikas Sindhwani

CoRR, 2022

Perfect Domination Ratios of Archimedean Lattices.

Yunfan Zhao, John C. Wierman, Thomas G. Marge

Electron. J. Comb., 2022

Data Signal Processing and Machine Learning for Motion Detection; A Solution for Postoperative Breast Cancer Rehabilitation.

Tantai Davis, Carl-Michael Adams, Jiaxin Zhao, Yunfan Zhao, Niall O'Rourke, Haonan Peng, Avi Geiger, John Raiti

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

A Wearable Device For Postoperative Breast Cancer Rehabilitation With Machine Learning For Motion Tracking.

Yunfan Zhao, Carl-Michael Adams, Tantai Davis, Jiaxin Zhao, Niall O'Rourke, Haonan Peng, Avi Geiger, John Raiti

Proceedings of the IEEE Global Humanitarian Technology Conference, 2022

Nuances in Margin Conditions Determine Gains in Active Learning.

Samory Kpotufe, Gan Yuan, Yunfan Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022