Zhao, Yunfan

11 publications

AAAI 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

AAAI 2025 The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj, Aparna Taneja, Milind Tambe

NeurIPS 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

UAI 2024 Group Fairness in Predict-Then-Optimize Settings for Restless Bandits Shresth Verma, Yunfan Zhao, Sanket Shah, Niclas Boehmer, Aparna Taneja, Milind Tambe

ICLRW 2024 Implicit Two-Tower Policies Yunfan Zhao, Alvin Pan, Krzysztof Marcin Choromanski, Deepali Jain, Vikas Sindhwani

JMLR 2024 Regimes of No Gain in Multi-Class Active Learning Gan Yuan, Yunfan Zhao, Samory Kpotufe

ICLR 2024 Scalable Neural Network Kernels Arijit Sehanobish, Krzysztof Marcin Choromanski, Yunfan Zhao, Kumar Avinava Dubey, Valerii Likhosherstov

IJCAI 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

AISTATS 2023 Balanced Off-Policy Evaluation for Personalized Pricing Adam Elmachtoub, Vishal Gupta, Yunfan Zhao

ICML 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, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller

AISTATS 2022 Nuances in Margin Conditions Determine Gains in Active Learning Samory Kpotufe, Gan Yuan, Yunfan Zhao