Nuances in Margin Conditions Determine Gains in Active Learning. - Samory Kpotufe; Gan Yuan; Yunfan Zhao (AISTATS, 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 002; Avi Geiger; John Raiti (GHTC, 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 002; Avi Geiger; John Raiti (PETRA, 2022)

Perfect Domination Ratios of Archimedean Lattices. - Yunfan Zhao; John C. Wierman; Thomas G. Marge (Electron. J. Comb., 2022)

Implicit Two-Tower Policies. - Yunfan Zhao; Qingkai Pan; Krzysztof Choromanski; Deepali Jain; Vikas Sindhwani (CoRR, 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)

Balanced Off-Policy Evaluation for Personalized Pricing. - Adam N. Elmachtoub; Vishal Gupta 004; Yunfan Zhao (AISTATS, 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; et al. (ICML, 2023)

Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective. - Adam N. Elmachtoub; Henry Lam; Haofeng Zhang 002; Yunfan Zhao (CoRR, 2023)

A sentiment-enhanced hybrid model for crude oil price forecasting. - Yan Fang; Wenyan Wang; Pengcheng Wu; Yunfan Zhao (Expert Syst. Appl., 2023)

Towards Zero Shot Learning in Restless Multi-armed Bandits. - Yunfan Zhao; Nikhil Behari; Edward Hughes 001; Edwin Zhang; Dheeraj Nagaraj; Karl Tuyls; Aparna Taneja; Milind Tambe (AAMAS, 2024)

Improving the prediction of individual engagement in recommendations using cognitive models. - Roderick Seow; Yunfan Zhao; Duncan Wood; Milind Tambe; Cleotilde Gonzalez (HealthRecSys@RecSys, 2024)

Scalable Neural Network Kernels. - Arijit Sehanobish; Krzysztof Marcin Choromanski; Yunfan Zhao; Kumar Avinava Dubey; Valerii Likhosherstov (ICLR, 2024)

Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. - Yunfan Zhao; Nikhil Behari; Edward Hughes 001; Edwin Zhang; Dheeraj Nagaraj; Karl Tuyls; Aparna Taneja; Milind Tambe (IJCAI, 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 (NeurIPS, 2024)

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

Regimes of No Gain in Multi-class Active Learning. - Gan Yuan; Yunfan Zhao; Samory Kpotufe (J. Mach. Learn. Res., 2024)

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 001; Dheeraj Mysore Nagaraj; Aparna Taneja; Milind Tambe (AAAI, 2025)

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact. - Yunfan Zhao; Niclas Boehmer; Aparna Taneja; Milind Tambe (AAMAS, 2025)