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ORCIDYunfan Zhao
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2020 – today
- 2024
[j4]Gan Yuan, Yunfan Zhao, Samory Kpotufe:
Regimes of No Gain in Multi-class Active Learning. J. Mach. Learn. Res. 25: 129:1-129:31 (2024)- [c10]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards Zero Shot Learning in Restless Multi-armed Bandits. AAMAS 2024: 2618-2620 - [c9]Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, Cleotilde Gonzalez:
Improving the prediction of individual engagement in recommendations using cognitive models. HealthRecSys@RecSys 2024: 41-54 - [c8]Arijit Sehanobish, Krzysztof Marcin Choromanski, Yunfan Zhao, Kumar Avinava Dubey, Valerii Likhosherstov:
Scalable Neural Network Kernels. ICLR 2024 - [c7]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. IJCAI 2024: 321-329 - [c6]Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe:
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. NeurIPS 2024 - [i12]Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe:
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. CoRR abs/2402.14807 (2024) - [i11]Yunfan Zhao, Tonghan Wang, Dheeraj Nagaraj, Aparna Taneja, Milind Tambe:
The Bandit Whisperer: Communication Learning for Restless Bandits. CoRR abs/2408.05686 (2024) - [i10]Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, Cleotilde Gonzalez:
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models. CoRR abs/2408.16147 (2024) - [i9]Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe:
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach. CoRR abs/2410.08377 (2024) - [i8]Yunfan Zhao, Niclas Boehmer, Aparna Taneja, Milind Tambe:
Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact. CoRR abs/2412.07880 (2024) - 2023
- [j3]Yan Fang
, Wenyan Wang, Pengcheng Wu, Yunfan Zhao:
A sentiment-enhanced hybrid model for crude oil price forecasting. Expert Syst. Appl. 215: 119329 (2023) - [c5]Adam N. Elmachtoub, Vishal Gupta, Yunfan Zhao:
Balanced Off-Policy Evaluation for Personalized Pricing. AISTATS 2023: 10901-10917 - [c4]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:
Efficient Graph Field Integrators Meet Point Clouds. ICML 2023: 5978-6004 - [i7]Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller:
Efficient Graph Field Integrators Meet Point Clouds. CoRR abs/2302.00942 (2023) - [i6]Adam N. Elmachtoub, Vishal Gupta, Yunfan Zhao:
Balanced Off-Policy Evaluation for Personalized Pricing. CoRR abs/2302.12736 (2023) - [i5]Adam N. Elmachtoub, Henry Lam, Haofeng Zhang, Yunfan Zhao:
Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective. CoRR abs/2304.06833 (2023) - [i4]Arijit Sehanobish, Krzysztof Choromanski, Yunfan Zhao, Avinava Dubey, Valerii Likhosherstov:
Scalable Neural Network Kernels. CoRR abs/2310.13225 (2023) - [i3]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards Zero Shot Learning in Restless Multi-armed Bandits. CoRR abs/2310.14526 (2023) - 2022
- [j2]Yunfan Zhao, John C. Wierman, Thomas G. Marge:
Perfect Domination Ratios of Archimedean Lattices. Electron. J. Comb. 29(3) (2022) - [j1]Yajing Chen, Yanyue Huang, Zhenhua Jiao, Yunfan Zhao:
A comparison study on responsiveness of three mechanisms to affirmative action in school choice. Oper. Res. Lett. 50(5): 488-494 (2022) - [c3]Samory Kpotufe, Gan Yuan, Yunfan Zhao:
Nuances in Margin Conditions Determine Gains in Active Learning. AISTATS 2022: 8112-8126 - [c2]Yunfan Zhao, Carl-Michael Adams, Tantai Davis, Jiaxin Zhao, Niall O'Rourke, Haonan Peng, Avi Geiger, John Raiti:
A Wearable Device For Postoperative Breast Cancer Rehabilitation With Machine Learning For Motion Tracking. GHTC 2022: 437-440 - [c1]Tantai Davis, Carl-Michael Adams, Jiaxin Zhao, Yunfan Zhao, Niall O'Rourke, Haonan Peng, Avi Geiger, John Raiti:
Data Signal Processing and Machine Learning for Motion Detection; A Solution for Postoperative Breast Cancer Rehabilitation. PETRA 2022: 327-329 - [i2]Yunfan Zhao, Qingkai Pan, Krzysztof Choromanski, Deepali Jain, Vikas Sindhwani:
Implicit Two-Tower Policies. CoRR abs/2208.01191 (2022) - 2021
- [i1]Samory Kpotufe, Gan Yuan, Yunfan Zhao:
Nuances in Margin Conditions Determine Gains in Active Learning. CoRR abs/2110.08418 (2021)
Coauthor Index
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