Mao, Hongzi

6 publications

NeurIPS 2020 High-Dimensional Contextual Policy Search with Unknown Context Rewards Using Bayesian Optimization Qing Feng, Ben Letham, Hongzi Mao, Eytan Bakshy

NeurIPS 2019 Learning Generalizable Device Placement Algorithms for Distributed Machine Learning Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh

ICMLW 2019 Park: An Open Platform for Learning Augmented Computer Systems Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh

NeurIPS 2019 Park: An Open Platform for Learning-Augmented Computer Systems Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Dr.Mohammad Alizadeh

ICMLW 2019 Real-World Video Adaptation with Reinforcement Learning Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy

ICLR 2019 Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh