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2020 – today
- 2024
[c9]Michael Luo, Siyuan Zhuang, Suryaprakash Vengadesan, Romil Bhardwaj, Justin Chang, Eric J. Friedman, Scott Shenker, Ion Stoica:
Starburst: A Cost-aware Scheduler for Hybrid Cloud. USENIX ATC 2024: 37-57- [i10]Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica:
Stylus: Automatic Adapter Selection for Diffusion Models. CoRR abs/2404.18928 (2024) - 2023
- [c8]Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica:
SkyPilot: An Intercloud Broker for Sky Computing. NSDI 2023: 437-455 - 2022
- [c7]Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica:
Balsa: Learning a Query Optimizer Without Expert Demonstrations. SIGMOD Conference 2022: 931-944 - [i9]Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica:
Balsa: Learning a Query Optimizer Without Expert Demonstrations. CoRR abs/2201.01441 (2022) - 2021
- [j2]Brijen Thananjeyan
, Ashwin Balakrishna, Suraj Nair, Michael Luo, Krishnan Srinivasan, Minho Hwang, Joseph E. Gonzalez, Julian Ibarz, Chelsea Finn, Ken Goldberg:
Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones. IEEE Robotics Autom. Lett. 6(3): 4915-4922 (2021) - [c6]Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg:
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. CASE 2021: 502-509 - [c5]Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao:
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. ICLR 2021 - [c4]Yahav Avigal, Anna Deza, William Wong, Sebastian Oehme, Mark Presten, Mark Theis, Jackson Chui, Paul Shao, Huang Huang, Atsunobu Kotani, Satvik Sharma, Rishi Parikh, Michael Luo, Sandeep Mukherjee, Stefano Carpin, Joshua H. Viers, Stavros Vougioukas, Ken Goldberg:
Learning Seed Placements and Automation Policies for Polyculture Farming with Companion Plants. ICRA 2021: 902-908 - [c3]Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E. Gonzalez, Ion Stoica:
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem. NeurIPS 2021: 5506-5517 - [c2]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. NeurIPS 2021: 21043-21055 - [i8]Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg:
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. CoRR abs/2104.00053 (2021) - [i7]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. CoRR abs/2107.10847 (2021) - [i6]Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao:
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. CoRR abs/2110.15797 (2021) - [i5]Michael Luo, Ashwin Balakrishna, Brijen Thananjeyan, Suraj Nair, Julian Ibarz, Jie Tan, Chelsea Finn, Ion Stoica, Ken Goldberg:
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance. CoRR abs/2112.03575 (2021) - 2020
- [c1]Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica:
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. ICLR 2020 - [i4]Brijen Thananjeyan, Ashwin Balakrishna, Suraj Nair, Michael Luo, Krishnan Srinivasan, Minho Hwang, Joseph E. Gonzalez, Julian Ibarz, Chelsea Finn, Ken Goldberg:
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones. CoRR abs/2010.15920 (2020) - [i3]Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica:
Distributed Reinforcement Learning is a Dataflow Problem. CoRR abs/2011.12719 (2020) - [i2]Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths:
Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. CoRR abs/2011.13782 (2020)
2010 – 2019
- 2019
- [i1]Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica:
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. CoRR abs/1912.00167 (2019) - 2014
- [j1]Mark Yaffe, Michael Luo, Nitin Goyal, Philip Chan, Anay Patel, Max Cayo, S. David Stulberg:
Clinical, functional, and radiographic outcomes following total knee arthroplasty with patient-specific instrumentation, computer-assisted surgery, and manual instrumentation: a short-term follow-up study. Int. J. Comput. Assist. Radiol. Surg. 9(5): 837-844 (2014)
Coauthor Index
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