Eric Liang
Eric Liang
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Ray: A Distributed Framework for Emerging AI Applications
P Moritz, R Nishihara, S Wang, A Tumanov, R Liaw, E Liang, M Elibol, ...
13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018
RLlib: Abstractions for distributed reinforcement learning
E Liang, R Liaw, P Moritz, R Nishihara, R Fox, K Goldberg, JE Gonzalez, ...
arXiv preprint arXiv:1712.09381, 2017
Tune: A research platform for distributed model selection and training
R Liaw, E Liang, R Nishihara, P Moritz, JE Gonzalez, I Stoica
arXiv preprint arXiv:1807.05118, 2018
Population based augmentation: Efficient learning of augmentation policy schedules
D Ho, E Liang, X Chen, I Stoica, P Abbeel
International Conference on Machine Learning, 2731-2741, 2019
Deep unsupervised cardinality estimation
Z Yang, E Liang, A Kamsetty, C Wu, Y Duan, X Chen, P Abbeel, ...
arXiv preprint arXiv:1905.04278, 2019
SparkR: Scaling R programs with Spark
S Venkataraman, Z Yang, D Liu, E Liang, H Falaki, X Meng, R Xin, ...
Proceedings of the 2016 International Conference on Management of Data, 1099 …, 2016
Benchmarks for reinforcement learning in mixed-autonomy traffic
E Vinitsky, A Kreidieh, L Le Flem, N Kheterpal, K Jang, C Wu, F Wu, ...
Conference on robot learning, 399-409, 2018
Neural packet classification
E Liang, H Zhu, X Jin, I Stoica
Proceedings of the ACM Special Interest Group on Data Communication, 256-269, 2019
Location-based image retrieval for urban environments
J Zhang, A Hallquist, E Liang, A Zakhor
2011 18th IEEE International Conference on Image Processing, 3677-3680, 2011
NeuroCard: one cardinality estimator for all tables
Z Yang, A Kamsetty, S Luan, E Liang, Y Duan, X Chen, I Stoica
arXiv preprint arXiv:2006.08109, 2020
Generalized scale independence through incremental precomputation
M Armbrust, E Liang, T Kraska, A Fox, MJ Franklin, DA Patterson
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
Directory level atomic commit protocol
EK Liang, S Shankar, S Xin
US Patent 11,068,447, 2021
Autoscaling using file access or cache usage for cluster machines
S Shankar, EK Liang
US Patent 10,810,051, 2020
Split front end for flexible back end cluster processing
S Shankar, EK Liang, GG Owen
US Patent 10,691,433, 2020
Scheduling a notebook execution
I Stoica, Y Mao, E Liang
US Patent 9,990,230, 2018
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
E Liang, Z Wu, M Luo, S Mika, JE Gonzalez, I Stoica
Advances in Neural Information Processing Systems 34, 5506-5517, 2021
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems
S Zhuang, Z Li, D Zhuo, S Wang, E Liang, R Nishihara, P Moritz, I Stoica
Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 641-656, 2021
Ownership: A Distributed Futures System for {Fine-Grained} Tasks
S Wang, E Liang, E Oakes, B Hindman, FS Luan, A Cheng, I Stoica
18th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2021
Variable skipping for autoregressive range density estimation
E Liang, Z Yang, I Stoica, P Abbeel, Y Duan, P Chen
International Conference on Machine Learning, 6040-6049, 2020
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
M Luo, J Yao, R Liaw, E Liang, I Stoica
arXiv preprint arXiv:1912.00167, 2019
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