Richard Liaw
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
9
Active years
2016–2022
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CLOUD | ESCHER: expressive scheduling with ephemeral resources. | Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica |
| 2022 | RecSys | REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. | Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond |
| 2021 | CLOUD | Elastic Hyperparameter Tuning on the Cloud. | Lisa Dunlap, Kirthevasan Kandasamy, Ujval Misra, Richard Liaw, Michael I. Jordan, Ion Stoica, Joseph E. Gonzalez |
| 2021 | EuroSys | RubberBand: cloud-based hyperparameter tuning. | Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov |
| 2020 | ICLR | IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. | Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica |
| 2019 | CLOUD | HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. | Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov |
| 2018 | CoRL | Benchmarks for reinforcement learning in mixed-autonomy traffic. | Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen |
| 2018 | ICML | RLlib: Abstractions for Distributed Reinforcement Learning. | Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica |
| 2018 | OSDI | Ray: A Distributed Framework for Emerging AI Applications. | Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica |
| 2017 | HotOS | Real-Time Machine Learning: The Missing Pieces. | Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica |
| 2016 | WAFR | SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards. | Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny, Ken Goldberg |