Eric Liang
9 papers · 2018–2023 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(6)
🏆
Keyword Champion
(2)
📈
Trend Setter
Conferences
ICML (3)
OSDI (2)
CORL (1)
ICLR (1)
NIPS (1)
NSDI (1)
Top co-authors
Research topics
Keywords
distributed computing
(2)
distributed reinforcement learning
(2)
reinforcement learning
(2)
parallel computation
(2)
fault tolerance
(2)
data augmentation
(1)
density estimation
(1)
neural network training
(1)
autonomous vehicle
(1)
autoregressive model
(1)
policy optimization
(1)
task graph
(1)
distributed transaction
(1)
exactly-once semantics
(1)
fault tolerant system
(1)
actor model
(1)
task parallel computation
(1)
workflow system
(1)
recovery optimization
(1)
approximate inference
(1)
Papers
ExoFlow: A Universal Workflow System for Exactly-Once DAGs
OSDI 2023
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
NIPS 2021
Ownership: A Distributed Futures System for Fine-Grained Tasks
NSDI 2021
Variable Skipping for Autoregressive Range Density Estimation
ICML 2020
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
ICLR 2020
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
ICML 2019
RLlib: Abstractions for Distributed Reinforcement Learning
ICML 2018
Benchmarks for reinforcement learning in mixed-autonomy traffic
CORL 2018
Ray: A Distributed Framework for Emerging AI Applications
OSDI 2018