Philipp Moritz

According to our database1, Philipp Moritz authored at least 18 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
ESCHER: expressive scheduling with ephemeral resources.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems.
Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

2020
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems.
CoRR, 2020

2019
Ray: A Distributed Execution Engine for the Machine Learning Ecosystem.
PhD thesis, 2019

Policy Gradient Search: Online Planning and Expert Iteration without Search Trees.
CoRR, 2019

Lineage stash: fault tolerance off the critical path.
Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

2018
Tune: A Research Platform for Distributed Model Selection and Training.
CoRR, 2018

Ray: A Distributed Framework for Emerging AI Applications.
Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

RLlib: Abstractions for Distributed Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Ray RLLib: A Composable and Scalable Reinforcement Learning Library.
CoRR, 2017

Ray: A Distributed Framework for Emerging AI Applications.
CoRR, 2017

Real-Time Machine Learning: The Missing Pieces.
CoRR, 2017

Real-Time Machine Learning: The Missing Pieces.
Proceedings of the 16th Workshop on Hot Topics in Operating Systems, 2017

2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation.
Proceedings of the 4th International Conference on Learning Representations, 2016

SparkNet: Training Deep Networks in Spark.
Proceedings of the 4th International Conference on Learning Representations, 2016

A Linearly-Convergent Stochastic L-BFGS Algorithm.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Trust Region Policy Optimization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Discriminating between causal structures in Bayesian Networks given partial observations.
Kybernetika, 2014


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