On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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3 results for “Autoscaling”

Reinforcement Learning-based Application Autoscaling in the Cloud: A Surveycs.DC

RL enhances cloud autoscaling by learning optimal resource allocation.

problem Optimizing resource allocation in dynamic, uncertain cloud environments.

method Reinforcement Learning for dynamic, transparent, and adaptable resource management policies.

result RL enables transparent, dynamic, and adaptable resource management policies.

Reinforcement Learning Autoscaling Cloud Computing Resource Management Dynamic Environment

2020-01-27abs ↗pdf ↗

Serverless inferencing on Kubernetescs.DC

KFServing simplifies serverless machine learning model deployment.

problem Autoscaling and cost management for machine learning models.

method KFServing project on KNative serverless platform.

result Consistent and simple interface for data scientists to deploy models.

serverless machine learning Kubernetes autoscaling cost management

2020-07-14abs ↗pdf ↗

Large batch size training of neural networks with adversarial training and second-order informationcs.LG

The most straightforward method to accelerate Stochastic Gradient Descent (SGD) computation is to distribute the randomly selected batch of inputs over multiple processors. To keep the distributed processors fully utilized requires commensurately growing the batch size. However, large batch training often leads to poor…

2018-10-02abs ↗pdf ↗