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.

169,181 papers · 148 categories

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6 results for “Multi-tenant”

Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloadscs.DB

ease.ml enables multiple research groups to share resources for machine learning tasks.

problem Resource allocation in a multi-tenant machine learning environment.

method Formalized multi-tenant model selection problem, developed a novel algorithm combining multi-armed bandits and Bayesian optimization.

result The proposed algorithm achieves up to 9.8x faster global quality for all users compared to heuristics.

machine learning resource allocation multi-tenant bandits Bayesian optimization

2017-08-24abs ↗pdf ↗

DeepPlace: Learning to Place Applications in Multi-Tenant Clusterscs.DC

DeepPlace learns to place applications in clusters using RL.

problem Manual placement rules for scheduling are non-trivial and suboptimal.

method Uses Deep Reinforcement Learning to learn optimal placement rules.

result Reduces resource competition and optimizes cluster utilization.

Deep Reinforcement Learning Cluster Scheduling Application Placement Resource Competition Cluster Utilization

2019-07-30abs ↗pdf ↗

AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EIcs.LG

Paper tackles efficient allocation of multiple devices to users for AutoML services.

problem Allocating multiple devices to multiple users for AutoML services efficiently.

method Develops a multi-device, multi-tenant algorithm for GP-EI, achieving near-linear speedup.

result Achieves near-linear speedup when users are many more than devices.

AutoML GP-EI Multi-device Multi-tenant Regret bound

2018-03-17abs ↗pdf ↗

"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalizationcs.IR

Personalizes query completion in digital commerce with image-based vectors.

problem High bounce rate and low recurring users in query completion.

method Injects dense vectors from product images into a noisy channel model.

result Image-based personalization improves query completion and user experience.

personalization query completion digital commerce image vectors noisy channel

2020-03-11abs ↗pdf ↗

DLHub: Model and Data Serving for Sciencecs.LG

DLHub enables sharing and serving of scientific ML models.

problem Lack of specialized ML systems for scientific applications.

method Self-service model repository and scalable serving capabilities.

result DLHub offers better performance and more capabilities than existing systems.

DLHub model serving scientific ML reproducibility Python models

2018-11-27abs ↗pdf ↗

A Non-Intrusive Load Monitoring Approach for Very Short Term Power Predictions in Commercial Buildingseess.SP

New algorithm extracts device profiles for short-term power predictions in commercial buildings.

problem Short-term power prediction in commercial buildings with high accuracy.

method Unsupervised extraction of device profiles from aggregate power measurements, disaggregation using particle swarm optimization, and state changes forecast by artificial neural networks.

result Developed approach outperforms existing methods with high accuracy.

power prediction commercial buildings device profiles short-term forecasting aggregate power

2020-07-23abs ↗pdf ↗