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10/09/2020
A Tensor Compiler for Unified Machine Learning Prediction Serving
Machine Learning (ML) adoption in the enterprise requires simpler and mo...
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06/01/2020
MLOS: An Infrastructure for Automated Software Performance Engineering
Developing modern systems software is a complex task that combines busin...
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06/01/2020
MLOS: An Infrastructure for AutomatedSoftware Performance Engineering
Developing modern systems software is a complex task that combines busin...
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12/19/2019
Data Science through the looking glass and what we found there
The recent success of machine learning (ML) has led to an explosive grow...
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11/01/2019
Extending Relational Query Processing with ML Inference
The broadening adoption of machine learning in the enterprise is increas...
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08/30/2019
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
Machine learning (ML) has proven itself in high-value web applications s...
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06/10/2019
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach
Classical Machine Learning (ML) pipelines often comprise of multiple ML ...
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05/14/2019
Machine Learning at Microsoft with ML .NET
Machine Learning is transitioning from an art and science into a technol...
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03/29/2019
SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
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03/05/2019
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers
There have been recent efforts for incorporating Graph Neural Network mo...
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12/16/2018
Coded Elastic Computing
Cloud providers have recently introduced low-priority machines to reduce...
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10/14/2018
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
Machine Learning models are often composed of pipelines of transformatio...
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03/30/2016