Octoml, Inc.

Box Limited

Adelbert Chang

Luis Henrique Ceze

Matthew Welsh

Jared Roesch

An Wang

Andrew McHarg

Michal Piszczek

Fletcher Haynes

Tianqi Chen

Thierry Moreau

Jason Knight

Divya Jain

Benjamin John Kus

Shivani Rao

Justin Tim Peng

Lev Kantorovskiy

Sivaramakrishnan Subramanian

Nakul Chander

Lance Co Ting Keh

Jonathan Shih-Shuo Fan

Seena Burns

A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.

Optimizing machine learning models

Disclosed is an approach for performing auto-classification of documents. A machine learning framework is provided to analyze the document, where labels associated with certain documents can be propagated to other documents.

Method and system for implementing machine learning analysis of documents for classifying documents by associating label values to the documents

Optimizing machine learning models with a device farm

Systems and corresponding computer-implemented methods for context-based rule evaluation in an electronic data storage system are described. A request to perform an operation with respect to a resource is received from a client device, with the request including various attributes associated with the client device. At least one set of rules applicable to the operation is identified. The rules can be formed from a combination of primitives arranged to dynamically evaluate attributes associated with the resource and attributes associated with the client device. Based on the evaluation of the rule set(s), an action is identified to be performed with respect to the resource.

Access control system for enterprise cloud storage

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Cupertino, CA, United States of America

Adelbert Chang