Capital One Services, LLC

Xinyu Chen

Prashanta Saha

Sandeep Komatireddy

Seemit Sheth

Huey-Meng Ning

Romit Dasgupta

Joydeep Dasgupta

Yingbo Li

Katelyn Ge

Abhishek Kumar Shrivastava

Boryana Manz

Jason Redd

Pothuraju Tallapaneni

Shubham Chitkara

Methods and systems for monitoring through graphical user interfaces are disclosed. In one aspect, a system is disclosed that includes a processor and data storage including instructions that, when executed by the processor, cause the system to perform operations. The operations include maintaining an input file including predetermined criteria for a plurality of factors, receiving a model dataset generated using a model, based on the input file and the model dataset, generating a first graphical user interface that includes a graphical illustration of a subset of the plurality of factors, a model risk for the model, and a selectable feature associated with a selected factor in the subset and a selected time period. The operations further include receiving through the first graphical user interface a selection of the selectable feature, and, in response, generating a second graphical user interface that recolors a portion of the first graphical user interface.

Methods and systems for dynamic monitoring through graphical user interfaces

Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first data to obtain first output datasets. A first performance score for the first machine learning model may be computed based on the first output datasets. A second machine learning model may be caused to execute on the first data based on the first performance score satisfying a first condition.

Resource allocation optimization for multi-dimensional machine learning environments

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Bellaire, TX, United States of America

Xinyu Chen