EE Student Information

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EE Student Information, Spring Quarter through Academic Year 2020-2021: FAQs and Updated EE Course List.

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ISL Colloquium presents "Strategies for Active Machine Learning"

Topic: 
Strategies for Active Machine Learning
Thursday, October 15, 2020 - 4:30pm
Venue: 
Zoom
Speaker: 
Prof. Robert Nowak (University of Wisconsin-Madison)
Abstract / Description: 

The field of Machine Learning (ML) has advanced considerably in recent years, but mostly in well-defined domains and often using huge amounts of human-labeled training data. Machines can recognize objects in images and translate text, but they must be trained with more images and text than a person can see in nearly a lifetime. The computational complexity of training has been offset by recent technological advances, but the cost of training data is measured in terms of the human effort in labeling data. People are not getting faster nor cheaper, so generating labeled training datasets has become a major bottleneck in ML pipelines.

Active ML aims to address this issue by designing learning algorithms that automatically and adaptively select the most informative examples for labeling so that human time is not wasted labeling irrelevant, redundant, or trivial examples. This talk explores the development of active ML theory and methods over the past decade, including a new approach applicable to kernel methods and neural networks, which views the learning problem through the lens of representer theorems. This perspective highlights the effect of adding a new training example on the functional representation, leading to a new criterion for actively selecting examples.


 

The ISL Colloquium meets weekly during the academic year. Seminars are each Thursday at 4:30pm PT, unless indicated otherwise.

Until further notice, the ISL Colloquium convenes exclusively via Zoom (on Thursdays at 4:30pm PT) due to the ongoing pandemic. To avoid "Zoom-bombing", we ask attendees to input their email address here https://stanford.zoom.us/meeting/register/tJckfuCurzkvEtKKOBvDCrPv3McapgP6HygJ to receive the Zoom meeting details via email.

Bio:

Robert Nowak holds the Nosbusch Professorship in Engineering at the University of Wisconsin-Madison, where his research focuses on signal processing, machine learning, optimization, and statistics.