![Thiago Serra on Twitter: Thiago Serra on Twitter:](https://pbs.twimg.com/media/EQWDj7AWsAEyvyW.jpg)
Thiago Serra on Twitter: "Ellen Vitercik presents her poster spotlight on “Learning to optimize computational resources” at #AAAI20: The paper shows how to construct a finite set of good parameters for optimization
![M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube](https://i.ytimg.com/vi/FQCEB7ch5fo/hqdefault.jpg)
M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube
![Early Career Invited Lecture Award | UBC Science - Faculty of Science at the University of British Columbia Early Career Invited Lecture Award | UBC Science - Faculty of Science at the University of British Columbia](https://science.ubc.ca/sites/science.ubc.ca/files/lucas.png)
Early Career Invited Lecture Award | UBC Science - Faculty of Science at the University of British Columbia
![UBC Science Early Career Invited Lecture by Ellen Vitercik (Carnegie Mellon University) | Computer Science at UBC UBC Science Early Career Invited Lecture by Ellen Vitercik (Carnegie Mellon University) | Computer Science at UBC](https://www.cs.ubc.ca/sites/default/files/styles/node_image/public/ellen-vitercik-photo.png?itok=l69hAkkJ)
UBC Science Early Career Invited Lecture by Ellen Vitercik (Carnegie Mellon University) | Computer Science at UBC
Machine Learning Department at CMU - Machine Learning - TA Awards 2018 Congratulations to the Machine Learning Department's TA Award recipients. Pictured Ellen Vitercik, Arun Suggala, Otilia Stretcu, Jennifer Shih and Lisa
![Erin LeDell on Twitter: Erin LeDell on Twitter:](https://pbs.twimg.com/media/E67pRwrVcAEaSL9.jpg)
Erin LeDell on Twitter: "If you're attending @icmlconf and are interested in #AutoML, please stop by our workshop on Friday! 🤖👩💻 Keynotes by @__mfeurer__, @_dynamic24_, Ellen Vitercik and @mizhang. Schedule: https://t.co/uB79b7MjQv &
![M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube](https://i.ytimg.com/vi/FQCEB7ch5fo/maxresdefault.jpg)