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
M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube
Ellen Vitercik | DeepAI
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
Ellen Vitercik | DeepAI
Ellen Vitercik
Estimating Approximate Incentive Compatibility - Ellen Vitercik - YouTube
The Department congratulates the participants of the REU CAAR Summer Program | UMD Department of Computer Science
ICML 2020
Ellen Vitercik on SlidesLive
Participant – Page 2 – EECS Rising Stars 2018
PDF) Improved Learning Bounds for Branch-and-Cut
Miller Fellowship Awards
Participant – Page 2 – EECS Rising Stars 2018
Team - Learning Theory Alliance
Team | FODSI
Ellen Vitercik on SlidesLive
Colin White
Spring 2021 Seminars | NYU Tandon School of Engineering
10701 Introduction to Machine Learning
Microsoft Research creates fellowship program to support women in computing - OnMSFT.com
Ellen Vitercik's 22 research works in Mathematics and Medicine
Spring 2021 Seminars | NYU Tandon School of Engineering
Ellen Vitercik - CatalyzeX
Microsoft fellowship program supports women in computing - Microsoft Research
IBM PhD Fellowship Award program
UBC Science Early Career Invited Lecture by Ellen Vitercik (Carnegie Mellon University) | Computer Science at UBC
