M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube
Microsoft fellowship program supports women in computing - Microsoft Research
IBM PhD Fellowship Award program
Early Career Invited Lecture Award | UBC Science - Faculty of Science at the University of British Columbia
Participant – Page 2 – EECS Rising Stars 2018
Machine Learning Teaching Assistant Awards 2018 - Machine Learning - CMU - Carnegie Mellon University
10701 Introduction to Machine Learning
Ellen Vitercik - CatalyzeX
Spring 2021 Seminars | NYU Tandon School of Engineering
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
Participant – Page 2 – EECS Rising Stars 2018
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
ICML 2020
Microsoft Research creates fellowship program to support women in computing - OnMSFT.com
Ellen Vitercik's 22 research works in Mathematics and Medicine
Ellen Vitercik on SlidesLive
Ellen Vitercik | DeepAI
PDF) Improved Learning Bounds for Branch-and-Cut
Team | FODSI
Combinatorics and Algorithms for Real Problems
Estimating Approximate Incentive Compatibility - Ellen Vitercik - YouTube
Team - Learning Theory Alliance
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
