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ICML 2020
ICML 2020

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

Spring 2021 Seminars | NYU Tandon School of Engineering
Spring 2021 Seminars | NYU Tandon School of Engineering

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

Team - Learning Theory Alliance
Team - Learning Theory Alliance

Machine Learning Dept. at Carnegie Mellon on Twitter:
Machine Learning Dept. at Carnegie Mellon on Twitter: "Friday, February 7, 2020 - 2 - 6 PM FP2: New Frontiers of Automated Mechanism Design for Pricing and Auctions Maria-Florina Balcan, Tuomas Sandholm

Ellen Vitercik on SlidesLive
Ellen Vitercik on SlidesLive

Ellen Vitercik
Ellen Vitercik

Ellen Vitercik - CatalyzeX
Ellen Vitercik - CatalyzeX

Ellen Vitercik on SlidesLive
Ellen Vitercik on SlidesLive

Ellen Vitercik | DeepAI
Ellen Vitercik | DeepAI

Erin LeDell on Twitter:
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 &

Machine Learning Teaching Assistant Awards 2018 - Machine Learning - CMU -  Carnegie Mellon University
Machine Learning Teaching Assistant Awards 2018 - Machine Learning - CMU - Carnegie Mellon University

Ellen Vitercik's 22 research works in Mathematics and Medicine
Ellen Vitercik's 22 research works in Mathematics and Medicine

Spring 2021 Seminars | NYU Tandon School of Engineering
Spring 2021 Seminars | NYU Tandon School of Engineering

Estimating Approximate Incentive Compatibility - Ellen Vitercik - YouTube
Estimating Approximate Incentive Compatibility - Ellen Vitercik - YouTube

Combinatorics and Algorithms for Real Problems
Combinatorics and Algorithms for Real Problems

10701 Introduction to Machine Learning
10701 Introduction to Machine Learning

PDF) Improved Learning Bounds for Branch-and-Cut
PDF) Improved Learning Bounds for Branch-and-Cut

Miller Fellowship Awards
Miller Fellowship Awards

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
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

COLT 2017 Video Archive | Association for Computational Learning
COLT 2017 Video Archive | Association for Computational Learning

Microsoft fellowship program supports women in computing - Microsoft  Research
Microsoft fellowship program supports women in computing - Microsoft Research

Participant – Page 2 – EECS Rising Stars 2018
Participant – Page 2 – EECS Rising Stars 2018