Estimating Approximate Incentive Compatibility - Ellen Vitercik - YouTube
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
The Department congratulates the participants of the REU CAAR Summer Program | UMD Department of Computer Science
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
Microsoft Research creates fellowship program to support women in computing - OnMSFT.com
M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube
Team - Learning Theory Alliance
Nina Balcan, Tuomas Sandholm, Ellen Vitercik · Refined bounds for algorithm configuration: The knife-edge of dual class approximability · SlidesLive
Ellen Vitercik
Colin White
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
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
ICML 2020
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
Ellen Vitercik | DeepAI
Ellen Vitercik on SlidesLive
Spring 2021 Seminars | NYU Tandon School of Engineering
Spring 2021 Seminars | NYU Tandon School of Engineering
Machine Learning Teaching Assistant Awards 2018 - Machine Learning - CMU - Carnegie Mellon University
Team | FODSI
Ellen Vitercik on SlidesLive
PDF) Improved Learning Bounds for Branch-and-Cut
M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube
