Wenshuo Guo, Michael I. Jordan, Ellen Vitercik · No-Regret Learning in Partially-Informed Auctions · SlidesLive
Erin LeDell - @ledell@{mastodon,bsky}.social on X: "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:
Ellen Vitercik · SlidesLive
Early Career Invited Lecture Award | UBC Science - Faculty of Science at the University of British Columbia
Andrés Munoz Medina, Umar Syed, Sergei Vassilvtiskii, Ellen Vitercik · Private optimization without constraint violations · SlidesLive
Microsoft Research creates fellowship program to support women in computing - OnMSFT.com
Estimating Approximate Incentive Compatibility - Ellen Vitercik - YouTube
Wale 2022 – Workshop on Algorithms for Learning and Economics
Ellen Vitercik: "How much data is sufficient to learn high-performing algorithms?" - YouTube
Faculty | Stanford HAI
Nina Balcan, Ellen Vitercik, Dan DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm · How much data is sufficient to learn high-performing algorithms? · SlidesLive
Ellen Vitercik · SlidesLive
Early Career Invited Lecture Award | UBC Science - Faculty of Science at the University of British Columbia
Ellen Vitercik on "Sample Complexity of Revenue Maximization" - YouTube
Team - Learning Theory Alliance
Ellen Vitercik | Computer Science
EC'18: A General Theory of Sample Complexity for Multi-Item Profit Maximization - YouTube
Machine Learning Dept. at Carnegie Mellon on X: "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 "Sample Complexity of Revenue Maximization" - YouTube
Machine Learning Teaching Assistant Awards 2018 - Machine Learning - CMU - Carnegie Mellon University
CMU Machine Learning Department - New Frontiers of Automated Mechanism Design for Pricing and Auctions by Maria-Florina Balcan, @mldcmu, Tuomas Sandholm, Ellen Vitercik @csdatcmu Learn more → https://mld.ai/y1m Tutorial Video Part I:
The Department congratulates the participants of the REU CAAR Summer Program | UMD Department of Computer Science
Speakers | The Rachel and Selim Benin School of Computer Science and Engineering | The Hebrew University
Wale 2022 – Workshop on Algorithms for Learning and Economics
Ellen Vitercik on Estimating approximate incentive compatibility - YouTube
