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Wale 2022 – Workshop on Algorithms for Learning and Economics
Wale 2022 – Workshop on Algorithms for Learning and Economics

Speakers | The Rachel and Selim Benin School of Computer Science and  Engineering | The Hebrew University
Speakers | The Rachel and Selim Benin School of Computer Science and Engineering | The Hebrew University

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

Early Career Invited Lecture Award | UBC Science - Faculty of Science at  the University of British Columbia
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
Ellen Vitercik on "Sample Complexity of Revenue Maximization" - YouTube

Nina Balcan, Ellen Vitercik, Dan DeBlasio, Travis Dick, Carl Kingsford,  Tuomas Sandholm · How much data is sufficient to learn high-performing  algorithms? · SlidesLive
Nina Balcan, Ellen Vitercik, Dan DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm · How much data is sufficient to learn high-performing algorithms? · SlidesLive

Microsoft Research creates fellowship program to support women in computing  - OnMSFT.com
Microsoft Research creates fellowship program to support women in computing - OnMSFT.com

Team - Learning Theory Alliance
Team - Learning Theory Alliance

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
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

EC'18: A General Theory of Sample Complexity for Multi-Item Profit  Maximization - YouTube
EC'18: A General Theory of Sample Complexity for Multi-Item Profit Maximization - YouTube

Ellen Vitercik: "How much data is sufficient to learn high-performing  algorithms?" - YouTube
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
M4LA 2021 - Ellen Vitercik - How much data is sufficient to learn high-performing algorithms? - YouTube

Ellen Vitercik · SlidesLive
Ellen Vitercik · SlidesLive

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

Ellen Vitercik | Computer Science
Ellen Vitercik | Computer Science

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

Machine Learning Dept. at Carnegie Mellon on X: "Machine Learning - TA  Awards 2018 Congratulations to the Machine Learning Department's TA Award  recipients. Pictured Ellen Vitercik, Arun Suggala, Otilia Stretcu, Jennifer  Shih
Machine Learning Dept. at Carnegie Mellon on X: "Machine Learning - TA Awards 2018 Congratulations to the Machine Learning Department's TA Award recipients. Pictured Ellen Vitercik, Arun Suggala, Otilia Stretcu, Jennifer Shih

Ellen Vitercik on Estimating approximate incentive compatibility - YouTube
Ellen Vitercik on Estimating approximate incentive compatibility - YouTube

Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and  Seller Uncertainty - YouTube
Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty - YouTube

Ellen Vitercik
Ellen Vitercik

Wenshuo Guo, Michael I. Jordan, Ellen Vitercik · No-Regret Learning in  Partially-Informed Auctions · SlidesLive
Wenshuo Guo, Michael I. Jordan, Ellen Vitercik · No-Regret Learning in Partially-Informed Auctions · SlidesLive

Andrés Munoz Medina, Umar Syed, Sergei Vassilvtiskii, Ellen Vitercik ·  Private optimization without constraint violations · SlidesLive
Andrés Munoz Medina, Umar Syed, Sergei Vassilvtiskii, Ellen Vitercik · Private optimization without constraint violations · SlidesLive

Speakers | The Rachel and Selim Benin School of Computer Science and  Engineering | The Hebrew University
Speakers | The Rachel and Selim Benin School of Computer Science and Engineering | The Hebrew University

Ellen Vitercik
Ellen Vitercik

Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and  Seller Uncertainty - YouTube
Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty - YouTube

Welcome new faculty for autumn 2022 | Management Science and Engineering
Welcome new faculty for autumn 2022 | Management Science and Engineering

Early Career Invited Lecture Award | UBC Science - Faculty of Science at  the University of British Columbia
Early Career Invited Lecture Award | UBC Science - Faculty of Science at the University of British Columbia

The Department congratulates the participants of the REU CAAR Summer  Program | UMD Department of Computer Science
The Department congratulates the participants of the REU CAAR Summer Program | UMD Department of Computer Science