Ellen Vitercik
Ellen Vitercik
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Learning to branch
MF Balcan, T Dick, T Sandholm, E Vitercik
International conference on machine learning, 344-353, 2018
772018
A General Theory of Sample Complexity for Multi-Item Profit Maximization
MF Balcan, T Sandholm, E Vitercik
Proceedings of the 2018 ACM Conference on Economics and Computation, 173-174, 2018
44*2018
Sample Complexity of Automated Mechanism Design
MF Balcan, T Sandholm, E Vitercik
Advances In Neural Information Processing Systems, 2083-2091, 2016
372016
Dispersion for data-driven algorithm design, online learning, and private optimization
MF Balcan, T Dick, E Vitercik
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
342018
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems
MF Balcan, V Nagarajan, E Vitercik, C White
Conference on Learning Theory, 213-274, 2017
322017
Synchronization Strings: Channel Simulations and Interactive Coding for Insertions and Deletions
B Haeupler, A Shahrasbi, E Vitercik
arXiv preprint arXiv:1707.04233, 2017
272017
Learning combinatorial functions from pairwise comparisons
MF Balcan, E Vitercik, C White
Conference on Learning Theory, 310-335, 2016
172016
Estimating Approximate Incentive Compatibility
E Vitercik, MF Balcan, T Sandholm
ACM Conference on Economics and Computation, 2019
12*2019
How much data is sufficient to learn high-performing algorithms?
MF Balcan, D DeBlasio, T Dick, C Kingsford, T Sandholm, E Vitercik
arXiv preprint arXiv:1908.02894, 2019
92019
Learning to prune: Speeding up repeated computations
D Alabi, AT Kalai, K Liggett, C Musco, C Tzamos, E Vitercik
Conference on Learning Theory, 30-33, 2019
92019
Learning to optimize computational resources: Frugal training with generalization guarantees
MF Balcan, T Sandholm, E Vitercik
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3227-3234, 2020
42020
Algorithmic greenlining: An approach to increase diversity
C Borgs, J Chayes, N Haghtalab, AT Kalai, E Vitercik
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 69-76, 2019
22019
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
MF Balcan, T Sandholm, E Vitercik
International Conference on Machine Learning, 580-590, 2020
12020
Private optimization without constraint violations
A Munoz, U Syed, S Vassilvtiskii, E Vitercik
International Conference on Artificial Intelligence and Statistics, 2557-2565, 2021
2021
Generalization in portfolio-based algorithm selection
MF Balcan, T Sandholm, E Vitercik
arXiv preprint arXiv:2012.13315, 2020
2020
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Articles 1–15