Cyrus Cousins
Cited by
Cited by
Adversarial multi class learning under weak supervision with performance guarantees
A Mazzetto, C Cousins, D Sam, SH Bach, E Upfal
International Conference on Machine Learning, 7534-7543, 2021
Improved algorithms for learning equilibria in simulation-based games
E Areyan Viqueira, C Cousins, A Greenwald
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
Towards interactive curation & automatic tuning of ml pipelines
C Binnig, B Buratti, Y Chung, C Cousins, T Kraska, Z Shang, E Upfal, ...
Proceedings of the Second Workshop on Data Management for End-To-End Machine …, 2018
Learning simulation-based games from data
EA Viqueira, C Cousins
Proceeding AAMAS'19 Proceedings of the 18th International Conference on …, 2019
MCRapper: Monte-Carlo Rademacher averages for poset families and approximate pattern mining
L Pellegrina, C Cousins, F Vandin, M Riondato
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-29, 2022
Empirical mechanism design: Designing mechanisms from data
EA Viqueira, C Cousins, Y Mohammad, A Greenwald
Uncertainty in Artificial Intelligence, 1094-1104, 2020
Sharp uniform convergence bounds through empirical centralization
C Cousins, M Riondato
Advances in Neural Information Processing Systems 33, 15123-15132, 2020
CaDET: interpretable parametric conditional density estimation with decision trees and forests
C Cousins, M Riondato
Machine Learning 108 (8), 1613-1634, 2019
An axiomatic theory of provably-fair welfare-centric machine learning
C Cousins
Advances in Neural Information Processing Systems 34, 16610-16621, 2021
BAVARIAN: Betweenness centrality approximation with variance-aware Rademacher averages
C Cousins, C Wohlgemuth, M Riondato
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Learning equilibria of simulation-based games
EA Viqueira, C Cousins, E Upfal, A Greenwald
arXiv preprint arXiv:1905.13379, 2019
Towards interactive data exploration
C Binnig, F Basık, B Buratti, U Cetintemel, Y Chung, A Crotty, C Cousins, ...
Real-Time Business Intelligence and Analytics, 177-190, 2015
Learning competitive equilibria in noisy combinatorial markets
EA Viqueira, C Cousins, A Greenwald
arXiv preprint arXiv:2101.09551, 2021
Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE
C Cousins, S Haddadan, E Upfal
arXiv preprint arXiv:2011.11129, 2020
Uncertainty and the social planner’s problem: Why sample complexity matters
C Cousins
2022 ACM Conference on Fairness, Accountability, and Transparency, 2004-2015, 2022
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
S Haddadan, Y Zhuang, C Cousins, E Upfal
Advances in Neural Information Processing Systems 34, 25760-25772, 2021
The k-nearest representatives classifier: A distance-based classifier with strong generalization bounds
C Cousins, E Upfal
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
Scalable frac variants: Anomaly detection for precision medicine
C Cousins, CM Pietras, DK Slonim
2017 IEEE International Parallel and Distributed Processing Symposium …, 2017
Novel concentration of measure bounds with applications to fairness in machine learning
C Cousins
Brown University, 2020
Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games
C Cousins, B Mishra, EA Viqueira, A Greenwald
arXiv preprint arXiv:2208.06400, 2022
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