Cyrus Cousins
Cited by
Cited by
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
CaDET: interpretable parametric conditional density estimation with decision trees and forests
C Cousins, M Riondato
Machine Learning 108 (8), 1613-1634, 2019
Empirical mechanism design: Designing mechanisms from data
EA Viqueira, C Cousins, Y Mohammad, A Greenwald
Uncertainty in Artificial Intelligence, 1094-1104, 2020
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
MCRapper: Monte-Carlo Rademacher averages for poset families and approximate pattern mining
L Pellegrina, C Cousins, F Vandin, M Riondato
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
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
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
Learning Competitive Equilibria in Noisy Combinatorial Markets
E Areyan Viqueira, C Cousins, A Greenwald
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
C Cousins
arXiv preprint arXiv:2104.14504, 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
Novel Concentration of Measure Bounds with Applications to Fairness in Machine Learning
C Cousins
Sharp uniform convergence bounds through empirical centralization
C Cousins, M Riondato
Advances in Neural Information Processing Systems 33, 2020
Learning Equilibria of Simulation-Based Games
E Areyan Viqueira, C Cousins, E Upfal, A Greenwald
arXiv e-prints, arXiv: 1905.13379, 2019
Uniform Convergence Bounds for Codec Selection
C Sanford, C Cousins, E Upfal
arXiv preprint arXiv:1812.07568, 2018
Towards Interactive Curation & Automatic Tuning of ML Pipelines
CC Cousins, ZS Shang, EZ Zgraggen, RCZ Zeleznik, TK Kraska, EU Upfal, ...
HarmLang: A Probabilistic Language for Music Notation, Manipulation, and Analysis
C Cousins, C Malchik
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