@incollection{binnig2015towards,
title = {Towards interactive data exploration},
author = {Binnig, Carsten and Bas{\i}k, Fuat and Buratti, Benedetto and Cetintemel, Ugur and Chung, Yeounoh and Crotty, Andrew and Cousins, Cyrus and Ebert, Dylan and Eichmann, Philipp and Galakatos, Alex and H\"attasch, Benjamin and Ilkhechi, Amir and Kraska, Tim and Shang, Zeyuan and Tromba, Isabella and Usta, Arif and Utama, Prasetya and Upfal, Eli and Wang, Linnan and Weir, Nathaniel and Zeleznik, Robert and Zgraggen, Emanuel},
booktitle = {Real-Time Business Intelligence and Analytics},
pages = {177–190},
year = {2017},
publisher = {Springer}
}
@article{sanford2018uniform,
title = {Uniform Convergence Bounds for Codec Selection},
author = {Sanford, Clayton and Cousins, Cyrus and Upfal, Eli},
journal = {arXiv:1812.07568},
year = {2018}
}
@inproceedings{cousins2017scalable,
title = {Scalable {FRaC} Variants: Anomaly Detection for Precision Medicine},
author = {Cousins, Cyrus and Pietras, Christopher M. and Slonim, Donna K.},
booktitle = {International Parallel and Distributed Processing Symposium Workshops},
pages = {253–262},
year = {2017},
organization = {IEEE}
}
@inproceedings{cousins2017k,
title = {The {$k$}-Nearest Representatives Classifier: {A} Distance-Based Classifier with Strong Generalization Bounds},
author = {Cousins, Cyrus and Upfal, Eli},
booktitle = {4th International Conference on Data Science and Advanced Analytics},
pages = {1–10},
year = {2017},
organization = {IEEE}
}
@inproceedings{binnig2018towards,
title = {Towards interactive curation \& automatic tuning of {ML} pipelines},
author = {Binnig, Carsten and Buratti, Benedetto and Chung, Yeounoh and Cousins, Cyrus and Kraska, Tim and Shang, Zeyuan and Upfal, Eli and Zeleznik, Robert and Zgraggen, Emanuel},
booktitle = {Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning},
year = {2018}
}
@article{cousins2019cadet,
title = {{CaDET}: {I}nterpretable parametric conditional density estimation with decision trees and forests},
author = {Cousins, Cyrus and Riondato, Matteo},
journal = {Machine Learning},
volume = {108},
number = {8-9},
pages = {1613–1634},
year = {2019},
publisher = {Springer}
}
@inproceedings{mazzetto2021adversarial,
title = {Adversarial Multiclass Learning under Weak Supervision with Performance Guarantees},
author = {Mazzetto, Alessio and Cousins, Cyrus and Sam, Dylan and Bach, Stephen H. and Upfal, Eli},
booktitle = {International Conference on Machine Learning},
pages = {7534–7543},
year = {2021},
organization = {PMLR}
}
@inproceedings{haddadan2021fast,
title = {Fast Doubly-Adaptive {MCMC} to Estimate the {G}ibbs Partition Function with Weak Mixing Time Bounds},
author = {Cousins, Cyrus and Haddadan, Shahrzad and Zhuang, Yue and Upfal, Eli},
booktitle = {Advances in Neural Information Processing Systems},
year = {2021}
}
@inproceedings{cousins2024percentile,
title = {Percentile Criterion Optimization in Offline Reinforcement Learning},
author = {Lobo, Elita and Cousins, Cyrus and Petrik, Marek and Zick, Yair},
booktitle = {Advances in Neural Information Processing Systems},
year = {2024}
}
@inproceedings{cousins2021axiomatic,
title = {An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning},
author = {Cousins, Cyrus},
booktitle = {Advances in Neural Information Processing Systems},
year = {2021}
}
@article{cousins2021axiomaticArxiv,
title = {An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning},
author = {Cousins, Cyrus},
journal = {arXiv:2104.14504},
year = {2021}
}
@inproceedings{cousins2022uncertainty,
title = {Uncertainty and the Social Planner’s Problem: {W}hy Sample Complexity Matters},
author = {Cousins, Cyrus},
booktitle = {Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency},
year = {2022}
}
@inproceedings{cousins2022faire3,
title = {Fair {E$^3$}: {E}fficient Welfare-Centric Fair Reinforcement Learning},
author = {Cousins, Cyrus and Asadi, Kavosh and
Littman, Michael L.},
booktitle = {5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM)},
year = {2022}
}
@inproceedings{dong2022decentering,
title = {Decentering Imputation: Fair Learning at the Margins of Demographics},
author = {Dong, Evan and Cousins, Cyrus},
booktitle = {Queer in AI Workshop @ ICML},
year = {2022}
}
@inproceedings{cousins2023revisiting,
title = {Revisiting Fair-{{PAC}} Learning and the Axioms of Cardinal Welfare},
author = {Cousins, Cyrus},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2023}
}
@inproceedings{cousins2024pool,
title = {To Pool or Not To Pool: {A}nalyzing the Regularizing Effects of Group-Fair Training on Shared Models},
author = {Cousins, Cyrus and Kumar, Indra Elizabeth and Venkatasubramanian, Suresh},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2024}
}
@inproceedings{viqueira2019learning,
title = {Learning Simulation-Based Games from Data},
author = {Viqueira, Enrique Areyan and Cousins, Cyrus and Greenwald, Amy},
booktitle = {Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS)},
year = {2019}
}
@article{viqueira2019learningArxiv,
title = {Learning equilibria of simulation-based games},
author = {Viqueira, Enrique Areyan and Cousins, Cyrus and Upfal, Eli and Greenwald, Amy},
journal = {arXiv:1905.13379},
year = {2019}
}
@inproceedings{viqueira2020empirical,
title = {Empirical mechanism design: Designing mechanisms from data},
author = {Viqueira, Enrique Areyan and Cousins, Cyrus and Mohammad, Yasser and Greenwald, Amy},
booktitle = {Uncertainty in Artificial Intelligence},
pages = {1094–1104},
year = {2020},
organization = {PMLR}
}
@inproceedings{areyan2020improved,
title = {Improved Algorithms for Learning Equilibria in Simulation-Based Games},
author = {Viqueira, Enrique Areyan and Cousins, Cyrus and Greenwald, Amy},
booktitle = {Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS)},
pages = {79–87},
year = {2020}
}
@inproceedings{areyan2021learning,
title = {Learning Competitive Equilibria in Noisy Combinatorial Markets},
author = {Viqueira, Enrique Areyan and Cousins, Cyrus and Greenwald, Amy},
booktitle = {Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS)},
year = {2021}
}
@article{cousins2022computational,
title = {Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games},
author = {Cousins, Cyrus and Mishra, Bhaskar and Viqueira, Enrique Areyan and Greenwald, Amy},
journal = {arXiv:2208.06400},
year = {2022}
}
@article{mishra2022regret,
title = {Regret Pruning for Learning Equilibria in Simulation-Based Games},
author = {Mishra, Bhaskar and Cousins, Cyrus and Greenwald, Amy},
journal = {arXiv:2211.16670},
year = {2022}
}
@inproceedings{cousins2023learning,
title = {Learning Properties in Simulation-Based Games},
author = {Cousins, Cyrus and Mishra, Bhaskar and Viqueira, Enrique Areyan and Greenwald, Amy},
booktitle = {Proceedings of the 22nd International Conference on Autonomous Agents and MultiAgent Systems (AAMAS)},
year = {2023}
}
@inproceedings{cousins2020sharp,
title = {Sharp uniform convergence bounds through empirical centralization},
author = {Cousins, Cyrus and Riondato, Matteo},
booktitle = {Advances in Neural Information Processing Systems},
year = {2020}
}
@inproceedings{pellegrina2020mcrapper,
title = {{MCRapper}: {M}onte-{C}arlo {R}ademacher Averages for {POSET} Families and Approximate Pattern Mining},
author = {Pellegrina, Leonardo and Cousins, Cyrus and Vandin, Fabio and Riondato, Matteo},
booktitle = {Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
pages = {2165–2174},
year = {2020}
}
@inproceedings{cousins2021bavarian,
title = {{BAVarian}: {B}etweenness Centrality Approximation with Variance-Aware {R}ademacher Averages},
author = {Cousins, Cyrus and Wohlgemuth, Chloe and Riondato, Matteo},
booktitle = {Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
year = {2021}
}
@article{pellegrina2022mcrapper,
title = {{MCRapper}: {M}onte-Carlo {R}ademacher Averages for {POSET} Families and Approximate Pattern Mining},
author = {Pellegrina, Leonardo and Cousins, Cyrus and Vandin, Fabio and Riondato, Matteo},
journal = {ACM Transactions on Knowledge Discovery from Data (TKDD)},
volume = {16},
number = {5},
year = {2022},
publisher = {ACM New York, NY}
}
@article{cousins2023bavarian,
author = {Cousins, Cyrus and Wohlgemuth, Chloe and Riondato, Matteo},
title = {{BAVarian}: {B}etweenness Centrality Approximation with Variance-Aware {R}ademacher Averages},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
issn = {1556-4681},
doi = {10.1145/3577021},
journal = {ACM Transactions on Knowledge Discovery from Data (TKDD)},
volume = {17},
number = {6},
pages = {1–47},
year = {2023}
}
@article{cousins2020making,
title = {Making mean-estimation more efficient using an {MCMC} trace variance approach: {DynaMITE}},
author = {Cousins, Cyrus and Haddadan, Shahrzad and Upfal, Eli},
journal = {arXiv:2011.11129},
year = {2020}
}
@article{cousins2020novel,
title = {Novel Concentration of Measure Bounds with Applications to Fairness in Machine Learning},
author = {Cousins, Cyrus},
journal = {Brown University},
year = {2020}
}
@phdthesis{cousins2021bounds,
title = {Bounds and Applications of Concentration of Measure in Fair Machine Learning and Data Science},
author = {Cousins, Cyrus},
publisher = {Brown University},
school = {Brown University},
year = {2021}
}
@inproceedings{cousins2023into,
title = {Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities},
author = {Cousins, Cyrus and Payan, Justin and Zick, Yair},
booktitle = {Proceedings of the 16th International Symposium on Algorithmic Game Theory},
year = {2023}
}
@inproceedings{cousins2023dividing,
title = {Dividing Good and Better Items Among Agents with Submodular Valuations},
author = {Cousins, Cyrus and Viswanathan, Vignesh and Zick, Yair},
booktitle = {International Conference on Web and Internet Economics},
year = {2023},
organization = {Springer}
}
@inproceedings{cousins2023good,
title = {The Good, the Bad and the Submodular: {F}airly Allocating Mixed Manna Under Order-Neutral Submodular Preferences},
author = {Cousins, Cyrus and Viswanathan, Vignesh and Zick, Yair},
booktitle = {International Conference on Web and Internet Economics},
year = {2023},
organization = {Springer}
}
@inproceedings{navarrete2023efficient,
title = {Efficient Yankee Swap for Fairly Allocating Courses to Students},
author = {Navarrete, Paula and Cousins, Cyrus and Zick, Yair and Viswanathan, Vignesh},
booktitle = {Columbia Workshop on Fairness in Operations and AI},
organization = {Columbia University},
year = {2023}
}
@inproceedings{cousins2023fair,
title = {Fair Resource Allocation under Uncertainty},
author = {Cousins, Cyrus and Lobo, Elita and Payan, Justin and Zick, Yair},
booktitle = {Columbia Workshop on Fairness in Operations and AI},
year = {2023},
organization = {Columbia University}
}
@inproceedings{cousins2023algorithms,
title = {Algorithms and Analysis for Optimizing Robust Objectives in Fair Machine Learning},
author = {Cousins, Cyrus},
booktitle = {Columbia Workshop on Fairness in Operations and AI},
organization = {Columbia University},
year = {2023}
}
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