![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Cyrus Cousins
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c22]Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian:
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models. AISTATS 2024: 4573-4581 - [i15]Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian:
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models. CoRR abs/2402.18803 (2024) - [i14]Elita A. Lobo, Cyrus Cousins, Yair Zick, Marek Petrik:
Percentile Criterion Optimization in Offline Reinforcement Learning. CoRR abs/2404.05055 (2024) - [i13]Cyrus Cousins:
Algorithms and Analysis for Optimizing Robust Objectives in Fair Machine Learning. CoRR abs/2404.06703 (2024) - 2023
- [j3]Cyrus Cousins
, Chloe Wohlgemuth
, Matteo Riondato
:
Bavarian: Betweenness Centrality Approximation with Variance-aware Rademacher Averages. ACM Trans. Knowl. Discov. Data 17(6): 78:1-78:47 (2023) - [c21]Cyrus Cousins:
Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare. AISTATS 2023: 6422-6442 - [c20]Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald:
Learning Properties in Simulation-Based Games. AAMAS 2023: 272-280 - [c19]Cyrus Cousins, Elita A. Lobo, Marek Petrik, Yair Zick:
Percentile Criterion Optimization in Offline Reinforcement Learning. NeurIPS 2023 - [c18]Cyrus Cousins
, Justin Payan
, Yair Zick
:
Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities. SAGT 2023: 179-197 - [c17]Cyrus Cousins
, Vignesh Viswanathan
, Yair Zick
:
The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences. WINE 2023: 207-224 - [c16]Cyrus Cousins
, Vignesh Viswanathan
, Yair Zick
:
Dividing Good and Great Items Among Agents with Bivalued Submodular Valuations. WINE 2023: 225-241 - [i12]Cyrus Cousins, Justin Payan, Yair Zick:
Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities. CoRR abs/2301.10816 (2023) - [i11]Cyrus Cousins, Vignesh Viswanathan, Yair Zick:
Dividing Good and Better Items Among Agents with Submodular Valuations. CoRR abs/2302.03087 (2023) - [i10]Cyrus Cousins, Vignesh Viswanathan, Yair Zick:
The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences. CoRR abs/2307.12516 (2023) - 2022
- [j2]Leonardo Pellegrina
, Cyrus Cousins
, Fabio Vandin
, Matteo Riondato
:
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. ACM Trans. Knowl. Discov. Data 16(6): 124:1-124:29 (2022) - [c15]Cyrus Cousins:
Uncertainty and the Social Planner's Problem: Why Sample Complexity Matters. FAccT 2022: 2004-2015 - [i9]Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald
:
Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games. CoRR abs/2208.06400 (2022) - [i8]Bhaskar Mishra, Cyrus Cousins, Amy Greenwald
:
Regret Pruning for Learning Equilibria in Simulation-Based Games. CoRR abs/2211.16670 (2022) - 2021
- [b1]Cyrus Cousins:
Bounds and Applications of Concentration of Measure in Fair Machine Learning and Data Science. Brown University, USA, 2021 - [c14]Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald:
Learning Competitive Equilibria in Noisy Combinatorial Markets. AAMAS 2021: 1446-1448 - [c13]Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H. Bach, Eli Upfal:
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees. ICML 2021: 7534-7543 - [c12]Cyrus Cousins, Chloe Wohlgemuth, Matteo Riondato
:
Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages. KDD 2021: 196-206 - [c11]Cyrus Cousins:
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning. NeurIPS 2021: 16610-16621 - [c10]Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins, Eli Upfal:
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds. NeurIPS 2021: 25760-25772 - [i7]Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald:
Learning Competitive Equilibria in Noisy Combinatorial Markets. CoRR abs/2101.09551 (2021) - [i6]Cyrus Cousins:
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning. CoRR abs/2104.14504 (2021) - [i5]Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins, Eli Upfal:
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds. CoRR abs/2111.07372 (2021) - 2020
- [c9]Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald:
Improved Algorithms for Learning Equilibria in Simulation-Based Games. AAMAS 2020: 79-87 - [c8]Leonardo Pellegrina
, Cyrus Cousins, Fabio Vandin, Matteo Riondato
:
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. KDD 2020: 2165-2174 - [c7]Cyrus Cousins, Matteo Riondato:
Sharp uniform convergence bounds through empirical centralization. NeurIPS 2020 - [i4]Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato:
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. CoRR abs/2006.09085 (2020) - [i3]Cyrus Cousins, Shahrzad Haddadan, Eli Upfal:
Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE. CoRR abs/2011.11129 (2020)
2010 – 2019
- 2019
- [j1]Cyrus Cousins, Matteo Riondato
:
CaDET: interpretable parametric conditional density estimation with decision trees and forests. Mach. Learn. 108(8-9): 1613-1634 (2019) - [c6]Enrique Areyan Viqueira, Amy Greenwald, Cyrus Cousins, Eli Upfal:
Learning Simulation-Based Games from Data. AAMAS 2019: 1778-1780 - [c5]Enrique Areyan Viqueira, Cyrus Cousins, Yasser Mohammad, Amy Greenwald:
Empirical Mechanism Design: Designing Mechanisms from Data. UAI 2019: 1094-1104 - [i2]Enrique Areyan Viqueira, Cyrus Cousins, Eli Upfal, Amy Greenwald:
Learning Equilibria of Simulation-Based Games. CoRR abs/1905.13379 (2019) - 2018
- [c4]Carsten Binnig, Benedetto Buratti, Yeounoh Chung, Cyrus Cousins, Tim Kraska, Zeyuan Shang, Eli Upfal, Robert C. Zeleznik, Emanuel Zgraggen:
Towards Interactive Curation & Automatic Tuning of ML Pipelines. DEEM@SIGMOD 2018: 1:1-1:4 - [i1]Clayton Sanford, Cyrus Cousins, Eli Upfal:
Uniform Convergence Bounds for Codec Selection. CoRR abs/1812.07568 (2018) - 2017
- [c3]Carsten Binnig
, Fuat Basik, Benedetto Buratti, Ugur Çetintemel, Yeounoh Chung, Andrew Crotty, Cyrus Cousins, Dylan Ebert, Philipp Eichmann, Alex Galakatos, Benjamin Hättasch, Amir Ilkhechi, Tim Kraska, Zeyuan Shang, Isabella Tromba, Arif Usta, Prasetya Ajie Utama, Eli Upfal, Linnan Wang, Nathaniel Weir, Robert C. Zeleznik, Emanuel Zgraggen:
Towards Interactive Data Exploration. BIRTE (Revised Selected Papers) 2017: 177-190 - [c2]Cyrus Cousins, Eli Upfal
:
The k-Nearest Representatives Classifier: A Distance-Based Classifier with Strong Generalization Bounds. DSAA 2017: 1-10 - [c1]Cyrus Cousins, Christopher M. Pietras, Donna K. Slonim:
Scalable FRaC Variants: Anomaly Detection for Precision Medicine. IPDPS Workshops 2017: 253-262
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint