Cyrus Cousins

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 40

Top Topics

Pac Learnability

Betweenness Centrality

Uniform Convergence

Conditional Density Estimation

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Cyrus Cousins
Algorithms and Analysis for Optimizing Robust Objectives in Fair Machine Learning. CoRR (2024)
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)
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 (2024)
Elita A. Lobo, Cyrus Cousins, Yair Zick, Marek Petrik
Percentile Criterion Optimization in Offline Reinforcement Learning. CoRR (2024)
Cyrus Cousins, Vignesh Viswanathan, Yair Zick
The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences. CoRR (2023)
Cyrus Cousins, Chloe Wohlgemuth, Matteo Riondato
Bavarian: Betweenness Centrality Approximation with Variance-aware Rademacher Averages. ACM Trans. Knowl. Discov. Data 17 (6) (2023)
Cyrus Cousins, Vignesh Viswanathan, Yair Zick
Dividing Good and Great Items Among Agents with Bivalued Submodular Valuations. WINE (2023)
Cyrus Cousins, Justin Payan, Yair Zick
Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities. SAGT (2023)
Cyrus Cousins
Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare. AISTATS (2023)
Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald
Learning Properties in Simulation-Based Games. AAMAS (2023)
Cyrus Cousins, Vignesh Viswanathan, Yair Zick
The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences. WINE (2023)
Cyrus Cousins, Justin Payan, Yair Zick
Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities. CoRR (2023)
Cyrus Cousins, Vignesh Viswanathan, Yair Zick
Dividing Good and Better Items Among Agents with Submodular Valuations. CoRR (2023)
Cyrus Cousins, Elita Lobo, Marek Petrik, Yair Zick
Percentile Criterion Optimization in Offline Reinforcement Learning. NeurIPS (2023)
Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald
Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games. CoRR (2022)
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) (2022)
Bhaskar Mishra, Cyrus Cousins, Amy Greenwald
Regret Pruning for Learning Equilibria in Simulation-Based Games. CoRR (2022)
Cyrus Cousins
Uncertainty and the Social Planner's Problem: Why Sample Complexity Matters. FAccT (2022)
Cyrus Cousins
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning. CoRR (2021)
Cyrus Cousins, Chloe Wohlgemuth, Matteo Riondato
Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages. KDD (2021)
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)
Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald
Learning Competitive Equilibria in Noisy Combinatorial Markets. AAMAS (2021)
Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald
Learning Competitive Equilibria in Noisy Combinatorial Markets. CoRR (2021)
Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins, Eli Upfal
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds. CoRR (2021)
Cyrus Cousins
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning. NeurIPS (2021)
Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H. Bach, Eli Upfal
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees. ICML (2021)
Cyrus Cousins, Matteo Riondato
Sharp uniform convergence bounds through empirical centralization. NeurIPS (2020)
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. CoRR (2020)
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. KDD (2020)
Cyrus Cousins, Shahrzad Haddadan, Eli Upfal
Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE. CoRR (2020)
Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald
Improved Algorithms for Learning Equilibria in Simulation-Based Games. AAMAS (2020)
Cyrus Cousins, Matteo Riondato
CaDET: interpretable parametric conditional density estimation with decision trees and forests. Mach. Learn. 108 (8-9) (2019)
Enrique Areyan Viqueira, Cyrus Cousins, Yasser Mohammad, Amy Greenwald
Empirical Mechanism Design: Designing Mechanisms from Data. UAI (2019)
Enrique Areyan Viqueira, Cyrus Cousins, Eli Upfal, Amy Greenwald
Learning Equilibria of Simulation-Based Games. CoRR (2019)
Enrique Areyan Viqueira, Amy Greenwald, Cyrus Cousins, Eli Upfal
Learning Simulation-Based Games from Data. AAMAS (2019)
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)
Clayton Sanford, Cyrus Cousins, Eli Upfal
Uniform Convergence Bounds for Codec Selection. CoRR (2018)
Cyrus Cousins, Christopher M. Pietras, Donna K. Slonim
Scalable FRaC Variants: Anomaly Detection for Precision Medicine. IPDPS Workshops (2017)
Cyrus Cousins, Eli Upfal
The k-Nearest Representatives Classifier: A Distance-Based Classifier with Strong Generalization Bounds. DSAA (2017)
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 Utama, Eli Upfal, Linnan Wang, Nathaniel Weir, Robert C. Zeleznik, Emanuel Zgraggen
Towards Interactive Data Exploration. BIRTE (Revised Selected Papers) (2017)