Cyrus Cousins
10 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Keyword Champion (3)
ποΈ
Keyword Collector
(55)
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The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Keywords
fair machine learning
(3)
statistical learning
(2)
welfare optimization
(2)
fair-pac learning
(2)
rademacher complexity
(2)
robust optimization
(2)
offline reinforcement learning
(1)
algorithmic fairness
(1)
stochastic optimization
(1)
sample complexity
(1)
pac learning
(1)
mechanism design
(1)
ising model
(1)
markov chain monte carlo
(1)
dynamic programming
(1)
weakly supervised learning
(1)
uniform convergence
(1)
label noise
(1)
temporal dynamics
(1)
partition function
(1)
Papers
Moral Change or Noise? On Problems of Aligning AI with Temporally Unstable Human Feedback
AAAI 2026
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
NeurIPS 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
AISTATS 2024
Percentile Criterion Optimization in Offline Reinforcement Learning
NeurIPS 2023
Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare
AISTATS 2023
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees
ICML 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
NeurIPS 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
NeurIPS 2021
Sharp uniform convergence bounds through empirical centralization
NeurIPS 2020
Empirical Mechanism Design: Designing Mechanisms from Data
UAI 2019