Evgenii Chzhen
12 papers · 2019–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π± Topic Pioneer
π
Keyword Champion
(4)
ποΈ
Keyword Collector
(58)
π₯
Unstoppable Β· Bronze
π
Trend Setter
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(11)
Application Areas
(8)
Core Methods
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Optimization & Theory
(5)
Learning Types Β· Machine Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Learning Types Β· Deep Learning
(1)
Methods
(1)
Keywords
demographic parity
(5)
fair regression
(4)
fair classification
(3)
minimax lower bound
(2)
convex optimization
(2)
zero-order optimization
(2)
wasserstein barycenter
(2)
optimal transport
(2)
fairness constraint
(2)
post-processing algorithm
(2)
gradient descent
(1)
risk minimization
(1)
error handling
(1)
online optimization
(1)
binary classification
(1)
online learning
(1)
classification abstention
(1)
policy optimization
(1)
strongly convex optimization
(1)
projected gradient descent
(1)
Papers
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization
AISTATS 2025
Addressing Bias in Online Selection with Limited Budget of Comparisons
NeurIPS 2024
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm
JMLR 2024
Regression under demographic parity constraints via unlabeled post-processing
NeurIPS 2024
Fair learning with Wasserstein barycenters for non-decomposable performance measures
AISTATS 2023
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
NeurIPS 2023
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
NeurIPS 2022
A Unified Approach to Fair Online Learning via Blackwell Approachability
NeurIPS 2021
Classification with abstention but without disparities
UAI 2021
Fair regression via plug-in estimator and recalibration with statistical guarantees
NeurIPS 2020
Fair regression with Wasserstein barycenters
NeurIPS 2020
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
NeurIPS 2019