Chzhen, Evgenii

12 publications

AISTATS 2025 Narrowing the Gap Between Adversarial and Stochastic MDPs via Policy Optimization Daniil Tiapkin, Evgenii Chzhen, Gilles Stoltz

NeurIPS 2024 Addressing Bias in Online Selection with Limited Budget of Comparisons Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet

JMLR 2024 Gradient-Free Optimization of Highly Smooth Functions: Improved Analysis and a New Algorithm Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov

NeurIPS 2024 Regression Under Demographic Parity Constraints via Unlabeled Post-Processing Gayane Taturyan, Evgenii Chzhen, Mohamed Hebiri

AISTATS 2023 Fair Learning with Wasserstein Barycenters for Non-Decomposable Performance Measures Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen

NeurIPS 2023 Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness Evgenii Chzhen, Christophe Giraud, Zhen Li, Gilles Stoltz

NeurIPS 2022 A Gradient Estimator via L1-Randomization for Online Zero-Order Optimization with Two Point Feedback Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre Tsybakov

NeurIPS 2021 A Unified Approach to Fair Online Learning via Blackwell Approachability Evgenii Chzhen, Christophe Giraud, Gilles Stoltz

UAI 2021 Classification with Abstention but Without Disparities Nicolas Schreuder, Evgenii Chzhen

NeurIPS 2020 Fair Regression via Plug-in Estimator and Recalibration with Statistical Guarantees Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

NeurIPS 2020 Fair Regression with Wasserstein Barycenters Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

NeurIPS 2019 Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil