Evgenii Chzhen

23 papers A* 8A 3Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization. AISTATS Daniil Tiapkin, Evgenii Chzhen, Gilles Stoltz
2024	A*	`conf`	Addressing Bias in Online Selection with Limited Budget of Comparisons. NeurIPS Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet
2024	J	`jnl`	Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm. J. Mach. Learn. Res. Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov
2024	J	`jnl`	Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization. CoRR Daniil Tiapkin, Evgenii Chzhen, Gilles Stoltz
2024	A*	`conf`	Regression under demographic parity constraints via unlabeled post-processing. NeurIPS Gayane Taturyan, Evgenii Chzhen, Mohamed Hebiri
2024	J	`jnl`	Regression under demographic parity constraints via unlabeled post-processing. CoRR Evgenii Chzhen, Mohamed Hebiri, Gayane Taturyan
2023	J	`jnl`	Addressing bias in online selection with limited budget of comparisons. CoRR Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet
2023	A	`conf`	Fair learning with Wasserstein barycenters for non-decomposable performance measures. AISTATS Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen
2023	A*	`conf`	Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness. NeurIPS Evgenii Chzhen, Christophe Giraud, Zhen Li, Gilles Stoltz
2023	J	`jnl`	Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness. CoRR Evgenii Chzhen, Christophe Giraud, Zhen Li, Gilles Stoltz
2022	A*	`conf`	A gradient estimator via L1-randomization for online zero-order optimization with two point feedback. NeurIPS Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov
2022	J	`jnl`	Fair learning with Wasserstein barycenters for non-decomposable performance measures. CoRR Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen
2021	A*	`conf`	A Unified Approach to Fair Online Learning via Blackwell Approachability. NeurIPS Evgenii Chzhen, Christophe Giraud, Gilles Stoltz
2021	J	`jnl`	A Unified Approach to Fair Online Learning via Blackwell Approachability. CoRR Evgenii Chzhen, Christophe Giraud, Gilles Stoltz
2021	A	`conf`	Classification with abstention but without disparities. UAI Nicolas Schreuder, Evgenii Chzhen
2021	J	`jnl`	Classification with abstention but without disparities. CoRR Nicolas Schreuder, Evgenii Chzhen
2021	J	`jnl`	Set-valued classification - overview via a unified framework. CoRR Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Titouan Lorieul
2020	J	`jnl`	An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression. CoRR Evgenii Chzhen, Nicolas Schreuder
2020	J	`jnl`	Fair Regression with Wasserstein Barycenters. CoRR Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2020	A*	`conf`	Fair regression via plug-in estimator and recalibration with statistical guarantees. NeurIPS Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2020	A*	`conf`	Fair regression with Wasserstein barycenters. NeurIPS Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2019	A*	`conf`	Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification. NeurIPS Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2017	J	`jnl`	On the benefits of output sparsity for multi-label classification. CoRR Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Joseph Salmon