Evgenii Chzhen

According to our database, Evgenii Chzhen authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Addressing bias in online selection with limited budget of comparisons.

Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet

CoRR, 2023

Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness.

Evgenii Chzhen, Christophe Giraud, Zhen Li, Gilles Stoltz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fair learning with Wasserstein barycenters for non-decomposable performance measures.

Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A gradient estimator via L1-randomization for online zero-order optimization with two point feedback.

Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Set-valued classification - overview via a unified framework.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Titouan Lorieul

CoRR, 2021

Classification with abstention but without disparities.

Nicolas Schreuder, Evgenii Chzhen

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Unified Approach to Fair Online Learning via Blackwell Approachability.

Evgenii Chzhen, Christophe Giraud, Gilles Stoltz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression.

Evgenii Chzhen, Nicolas Schreuder

CoRR, 2020

Fair regression via plug-in estimator and recalibration with statistical guarantees.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fair regression with Wasserstein barycenters.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

On the benefits of output sparsity for multi-label classification.

Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Joseph Salmon

CoRR, 2017