Solenne Gaucher

According to our database1, Solenne Gaucher authored at least 13 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Counterfactually Fair Regression via Optimal Transport.
CoRR, May, 2026

Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings.
CoRR, May, 2026

2025
Non-Stationary Lipschitz Bandits.
CoRR, May, 2025

Feature-Based Online Bilateral Trade.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Demographic parity in regression and classification within the unawareness framework.
CoRR, 2024

Open Research Challenges for Private Advertising Systems Under Local Differential Privacy.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Improved Algorithms for Contextual Dynamic Pricing.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Fair learning with Wasserstein barycenters for non-decomposable performance measures.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
The price of unfairness in linear bandits with biased feedback.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Outlier detection in networks with missing links.
Comput. Stat. Data Anal., 2021

Optimality of variational inference for stochasticblock model with missing links.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Finite Continuum-Armed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Link Prediction in the Stochastic Block Model with Outliers.
CoRR, 2019


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