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ORCIDRuta Binkyte
Person information
- unicode name: Rūta Binkytė
- affiliation: Inria Saclay - île-de-France Research Centre, Palaiseau, France
- affiliation: Polytechnic Institute of Paris (IPP), Palaiseau, France
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2020 – today
- 2024
[c3]Ruta Binkyte, Carlos Antonio Pinzóon, Szilvia Lestyan, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi:
Causal Discovery Under Local Privacy. CLeaR 2024: 325-383- [c2]Ruta Binkyte
, Daniele Gorla, Catuscia Palamidessi:
BaBE: Enhancing Fairness via Estimation of Explaining Variables. FAccT 2024: 1917-1925 - 2023
- [b1]Ruta Binkyte:
Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints. (Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints). École Polytechnique, Palaiseau, France, 2023 - [j2]Ruta Binkyte:
Distant Reading and Viewing: "Big Questions" in Digital Art History and Digital Literary Studies. Digit. Humanit. Q. 17(2) (2023) - [j1]Natalia Díaz Rodríguez, Ruta Binkyte, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Sami Zhioua, Raja Chatila:
Gender and sex bias in COVID-19 epidemiological data through the lens of causality. Inf. Process. Manag. 60(3): 103276 (2023) - [i7]Sami Zhioua, Ruta Binkyte:
Shedding light on underrepresentation and Sampling Bias in machine learning. CoRR abs/2306.05068 (2023) - [i6]Ruta Binkyte, Daniele Gorla, Catuscia Palamidessi:
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables. CoRR abs/2307.02891 (2023) - [i5]Ruta Binkyte, Sami Zhioua, Yassine Turki:
Dissecting Causal Biases. CoRR abs/2310.13364 (2023) - [i4]Ruta Binkyte, Carlos Pinzón, Szilvia Lestyán, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi:
Causal Discovery Under Local Privacy. CoRR abs/2311.04037 (2023) - 2022
- [c1]Ruta Binkyte, Karima Makhlouf, Carlos Pinzón, Sami Zhioua, Catuscia Palamidessi:
Causal Discovery for Fairness. AFCP 2022: 7-22 - [i3]Ruta Binkyte-Sadauskiene, Karima Makhlouf, Carlos Pinzón, Sami Zhioua, Catuscia Palamidessi:
Causal Discovery for Fairness. CoRR abs/2206.06685 (2022) - [i2]Ruta Binkyte, Sami Zhioua:
On the Need and Applicability of Causality for Fair Machine Learning. CoRR abs/2207.04053 (2022) - 2021
- [i1]Natalia Díaz Rodríguez, Ruta Binkyte-Sadauskiene, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Raja G. Chatila:
Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics. CoRR abs/2104.14492 (2021)
Coauthor Index
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last updated on 2024-07-09 03:34 CEST by the dblp team
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