Machine Learning – Publications

83 entries « 1 of 5 »
1.

Koyuncu, Batuhan; Melek, Ahmet; Yilmaz, Defne; Tuzer, Mert; Unlu, Mehmet Burcin

Chemotherapy Response Prediction with Diffuser Elapser Network Journal Article

In: Scientific Reports, vol. 12, iss. 1, pp. 1-13, 2022.

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2.

Rateike, Miriam; Majumdar, Ayan; Mineeva, Olga; Gummadi, Krishna P.; Valera, Isabel

Don’t Throw It Away! The Utility of Unlabeled Data in Fair Decision Making Inproceedings

In: 2022 ACM Conference on Fairness, Accountability, and Transparency, pp. 1421–1433, Association for Computing Machinery, Seoul, Republic of Korea, 2022, ISBN: 9781450393522.

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3.

Javaloy, Adrián; Meghdadi, Maryam; Valera, Isabel

Boosting heterogeneous VAEs via multi-objective optimization Workshop

2021.

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4.

Koyuncu, Batuhan

Analysis of ODE2VAE with Examples Workshop

Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS), 2021.

Abstract | Links | BibTeX

5.

Javaloy, Adrián; Valera, Isabel

Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning Journal Article

In: CoRR, vol. abs/2103.02631, 2021.

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6.

Karimi, Amir-Hossein; Ripani, Luigia; Georgiou, Tryphon T.

Statistical Learning in Wasserstein Space Journal Article

In: IEEE Control. Syst. Lett., vol. 5, no. 3, pp. 899–904, 2021.

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7.

Mohammadi, Kiarash; Karimi, Amir-Hossein; Barthe, Gilles; Valera, Isabel

Scaling Guarantees for Nearest Counterfactual Explanations Inproceedings

In: Fourcade, Marion; Kuipers, Benjamin; Lazar, Seth; Mulligan, Deirdre K. (Ed.): AIES '21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021, pp. 177–187, ACM, 2021.

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8.

Karimi, Amir-Hossein; Georgiou, Tryphon T.

The Challenge of Small Data: Dynamic Mode Decomposition, Redux Inproceedings

In: 60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX, USA, December 14-17, 2021, pp. 2276–2281, IEEE, 2021.

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9.

Karimi, Amir-Hossein; Schölkopf, Bernhard; Valera, Isabel

Algorithmic Recourse: from Counterfactual Explanations to Interventions Inproceedings

In: Elish, Madeleine Clare; Isaac, William; Zemel, Richard S. (Ed.): FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency, Virtual Event / Toronto, Canada, March 3-10, 2021, pp. 353–362, ACM, 2021.

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10.

Karimi, Amir-Hossein; Georgiou, Tryphon T.

Regression analysis of distributional data through Multi-Marginal Optimal transport Journal Article

In: CoRR, vol. abs/2106.15031, 2021.

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11.

Dominguez-Olmedo, Ricardo; Karimi, Amir-Hossein; Schölkopf, Bernhard

On the Adversarial Robustness of Causal Algorithmic Recourse Journal Article

In: CoRR, vol. abs/2112.11313, 2021.

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12.

Sánchez-Martín, Pablo; Rateike, Miriam; Valera, Isabel

VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Journal Article

In: CoRR, vol. abs/2110.14690, 2021.

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13.

Nanda, Vedant; Majumdar, Ayan; Kolling, Camila; Dickerson, John P.; Gummadi, Krishna P.; Love, Bradley C.; Weller, Adrian

Exploring Alignment of Representations with Human Perception Journal Article

In: CoRR, vol. abs/2111.14726, 2021.

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14.

Schöffer, Jakob; Kuehl, Niklas; Valera, Isabel

A Ranking Approach to Fair Classification Inproceedings

In: COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021 - 2 July 2021, pp. 115–125, ACM, 2021.

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15.

Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey; Valera, Isabel (Ed.)

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part I Proceeding

Springer, vol. 12457, 2021, ISBN: 978-3-030-67657-5.

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16.

Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey; Valera, Isabel (Ed.)

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part II Proceeding

Springer, vol. 12458, 2021, ISBN: 978-3-030-67660-5.

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17.

Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey; Valera, Isabel (Ed.)

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part III Proceeding

Springer, vol. 12459, 2021, ISBN: 978-3-030-67663-6.

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18.

Gresele, Luigi; Fissore, Giancarlo; Javaloy, Adrián; Schölkopf, Bernhard; Hyvärinen, Aapo

Relative gradient optimization of the Jacobian term in unsupervised deep learning Inproceedings

In: Larochelle, Hugo; Ranzato, Marc'Aurelio; Hadsell, Raia; Balcan, Maria-Florina; Lin, Hsuan-Tien (Ed.): Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020.

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19.

Javaloy, Adrián; Valera, Isabel

Lipschitz standardization for robust multivariate learning Journal Article

In: CoRR, vol. abs/2002.11369, 2020.

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20.

Karimi, Amir-Hossein; Barthe, Gilles; Balle, Borja; Valera, Isabel

Model-Agnostic Counterfactual Explanations for Consequential Decisions Inproceedings

In: Chiappa, Silvia; Calandra, Roberto (Ed.): The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], pp. 895–905, PMLR, 2020.

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83 entries « 1 of 5 »