People

Amir-Hossein Karimi

Max Planck Institute for Intelligent Systems

E: amirhkarimi@gmail.com
T: @amirhkarimi_

About me

Amir-Hossein Karimi is a PhD student at the Max Planck ETH Center for Learning Systems, supervised by Prof. Dr. Schölkopf and Prof. Dr. Valera. His work focuses on the intersection of causal and explainable machine learning, primarily on the problem of algorithmic recourse, that is, how to help individuals subject to automated algorithmic systems overcome unfavorable predictions. Amir is supported through the generous support of NSERC, CLS, and Google PhD Fellowships.

Publications

24 entries « 1 of 2 »
1.

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.

Links | BibTeX

2.

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.

Links | BibTeX

3.

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.

Links | BibTeX

4.

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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5.

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.

Links | BibTeX

6.

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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7.

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.

Links | BibTeX

8.

Karimi, Amir-Hossein; Kügelgen, Bodo Julius; Schölkopf, Bernhard; Valera, Isabel

Algorithmic recourse under imperfect causal knowledge: a probabilistic approach 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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9.

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

Algorithmic Recourse: from Counterfactual Explanations to Interventions Journal Article

In: CoRR, vol. abs/2002.06278, 2020.

Links | BibTeX

10.

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

Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Journal Article

In: CoRR, vol. abs/2006.06831, 2020.

Links | BibTeX

11.

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

A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Journal Article

In: CoRR, vol. abs/2010.04050, 2020.

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12.

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

Scaling Guarantees for Nearest Counterfactual Explanations Journal Article

In: CoRR, vol. abs/2010.04965, 2020.

Links | BibTeX

13.

Kügelgen, Julius; Bhatt, Umang; Karimi, Amir-Hossein; Valera, Isabel; Weller, Adrian; Schölkopf, Bernhard

On the Fairness of Causal Algorithmic Recourse Journal Article

In: CoRR, vol. abs/2010.06529, 2020.

Links | BibTeX

14.

Karimi, Amir-Hossein; Georgiou, Tryphon T.

Data-Driven Approximation of the Perron-Frobenius Operator Using the Wasserstein Metric Journal Article

In: CoRR, vol. abs/2011.00759, 2020.

Links | BibTeX

15.

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

Model-Agnostic Counterfactual Explanations for Consequential Decisions Journal Article

In: CoRR, vol. abs/1905.11190, 2019.

Links | BibTeX

16.

Wang, Rick; Karimi, Amir-Hossein; Ghodsi, Ali

Distance Correlation Autoencoder Inproceedings

In: 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, pp. 1–8, IEEE, 2018.

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17.

Karimi, Amir-Hossein; Wong, Alexander; Ghodsi, Ali

SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections Journal Article

In: CoRR, vol. abs/1811.03166, 2018.

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18.

Banijamali, Ershad; Karimi, Amir-Hossein; Ghodsi, Ali

Deep Variational Sufficient Dimensionality Reduction Journal Article

In: CoRR, vol. abs/1812.07641, 2018.

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19.

Karimi, Amir-Hossein; Chung, Audrey G.; Shafiee, Mohammad Javad; Khalvati, Farzad; Haider, Masoom A.; Ghodsi, Ali; Wong, Alexander

Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification Inproceedings

In: Karray, Fakhri; Campilho, Aurélio; Cheriet, Farida (Ed.): Image Analysis and Recognition - 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5-7, 2017, Proceedings, pp. 45–53, Springer, 2017.

Links | BibTeX

20.

Karimi, Amir-Hossein; Shafiee, M. J.; Ghodsi, Ali; Wong, Alexander

Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions Journal Article

In: CoRR, vol. abs/1707.00081, 2017.

Links | BibTeX

24 entries « 1 of 2 »