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

27 entries « 1 of 2 »
1.

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

A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations Journal Article

In: ACM Comput. Surv., vol. 55, no. 5, pp. 95:1–95:29, 2023.

Links | BibTeX

2.

Ehyaei, Ahmad-Reza; Karimi, Amir-Hossein; Schölkopf, Bernhard; Maghsudi, Setareh

Robustness Implies Fairness in Causal Algorithmic Recourse Journal Article

In: CoRR, vol. abs/2302.03465, 2023.

Links | BibTeX

3.

Akbari, Masoud; Karimi, Amir-Hossein; Saeedi, Tayyebeh; Saeidi, Zeinab; Ghezelbash, Kiana; Shamsezat, Fatemeh; Akbari, Mohammad; Mohades, Ali

A Persian Benchmark for Joint Intent Detection and Slot Filling Journal Article

In: CoRR, vol. abs/2303.00408, 2023.

Links | BibTeX

4.

Karimi, Mohammad Reza; Karimi, Amir-Hossein; Abolmaali, Shamsozoha; Sadeghi, Mehdi; Schmitz, Ulf

Prospects and challenges of cancer systems medicine: from genes to disease networks Journal Article

In: Briefings Bioinform., vol. 23, no. 1, 2022.

Links | BibTeX

5.

Karimi, Amir-Hossein; Mirian, Seyed Farshad; Mahmoudi, Farshid; Geraily, Ghazale; Vega-Carrillo, Héctor René; Mohiuddin, Majid

Feasibility of 18-MV grid therapy from radiation protection aspects: unwanted dose and fatal cancer risk caused by photoneutrons and scattered photons Journal Article

In: Comput. Methods Programs Biomed., vol. 213, pp. 106524, 2022.

Links | BibTeX

6.

Karimi, Amir-Hossein; Muandet, Krikamol; Kornblith, Simon; Schölkopf, Bernhard; Kim, Been

On the Relationship Between Explanation and Prediction: A Causal View Journal Article

In: CoRR, vol. abs/2212.06925, 2022.

Links | BibTeX

7.

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

On the Fairness of Causal Algorithmic Recourse Proceedings Article

In: Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pp. 9584–9594, AAAI Press, 2022.

Links | BibTeX

8.

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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9.

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

Scaling Guarantees for Nearest Counterfactual Explanations Proceedings Article

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

10.

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

Algorithmic Recourse: from Counterfactual Explanations to Interventions Proceedings Article

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.

Links | BibTeX

11.

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

12.

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.

Links | BibTeX

13.

Karimi, Amir-Hossein; Georgiou, Tryphon T.

The Challenge of Small Data: Dynamic Mode Decomposition, Redux Journal Article

In: CoRR, vol. abs/2104.04005, 2021.

Links | BibTeX

14.

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

Model-Agnostic Counterfactual Explanations for Consequential Decisions Proceedings Article

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

15.

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

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

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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16.

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.

Links | BibTeX

17.

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

18.

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

Towards Causal Algorithmic Recourse Proceedings Article

In: Holzinger, Andreas; Goebel, Randy; Fong, Ruth; Moon, Taesup; Müller, Klaus-Robert; Samek, Wojciech (Ed.): xxAI - Beyond Explainable AI - International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers, pp. 139–166, Springer, 2020.

Links | BibTeX

19.

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

Distance Correlation Autoencoder Proceedings Article

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

Links | BibTeX

20.

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.

Links | BibTeX

27 entries « 1 of 2 »