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2021

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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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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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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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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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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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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2020

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

Algorithmic Recourse: from Counterfactual Explanations to Interventions Journal Article

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

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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.

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

Scaling Guarantees for Nearest Counterfactual Explanations Journal Article

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

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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.

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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.

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2019

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.

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2018

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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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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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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2017

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.

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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.

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

JADE: Joint Autoencoders for Dis-Entanglement Journal Article

In: CoRR, vol. abs/1711.09163, 2017.

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2016

Novin, Roya Sabbagh; Karimi, Amir-Hossein; Yazdani, Mojtaba; Masouleh, Mehdi Tale

Optimal motion planning for parallel robots via convex optimization and receding horizon Journal Article

In: Adv. Robotics, vol. 30, no. 17-18, pp. 1145–1163, 2016.

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Miller, Alexander H.; Fisch, Adam; Dodge, Jesse; Karimi, Amir-Hossein; Bordes, Antoine; Weston, Jason

Key-Value Memory Networks for Directly Reading Documents Inproceedings

In: Su, Jian; Carreras, Xavier; Duh, Kevin (Ed.): Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016, pp. 1400–1409, The Association for Computational Linguistics, 2016.

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Karimi, Amir-Hossein; Shafiee, Mohammad Javad; Scharfenberger, Christian; BenDaya, I.; Haider, Shahid A.; Talukdar, N.; Clausi, David A.; Wong, Alexander

Spatio-temporal saliency detection using abstracted fully-connected graphical models Inproceedings

In: 2016 IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, USA, September 25-28, 2016, pp. 694–698, IEEE, 2016.

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