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114 Publications
2022 | Journal Article | IST-REx-ID: 10802 | 
N. H. Konstantinov and C. Lampert, “Fairness-aware PAC learning from corrupted data,” Journal of Machine Learning Research, vol. 23. ML Research Press, pp. 1–60, 2022.
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| arXiv
2022 | Conference Paper | IST-REx-ID: 13241 |
N. H. Konstantinov and C. Lampert, “On the impossibility of fairness-aware learning from corrupted data,” in Proceedings of Machine Learning Research, 2022, vol. 171, pp. 59–83.
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| arXiv
2022 | Thesis | IST-REx-ID: 10799 |
N. H. Konstantinov, “Robustness and fairness in machine learning,” Institute of Science and Technology Austria, 2022.
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2021 | Conference Paper | IST-REx-ID: 9210 |
V. Volhejn and C. Lampert, “Does SGD implicitly optimize for smoothness?,” in 42nd German Conference on Pattern Recognition, Tübingen, Germany, 2021, vol. 12544, pp. 246–259.
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2021 | Conference Paper | IST-REx-ID: 9416 |
M. Phuong and C. Lampert, “The inductive bias of ReLU networks on orthogonally separable data,” in 9th International Conference on Learning Representations, Virtual, 2021.
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2021 | Preprint | IST-REx-ID: 10803 |
N. H. Konstantinov and C. Lampert, “Fairness through regularization for learning to rank,” arXiv. .
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| arXiv
2021 | Thesis | IST-REx-ID: 9418 |
M. Phuong, “Underspecification in deep learning,” Institute of Science and Technology Austria, 2021.
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2020 | Preprint | IST-REx-ID: 8063 |
T. Anciukevicius, C. Lampert, and P. M. Henderson, “Object-centric image generation with factored depths, locations, and appearances,” arXiv. .
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| arXiv
2020 | Conference Paper | IST-REx-ID: 8188 |
P. M. Henderson and C. Lampert, “Unsupervised object-centric video generation and decomposition in 3D,” in 34th Conference on Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 3106–3117.
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| arXiv