Nikola H Konstantinov
Graduate School
Lampert Group
8 Publications
2022 | Journal Article | IST-REx-ID: 10802 | 
Fairness-aware PAC learning from corrupted data
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.
View
| Files available
| arXiv
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.
2022 | Journal Article | IST-REx-ID: 12495 |
FLEA: Provably robust fair multisource learning from unreliable training data
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
View
| Files available
| Download Published Version (ext.)
| arXiv
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
2022 | Thesis | IST-REx-ID: 10799 |
Robustness and fairness in machine learning
N.H. Konstantinov, Robustness and Fairness in Machine Learning, IST Austria, 2022.
View
| Files available
| DOI
N.H. Konstantinov, Robustness and Fairness in Machine Learning, IST Austria, 2022.
2021 | Preprint | IST-REx-ID: 10803 |
Fairness through regularization for learning to rank
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
View
| Files available
| Download Preprint (ext.)
| arXiv
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
2020 | Conference Paper | IST-REx-ID: 8724 |
On the sample complexity of adversarial multi-source PAC learning
N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, in:, Proceedings of the 37th International Conference on Machine Learning, ML Research Press, 2020, pp. 5416–5425.
View
| Files available
| arXiv
N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, in:, Proceedings of the 37th International Conference on Machine Learning, ML Research Press, 2020, pp. 5416–5425.
2019 | Conference Paper | IST-REx-ID: 6590 |
Robust learning from untrusted sources
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 3488–3498.
View
| Files available
| Download Preprint (ext.)
| arXiv
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 3488–3498.
2018 | Conference Paper | IST-REx-ID: 5962 |
The convergence of stochastic gradient descent in asynchronous shared memory
D.-A. Alistarh, C. De Sa, N.H. Konstantinov, in:, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, ACM Press, 2018, pp. 169–178.
View
| DOI
| Download Preprint (ext.)
| arXiv
D.-A. Alistarh, C. De Sa, N.H. Konstantinov, in:, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, ACM Press, 2018, pp. 169–178.
2018 | Conference Paper | IST-REx-ID: 6589 |
The convergence of sparsified gradient methods
D.-A. Alistarh, T. Hoefler, M. Johansson, N.H. Konstantinov, S. Khirirat, C. Renggli, in:, Advances in Neural Information Processing Systems 31, Neural information processing systems, 2018, pp. 5973–5983.
View
| Download Preprint (ext.)
| arXiv
D.-A. Alistarh, T. Hoefler, M. Johansson, N.H. Konstantinov, S. Khirirat, C. Renggli, in:, Advances in Neural Information Processing Systems 31, Neural information processing systems, 2018, pp. 5973–5983.
8 Publications
2022 | Journal Article | IST-REx-ID: 10802 |
Fairness-aware PAC learning from corrupted data
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.
View
| Files available
| arXiv
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.
2022 | Journal Article | IST-REx-ID: 12495 |
FLEA: Provably robust fair multisource learning from unreliable training data
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
View
| Files available
| Download Published Version (ext.)
| arXiv
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
2022 | Thesis | IST-REx-ID: 10799 |
Robustness and fairness in machine learning
N.H. Konstantinov, Robustness and Fairness in Machine Learning, IST Austria, 2022.
View
| Files available
| DOI
N.H. Konstantinov, Robustness and Fairness in Machine Learning, IST Austria, 2022.
2021 | Preprint | IST-REx-ID: 10803 |
Fairness through regularization for learning to rank
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
View
| Files available
| Download Preprint (ext.)
| arXiv
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
2020 | Conference Paper | IST-REx-ID: 8724 |
On the sample complexity of adversarial multi-source PAC learning
N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, in:, Proceedings of the 37th International Conference on Machine Learning, ML Research Press, 2020, pp. 5416–5425.
View
| Files available
| arXiv
N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, in:, Proceedings of the 37th International Conference on Machine Learning, ML Research Press, 2020, pp. 5416–5425.
2019 | Conference Paper | IST-REx-ID: 6590 |
Robust learning from untrusted sources
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 3488–3498.
View
| Files available
| Download Preprint (ext.)
| arXiv
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 3488–3498.
2018 | Conference Paper | IST-REx-ID: 5962 |
The convergence of stochastic gradient descent in asynchronous shared memory
D.-A. Alistarh, C. De Sa, N.H. Konstantinov, in:, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, ACM Press, 2018, pp. 169–178.
View
| DOI
| Download Preprint (ext.)
| arXiv
D.-A. Alistarh, C. De Sa, N.H. Konstantinov, in:, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, ACM Press, 2018, pp. 169–178.
2018 | Conference Paper | IST-REx-ID: 6589 |
The convergence of sparsified gradient methods
D.-A. Alistarh, T. Hoefler, M. Johansson, N.H. Konstantinov, S. Khirirat, C. Renggli, in:, Advances in Neural Information Processing Systems 31, Neural information processing systems, 2018, pp. 5973–5983.
View
| Download Preprint (ext.)
| arXiv
D.-A. Alistarh, T. Hoefler, M. Johansson, N.H. Konstantinov, S. Khirirat, C. Renggli, in:, Advances in Neural Information Processing Systems 31, Neural information processing systems, 2018, pp. 5973–5983.