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Nikola Konstantinov
Nikola Konstantinov
Postdoctoral Fellow, ETH AI Center
Verified email at ist.ac.at - Homepage
Title
Cited by
Cited by
Year
The convergence of sparsified gradient methods
D Alistarh, T Hoefler, M Johansson, N Konstantinov, S Khirirat, C Renggli
Advances in Neural Information Processing Systems, 5973-5983, 2018
2962018
Robust Learning from Untrusted Sources
N Konstantinov, C Lampert
International Conference on Machine Learning (ICML), 2019
402019
The convergence of stochastic gradient descent in asynchronous shared memory
D Alistarh, C De Sa, N Konstantinov
Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing …, 2018
332018
On the Sample Complexity of Adversarial Multi-Source PAC Learning
N Konstantinov, E Frantar, D Alistarh, CH Lampert
International Conference on Machine Learning (ICML), 2020
122020
Fairness-Aware PAC Learning from Corrupted Data
N Konstantinov, CH Lampert
arXiv preprint arXiv:2102.06004, 2021
7*2021
FLEA: Provably Fair Multisource Learning from Unreliable Training Data
E Iofinova, N Konstantinov, CH Lampert
arXiv preprint arXiv:2106.11732, 2021
22021
Fairness Through Regularization for Learning to Rank
N Konstantinov, CH Lampert
arXiv preprint arXiv:2102.05996, 2021
12021
On the Impossibility of Fairness-Aware Learning from Corrupted Data
N Konstantinov, CH Lampert
Algorithmic Fairness through the Lens of Causality and Robustness workshop …, 2022
2022
Robustness and fairness in machine learning
NH Konstantinov
2022
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Articles 1–9