| 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 | 473 | 2018 |
| Robust Learning from Untrusted Sources N Konstantinov, C Lampert International Conference on Machine Learning (ICML), 2019 | 67 | 2019 |
| 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 | 42 | 2018 |
| 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 | 23 | 2020 |
| Fairness-aware PAC learning from corrupted data N Konstantinov, CH Lampert Journal of Machine Learning Research 23 (160), 1-60, 2022 | 22 | 2022 |
| Data Leakage in Federated Averaging DI Dimitrov, M Balunovic, N Konstantinov, M Vechev Transactions on Machine Learning Research, 2022 | 10 | 2022 |
| FLEA: Provably Fair Multisource Learning from Unreliable Training Data E Iofinova, N Konstantinov, CH Lampert arXiv preprint arXiv:2106.11732, 2021 | 8 | 2021 |
| Fairness Through Regularization for Learning to Rank N Konstantinov, CH Lampert arXiv preprint arXiv:2102.05996, 2021 | 7 | 2021 |
| 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 | 6 | 2022 |
| Robustness and fairness in machine learning NH Konstantinov | 1 | 2022 |
| Incentivizing Honesty among Competitors in Collaborative Learning FE Dorner, N Konstantinov, GS Pashaliev, M Vechev The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023 | | 2023 |
| Strategic Data Sharing between Competitors N Tsoy, N Konstantinov To appear in: Conference on Neural Information Processing Systems (NeurIPS …, 2023 | | 2023 |
| Incentivizing Honesty among Competitors in Collaborative Learning and Optimization FE Dorner, N Konstantinov, G Pashaliev, M Vechev To appear in: Conference on Neural Information Processing Systems (NeurIPS …, 2023 | | 2023 |
| Human-Guided Fair Classification for Natural Language Processing FE Dorner, M Peychev, N Konstantinov, N Goel, E Ash, M Vechev arXiv preprint arXiv:2212.10154, 2022 | | 2022 |
Dan AlistarhIST AustriaVerified email at ist.ac.at
