| Adanet: Adaptive structural learning of artificial neural networks C Cortes, X Gonzalvo, V Kuznetsov, M Mohri, S Yang International conference on machine learning, 874-883, 2017 | 373 | 2017 |
| Learning theory and algorithms for forecasting non-stationary time series V Kuznetsov, M Mohri Advances in neural information processing systems 28, 2015 | 109 | 2015 |
| Generalization bounds for non-stationary mixing processes V Kuznetsov, M Mohri Machine Learning 106 (1), 93-117, 2017 | 100 | 2017 |
| Multi-class deep boosting V Kuznetsov, M Mohri, U Syed Advances in Neural Information Processing Systems 27, 2014 | 96 | 2014 |
| Generalization bounds for time series prediction with non-stationary processes V Kuznetsov, M Mohri Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled …, 2014 | 78 | 2014 |
| Time series prediction and online learning V Kuznetsov, M Mohri Conference on Learning Theory, 1190-1213, 2016 | 72 | 2016 |
| Structured prediction theory based on factor graph complexity C Cortes, V Kuznetsov, M Mohri, S Yang Advances in Neural Information Processing Systems 29, 2016 | 69 | 2016 |
| Foundations of sequence-to-sequence modeling for time series Z Mariet, V Kuznetsov The 22nd international conference on artificial intelligence and statistics …, 2019 | 51 | 2019 |
| Discrepancy-based theory and algorithms for forecasting non-stationary time series V Kuznetsov, M Mohri Annals of Mathematics and Artificial Intelligence 88 (4), 367-399, 2020 | 40 | 2020 |
| Ensemble methods for structured prediction C Cortes, V Kuznetsov, M Mohri International Conference on Machine Learning, 1134-1142, 2014 | 35 | 2014 |
| Foundations of sequence-to-sequence modeling for time series V Kuznetsov, Z Mariet arXiv preprint arXiv:1805.03714, 2018 | 32 | 2018 |
| Learning N-Gram Language Models from Uncertain Data. V Kuznetsov, H Liao, M Mohri, M Riley, B Roark INTERSPEECH, 2323-2327, 2016 | 24 | 2016 |
| Rademacher complexity margin bounds for learning with a large number of classes V Kuznetsov, M Mohri, U Syed ICML Workshop on Extreme Classification: Learning with a Very Large Number …, 2015 | 24 | 2015 |
| Adanet: A scalable and flexible framework for automatically learning ensembles C Weill, J Gonzalvo, V Kuznetsov, S Yang, S Yak, H Mazzawi, E Hotaj, ... arXiv preprint arXiv:1905.00080, 2019 | 22 | 2019 |
| Discrepancy-based algorithms for non-stationary rested bandits C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yang arXiv preprint arXiv:1710.10657, 2017 | 20 | 2017 |
| Theory and algorithms for forecasting time series V Kuznetsov, M Mohri arXiv preprint arXiv:1803.05814, 2018 | 10 | 2018 |
| A combinatorial approach for solving certain nested recursions with non-slow solutions A Isgur, V Kuznetsov, SM Tanny Journal of Difference Equations and Applications 19 (4), 605-614, 2013 | 9 | 2013 |
| On-line learning algorithms for path experts with non-additive losses C Cortes, V Kuznetsov, M Mohri, M Warmuth Conference on Learning Theory, 424-447, 2015 | 8 | 2015 |
| Structural maxent models C Cortes, V Kuznetsov, M Mohri, U Syed International Conference on Machine Learning, 391-399, 2015 | 8 | 2015 |
| Nested recursions with ceiling function solutions A Isgur, V Kuznetsov, SM Tanny Journal of Difference Equations and Applications 18 (6), 1015-1026, 2012 | 8 | 2012 |
