Vitaly Kuznetsov
Vitaly Kuznetsov
Researcher, Hudson River Trading
Bestätigte E-Mail-Adresse bei cims.nyu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1842017
Learning Theory and Algorithms for Forecasting Non-stationary Time Series.
V Kuznetsov, M Mohri
NIPS, 541-549, 2015
592015
Multi-class deep boosting
V Kuznetsov, M Mohri, U Syed
582014
Generalization bounds for time series prediction with non-stationary processes
V Kuznetsov, M Mohri
International conference on algorithmic learning theory, 260-274, 2014
432014
Structured prediction theory based on factor graph complexity
C Cortes, V Kuznetsov, M Mohri, S Yang
Advances in Neural Information Processing Systems 29, 2514-2522, 2016
392016
Generalization bounds for non-stationary mixing processes
V Kuznetsov, M Mohri
Machine Learning 106 (1), 93-117, 2017
382017
Ensemble methods for structured prediction
C Cortes, V Kuznetsov, M Mohri
International Conference on Machine Learning, 1134-1142, 2014
332014
Time series prediction and online learning
V Kuznetsov, M Mohri
Conference on Learning Theory, 1190-1213, 2016
322016
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
172015
Learning n-gram language models from uncertain data
V Kuznetsov, H Liao, M Mohri, M Riley, B Roark
162016
Foundations of sequence-to-sequence modeling for time series
V Kuznetsov, Z Mariet
arXiv preprint arXiv:1805.03714, 2018
142018
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
102019
Foundations of sequence-to-sequence modeling for time series
Z Mariet, V Kuznetsov
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
102019
Discrepancy-based algorithms for non-stationary rested bandits
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yang
arXiv preprint arXiv:1710.10657, 2017
102017
Kernel extraction via voted risk minimization
C Cortes, P Goyal, V Kuznetsov, M Mohri
Feature Extraction: Modern Questions and Challenges, 72-89, 2015
72015
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
72015
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
62013
Discriminative state-space models
V Kuznetsov, M Mohri
Proceedings of the 31st International Conference on Neural Information …, 2017
52017
Learning ensembles of structured prediction rules
C Cortes, V Kuznetsov, M Mohri
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
52014
Theory and algorithms for forecasting time series
V Kuznetsov, M Mohri
arXiv preprint arXiv:1803.05814, 2018
42018
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