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Vitaly Kuznetsov
Vitaly Kuznetsov
Researcher, Hudson River Trading
Adresse e-mail validée de cims.nyu.edu - Page d'accueil
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Année
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
2672017
Learning theory and algorithms for forecasting non-stationary time series
V Kuznetsov, M Mohri
Advances in neural information processing systems 28, 2015
742015
Multi-class deep boosting
V Kuznetsov, M Mohri, U Syed
Advances in Neural Information Processing Systems 27, 2014
632014
Generalization bounds for non-stationary mixing processes
V Kuznetsov, M Mohri
Machine Learning 106 (1), 93-117, 2017
572017
Generalization bounds for time series prediction with non-stationary processes
V Kuznetsov, M Mohri
International conference on algorithmic learning theory, 260-274, 2014
532014
Structured prediction theory based on factor graph complexity
C Cortes, V Kuznetsov, M Mohri, S Yang
Advances in Neural Information Processing Systems 29, 2016
472016
Time series prediction and online learning
V Kuznetsov, M Mohri
Conference on Learning Theory, 1190-1213, 2016
452016
Ensemble methods for structured prediction
C Cortes, V Kuznetsov, M Mohri
International Conference on Machine Learning, 1134-1142, 2014
312014
Foundations of sequence-to-sequence modeling for time series
Z Mariet, V Kuznetsov
The 22nd international conference on artificial intelligence and statistics …, 2019
302019
Foundations of sequence-to-sequence modeling for time series
V Kuznetsov, Z Mariet
arXiv preprint arXiv:1805.03714, 2018
222018
Learning n-gram language models from uncertain data
V Kuznetsov, H Liao, M Mohri, M Riley, B Roark
192016
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
172019
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
Discrepancy-based algorithms for non-stationary rested bandits
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yang
arXiv preprint arXiv:1710.10657, 2017
152017
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
102020
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
72013
Theory and algorithms for forecasting time series
V Kuznetsov, M Mohri
arXiv preprint arXiv:1803.05814, 2018
62018
Nested recursions with ceiling function solutions
A Isgur, V Kuznetsov, SM Tanny
Journal of Difference Equations and Applications 18 (6), 1015-1026, 2012
62012
Multi-armed bandits with non-stationary rewards
C Cortes, G DeSalvo, V Kuznetsov, M Mohri, S Yand
CoRR, abs/1710.10657 1, 2017
52017
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