Vitaly Kuznetsov

28 papers A* 6A 2B 2Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2020 J jnl
Discrepancy-Based Theory and Algorithms for Forecasting Non-Stationary Time Series.
Ann. Math. Artif. Intell.
Vitaly Kuznetsov, Mehryar Mohri
2019 J jnl
AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles.
CoRR
Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes
2019 A conf
Foundations of Sequence-to-Sequence Modeling for Time Series.
AISTATS
Zelda Mariet, Vitaly Kuznetsov
2019 B conf
Online Non-Additive Path Learning under Full and Partial Information.
ALT
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth
2018 A* conf
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses.
NeurIPS
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Dmitry Storcheus, Scott Yang
2018 J jnl
Foundations of Sequence-to-Sequence Modeling for Time Series.
CoRR
Vitaly Kuznetsov, Zelda Mariet
2018 J jnl
Online Non-Additive Path Learning under Full and Partial Information.
CoRR
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth
2018 J jnl
Theory and Algorithms for Forecasting Time Series.
CoRR
Vitaly Kuznetsov, Mehryar Mohri
2017 A* conf
AdaNet: Adaptive Structural Learning of Artificial Neural Networks.
ICML
Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
2017 — conf
Discriminative State Space Models.
NIPS
Vitaly Kuznetsov, Mehryar Mohri
2017 J jnl
Generalization bounds for non-stationary mixing processes.
Mach. Learn.
Vitaly Kuznetsov, Mehryar Mohri
2017 — ed.
Proceedings of the NIPS 2016 Time Series Workshop, co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, December 9, 2016
NIPS Time Series Workshop
Oren Anava, Azadeh Khaleghi, Marco Cuturi, Vitaly Kuznetsov, Alexander Rakhlin
2016 J jnl
AdaNet: Adaptive Structural Learning of Artificial Neural Networks.
CoRR
Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
2016 A conf
Learning N-Gram Language Models from Uncertain Data.
INTERSPEECH
Vitaly Kuznetsov, Hank Liao, Mehryar Mohri, Michael Riley, Brian Roark
2016 — conf
Structured Prediction Theory Based on Factor Graph Complexity.
NIPS
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
2016 J jnl
Structured Prediction Theory and Voted Risk Minimization.
CoRR
Corinna Cortes, Mehryar Mohri, Vitaly Kuznetsov, Scott Yang
2016 A* conf
Time series prediction and online learning.
COLT
Vitaly Kuznetsov, Mehryar Mohri
2015 — conf
Kernel Extraction via Voted Risk Minimization.
FE@NIPS
Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri
2015 — conf
Learning Theory and Algorithms for Forecasting Non-stationary Time Series.
NIPS
Vitaly Kuznetsov, Mehryar Mohri
2015 A* conf
On-Line Learning Algorithms for Path Experts with Non-Additive Losses.
COLT
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Manfred K. Warmuth
2015 A* conf
Structural Maxent Models.
ICML
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
2015 J jnl
Voted Kernel Regularization.
CoRR
Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri
2014 A* conf
Ensemble Methods for Structured Prediction.
ICML
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
2014 B conf
Generalization Bounds for Time Series Prediction with Non-stationary Processes.
ALT
Vitaly Kuznetsov, Mehryar Mohri
2014 — conf
Learning Ensembles of Structured Prediction Rules.
ACL (1)
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
2014 — conf
Multi-Class Deep Boosting.
NIPS
Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
2014 J jnl
Nested Recursions, Simultaneous Parameters and Tree Superpositions.
Electron. J. Comb.
Abraham Isgur, Vitaly Kuznetsov, Mustazee Rahman, Stephen M. Tanny
2013 J jnl
Nested Recursions, Simultaneous Parameters and Tree Superpositions
CoRR
Abraham Isgur, Vitaly Kuznetsov, Mustazee Rahman, Stephen M. Tanny