109 citations · 194 across the 11 of their papers we have counts for
Showing 2018Show all
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cs.LG2018★ 24 cited
Foundations of Sequence-to-Sequence Modeling for Time Series
Vitaly Kuznetsov, Zelda Mariet
The availability of large amounts of time series data, paired with the performance of deep-learning algorithms on a broad class of problems, has recently led to significant interes…
cs.LG2018
Online Non-Additive Path Learning under Full and Partial Information
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri +2
We study the problem of online path learning with non-additive gains, which is a central problem appearing in several applications, including ensemble structured prediction. We pre…
cs.LG2018★ 6 cited
Theory and Algorithms for Forecasting Time Series
Vitaly Kuznetsov, Mehryar Mohri
We present data-dependent learning bounds for the general scenario of non-stationary non-mixing stochastic processes. Our learning guarantees are expressed in terms of a data-depen…