Vitaly Kuznetsov
14 papers · 2014–2019 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(12)
Optimization & Theory
(11)
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(6)
Artificial Intelligence
(4)
Learning Types
(4)
Data Science & Analytics
(3)
Methods
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
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(2)
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(2)
Deep Learning
(1)
Natural Language Processing
(1)
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(1)
Keywords
online learning
(4)
structured prediction
(3)
time series forecasting
(3)
boosting algorithm
(2)
ensemble learning
(2)
learning theory
(2)
multi-class classification
(2)
rademacher complexity
(2)
non-stationary time series
(2)
deep learning
(1)
neural architecture search
(1)
adaptive learning
(1)
model selection
(1)
theoretical analysis
(1)
language model adaptation
(1)
speech recognition
(1)
structural learning
(1)
feature selection
(1)
time series
(1)
regret minimization
(1)
Papers
Foundations of Sequence-to-Sequence Modeling for Time Series
AISTATS 2019
Online Non-Additive Path Learning under Full and Partial Information
ALT 2019
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses
NeurIPS 2018
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
ICML 2017
Discriminative State Space Models
NeurIPS 2017
Learning N-Gram Language Models from Uncertain Data
Interspeech 2016
Structured Prediction Theory Based on Factor Graph Complexity
NeurIPS 2016
Time series prediction and online learning
COLT 2016
Learning Theory and Algorithms for Forecasting Non-stationary Time Series
NeurIPS 2015
On-Line Learning Algorithms for Path Experts with Non-Additive Losses
COLT 2015
Structural Maxent Models
ICML 2015
Ensemble Methods for Structured Prediction
ICML 2014
Learning Ensembles of Structured Prediction Rules
ACL 2014
Multi-Class Deep Boosting
NeurIPS 2014