Learning Ensembles of Structured Prediction Rules. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri (ACL (1), 2014)

Generalization Bounds for Time Series Prediction with Non-stationary Processes. - Vitaly Kuznetsov; Mehryar Mohri (ALT, 2014)

Ensemble Methods for Structured Prediction. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri (ICML, 2014)

Multi-Class Deep Boosting. - Vitaly Kuznetsov; Mehryar Mohri; Umar Syed (NIPS, 2014)

Nested Recursions, Simultaneous Parameters and Tree Superpositions. - Abraham Isgur; Vitaly Kuznetsov; Mustazee Rahman; Stephen M. Tanny (Electron. J. Comb., 2014)

On-Line Learning Algorithms for Path Experts with Non-Additive Losses. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Manfred K. Warmuth (COLT, 2015)

Structural Maxent Models. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Umar Syed (ICML, 2015)

Kernel Extraction via Voted Risk Minimization. - Corinna Cortes; Prasoon Goyal; Vitaly Kuznetsov; Mehryar Mohri (FE@NIPS, 2015)

Learning Theory and Algorithms for Forecasting Non-stationary Time Series. - Vitaly Kuznetsov; Mehryar Mohri (NIPS, 2015)

Voted Kernel Regularization. - Corinna Cortes; Prasoon Goyal; Vitaly Kuznetsov; Mehryar Mohri (CoRR, 2015)

Time series prediction and online learning. - Vitaly Kuznetsov; Mehryar Mohri (COLT, 2016)

Learning N-Gram Language Models from Uncertain Data. - Vitaly Kuznetsov; Hank Liao; Mehryar Mohri; Michael Riley 001; Brian Roark (INTERSPEECH, 2016)

Structured Prediction Theory Based on Factor Graph Complexity. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Scott Yang (NIPS, 2016)

Structured Prediction Theory and Voted Risk Minimization. - Corinna Cortes; Mehryar Mohri; Vitaly Kuznetsov; Scott Yang (CoRR, 2016)

AdaNet: Adaptive Structural Learning of Artificial Neural Networks. - Corinna Cortes; Xavier Gonzalvo; Vitaly Kuznetsov; Mehryar Mohri; Scott Yang (ICML, 2017)

Discriminative State Space Models. - Vitaly Kuznetsov; Mehryar Mohri (NIPS, 2017)

Generalization bounds for non-stationary mixing processes. - Vitaly Kuznetsov; Mehryar Mohri (Mach. Learn., 2017)

Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Dmitry Storcheus; Scott Yang (NeurIPS, 2018)

Theory and Algorithms for Forecasting Time Series. - Vitaly Kuznetsov; Mehryar Mohri (CoRR, 2018)

Foundations of Sequence-to-Sequence Modeling for Time Series. - Zelda Mariet; Vitaly Kuznetsov (AISTATS, 2019)

Online Non-Additive Path Learning under Full and Partial Information. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Holakou Rahmanian; Manfred K. Warmuth (ALT, 2019)

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles. - Charles Weill; Javier Gonzalvo; Vitaly Kuznetsov; Scott Yang; Scott Yak; Hanna Mazzawi; Eugen Hotaj; Ghassen Jerfel; Vladimir Macko; Ben Adlam; Mehryar Mohri; Corinna Cortes (CoRR, 2019)

Discrepancy-Based Theory and Algorithms for Forecasting Non-Stationary Time Series. - Vitaly Kuznetsov; Mehryar Mohri (Ann. Math. Artif. Intell., 2020)