Scott Yang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2019

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles.

[BibT_eX]

[DOI]

CoRR, 2019

Online Learning with Sleeping Experts and Feedback Graphs.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Semi-automated Annotation of Signal Events in Clinical EEG Data.

[BibT_eX]

[DOI]

Scott Yang

Silvia Lopez de Diego

Meysam Golmohammadi

Iyad Obeid

Joseph Picone

CoRR, 2018

An Analysis of Two Common Reference Points for EEGs.

[BibT_eX]

[DOI]

Silvia Lopez de Diego

CoRR, 2018

Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Online Learning with Abstention.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Competing with Automata-based Expert Sequences.

[BibT_eX]

[DOI]

Mehryar Mohri

Scott Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Online Learning with Expert Automata.

[BibT_eX]

[DOI]

Mehryar Mohri

Scott Yang

CoRR, 2017

On-line Learning with Abstention.

[BibT_eX]

[DOI]

CoRR, 2017

Online Learning with Transductive Regret.

[BibT_eX]

[DOI]

Scott Yang

Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

AdaNet: Adaptive Structural Learning of Artificial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Structured Prediction Theory and Voted Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2016

Adaptive Algorithms and Data-Dependent Guarantees for Bandit Convex Optimization.

[BibT_eX]

[DOI]

Scott Yang

Mehryar Mohri

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Optimistic Bandit Convex Optimization.

[BibT_eX]

[DOI]

Scott Yang

Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Structured Prediction Theory Based on Factor Graph Complexity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

No-Regret Algorithms for Heavy-Tailed Linear Bandits.

[BibT_eX]

[DOI]

Andres Muñoz Medina

Scott Yang

Proceedings of the 33nd International Conference on Machine Learning, 2016

Structural Online Learning.

[BibT_eX]

[DOI]

Mehryar Mohri

Scott Yang

Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

Accelerating Online Convex Optimization via Adaptive Prediction.

[BibT_eX]

[DOI]

Mehryar Mohri

Scott Yang

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Accelerating Optimization via Adaptive Prediction.

[BibT_eX]

[DOI]

Mehryar Mohri

Scott Yang

CoRR, 2015

2014

Conditional Swap Regret and Conditional Correlated Equilibrium.

[BibT_eX]

[DOI]

Mehryar Mohri

Scott Yang

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2006

First-Pass Contrast-Enhanced Myocardial Perfusion MRI Using a Maximum Up-Slope Parametric Map.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2006

Scott Yang

Bibliography

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