ML Anthology

Yang, Scott

13 publications

ICML 2019 Online Learning with Sleeping Experts and Feedback Graphs Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
AISTATS 2018 Competing with Automata-Based Expert Sequences Mehryar Mohri, Scott Yang
NeurIPS 2018 Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Dmitry Storcheus, Scott Yang
ICML 2018 Online Learning with Abstention Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
ICML 2017 AdaNet: Adaptive Structural Learning of Artificial Neural Networks Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
NeurIPS 2017 Online Learning with Transductive Regret Mehryar Mohri, Scott Yang
AISTATS 2016 Accelerating Online Convex Optimization via Adaptive Prediction Mehryar Mohri, Scott Yang
UAI 2016 Adaptive Algorithms and Data-Dependent Guarantees for Bandit Convex Optimization Scott Yang, Mehryar Mohri
ICML 2016 No-Regret Algorithms for Heavy-Tailed Linear Bandits Andres Munoz Medina, Scott Yang
NeurIPS 2016 Optimistic Bandit Convex Optimization Scott Yang, Mehryar Mohri
ALT 2016 Structural Online Learning Mehryar Mohri, Scott Yang
NeurIPS 2016 Structured Prediction Theory Based on Factor Graph Complexity Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
NeurIPS 2014 Conditional Swap Regret and Conditional Correlated Equilibrium Mehryar Mohri, Scott Yang