SCOTT YANG
Bio
I completed my PhD in mathematics at the Courant Institute of Mathematical Sciences.

From 2015 to 2017, I co-organized the NYU Machine Learning Seminar.

In 2013 and 2014, I co-directed Courant Splash, a STEM outreach event for high-school students organized by the Courant Institute.

Publications
  1. Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri and Scott Yang.
    Online Learning with Abstensions.
    In Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Stockholm, Sweden. July 2018.
  2. Mehryar Mohri and Scott Yang.
    Competing with Automata-based Expert Sequences. (oral presentation).
    In 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018). Lanzarote, Spain, April 2018.
  3. Mehryar Mohri and Scott Yang.
    Online Learning with Transductive Regret. (spotlight presentation).
    In Advances in Neural Information Processing Systems (NIPS 2017). Long Beach, California. December 2017.
  4. Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri and Scott Yang.
    AdaNet: Adaptive Structural Learning of Artificial Neural Networks.
    In Proceedings of the 34th International Conference on Machine Learning (ICML 2017). Sydney, Australia. August 2017.
  5. Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri and Scott Yang.
    Structured Prediction Theory Based on Factor Graph Complexity.
    In Advances in Neural Information Processing Systems (NIPS 2016). Barcelona, Spain. December 2016.
  6. Mehryar Mohri and Scott Yang.
    Optimistic Bandit Convex Optimization.
    In Advances in Neural Information Processing Systems (NIPS 2016). Barcelona, Spain. December 2016.
  7. Mehryar Mohri and Scott Yang.
    Structural Online Learning.
    In Proceedings of the 27th International Conference on Algorithmic Learning Theory (ALT 2016). Bari, Italy. October 2016.
  8. Mehryar Mohri and Scott Yang.
    Adaptive Algorithms and Data-dependent Guarantees for Bandit Convex Optimization.
    In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2016) . Jersey City, New Jersey. June 2016.
  9. Andrez Munoz Medina and Scott Yang.
    No-Regret Algorithms for Heavy-Tailed Linear Bandits.
    In Proceedings of the 33rd International Conference on Machine Learning (ICML 2016). New York, New York. June 2016.
  10. Mehryar Mohri and Scott Yang.
    Accelerating Optimization via Adaptive Prediction.
    In 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016). Cádiz, Spain, May 2016.
  11. Mehryar Mohri and Scott Yang.
    Conditional Swap Regret and Conditional Correlated Equilibrium.
    In Advances in Neural Information Processing Systems (NIPS 2014). Montreal, Canada. December 2014.
Workshops, symposia, and other presentations Service and other activities Teaching Contact