Scott Yak

According to our database, Scott Yak authored at least 4 papers between 2019 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning.

Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur

CoRR, 2020

Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning.

Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

Towards Task and Architecture-Independent Generalization Gap Predictors.

Scott Yak, Javier Gonzalvo, Hanna Mazzawi

CoRR, 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