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Year	Author(s)	Title
2018	Yuanzhi Li, Yingyu Liang	Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
2019	Greg Ongie, Rebecca Willett, Daniel Soudry, and Nathan Srebro	A function space view of bounded norm infinite width relu nets: The multivariate case
2019	Z. Charles, H. Rosenberg, D. Papailiopoulos	A Geometric Perspective on the Transferability of Adversarial Directions
2019	Sylvain Arlot, Alain Celisse, Zaid Harchaoui	A Kernel Multiple Change-point Algorithm via Model Selection
2019	Alexander Greaves-Tunnell, Zaid Harchaoui	A Statistical Investigation of Long Memory in Language and Music
2019	Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, and Cho-Jui Hsieh	A unified framework for data poisoning attack to graph-based semi-supervised learning
2019	Vincent Roulet, Zaid Harchaoui	An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks
2019	Hongzhou Lin, Julien Mairal, Zaid Harchaoui	An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration
2019	Xie, Y. and Wright, S. J.	Complexity of proximal augmented Lagrangian for nonconvex optimization with nonlinear equality constraints
2019	Z Charles, S Rajput, S Wright, D Papailiopoulos	Convergence and Margin of Adversarial Training on Separable Data

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