Michael R. Metel

According to our database, Michael R. Metel authored at least 11 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint.

Michael R. Metel

J. Mach. Learn. Res., 2023

Mathematical Challenges in Deep Learning.

Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen

CoRR, 2023

2022

Perturbed Iterate SGD for Lipschitz Continuous Loss Functions.

Michael R. Metel, Akiko Takeda

J. Optim. Theory Appl., 2022

Charging station optimization for balanced electric car sharing.

Antoine Deza, Kai Huang, Michael R. Metel

Discret. Appl. Math., 2022

Variants of SGD for Lipschitz Continuous Loss Functions in Low-Precision Environments.

Michael R. Metel

CoRR, 2022

2021

Primal-dual subgradient method for constrained convex optimization problems.

Michael R. Metel, Akiko Takeda

Optim. Lett., 2021

Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization.

Michael R. Metel, Akiko Takeda

J. Mach. Learn. Res., 2021

2019

Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization.

Michael R. Metel, Akiko Takeda

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

2018

Managing losses in exotic horse race wagering.

Antoine Deza, Kai Huang, Michael R. Metel

J. Oper. Res. Soc., 2018

Kelly Betting on Horse Races with Uncertainty in Probability Estimates.

Michael R. Metel

Decis. Anal., 2018

2014

Chance Constrained Optimization for Targeted Internet Advertising.

Antoine Deza, Kai Huang, Michael R. Metel

CoRR, 2014