Hallak, Nadav

6 publications

ICLR 2025 A Stochastic Approach to the Subset Selection Problem via Mirror Descent Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat, Yaroslav Fyodorov, Ran Moshe, Fiana Raiber, Alex Shtoff, Oren Somekh, Nadav Hallak

ICML 2024 A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle Nadav Hallak, Kfir Yehuda Levy

ICMLW 2023 1-Path-Norm Regularization of Deep Neural Networks Fabian Latorre, Antoine Bonnet, Paul Rolland, Nadav Hallak, Volkan Cevher

ICML 2021 Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher

ICML 2020 Efficient Proximal Mapping of the 1-Path-Norm of Shallow Networks Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher

NeurIPS 2020 On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher