On the Minimization Over Sparse Symmetric Sets: Projections, Optimality Conditions, and Algorithms. - Amir Beck; Nadav Hallak (Math. Oper. Res., 2016)

Proximal Mapping for Symmetric Penalty and Sparsity. - Amir Beck; Nadav Hallak (SIAM J. Optim., 2018)

Optimization problems involving group sparsity terms. - Amir Beck; Nadav Hallak (Math. Program., 2019)

A non-Euclidean gradient descent method with sketching for unconstrained matrix minimization. - Nadav Hallak; Marc Teboulle (Oper. Res. Lett., 2019)

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks. - Fabian Latorre; Paul Rolland; Nadav Hallak; Volkan Cevher (ICML, 2020)

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

Finding Second-Order Stationary Points in Constrained Minimization: A Feasible Direction Approach. - Nadav Hallak; Marc Teboulle (J. Optim. Theory Appl., 2020)

On the Convergence to Stationary Points of Deterministic and Randomized Feasible Descent Directions Methods. - Amir Beck; Nadav Hallak (SIAM J. Optim., 2020)

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

A Dynamic Alternating Direction of Multipliers for Nonconvex Minimization with Nonlinear Functional Equality Constraints. - Eyal Cohen; Nadav Hallak; Marc Teboulle (J. Optim. Theory Appl., 2022)

The regularized feasible directions method for nonconvex optimization. - Amir Beck; Nadav Hallak (Oper. Res. Lett., 2022)

An Adaptive Lagrangian-Based Scheme for Nonconvex Composite Optimization. - Nadav Hallak; Marc Teboulle (Math. Oper. Res., 2023)

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

A Path-Based Approach to Constrained Sparse Optimization. - Nadav Hallak (SIAM J. Optim., 2024)

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