Sholom Schechtman

According to our database, Sholom Schechtman authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks.

Sholom Schechtman, Nicolas Schreuder

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions.

Pascal Bianchi, Walid Hachem, Sholom Schechtman

Math. Oper. Res., 2024

2023

Stochastic proximal subgradient descent oscillates in the vicinity of its accumulation set.

Sholom Schechtman

Optim. Lett., 2023

Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold.

Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach, Éric Moulines

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks.

Louis Leconte, Sholom Schechtman, Eric Moulines

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2020

Convergence of constant step stochastic gradient descent for non-smooth non-convex functions.

Pascal Bianchi, Walid Hachem, Sholom Schechtman

CoRR, 2020