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Dive into the research topics where Sholom Schechtman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks
Schechtman, S. & Schreuder, N., 1 Jan 2025, In: Proceedings of Machine Learning Research. 291Research output: Contribution to journal › Conference article › peer-review
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Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions
Bianchi, P., Hachem, W. & Schechtman, S., 1 Aug 2024, In: Mathematics of Operations Research. 49, 3, p. 1761-1790 30 p.Research output: Contribution to journal › Article › peer-review
Open Access -
ASkewSGD: An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Leconte, L., Schechtman, S. & Moulines, E., 1 Jan 2023, In: Proceedings of Machine Learning Research. 206, p. 3644-3663 20 p.Research output: Contribution to journal › Conference article › peer-review
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Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
Schechtman, S., Tiapkin, D., Muehlebach, M. & Moulines, É., 1 Jan 2023, In: Proceedings of Machine Learning Research. 195, p. 1228-1258 31 p.Research output: Contribution to journal › Conference article › peer-review
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Stochastic proximal subgradient descent oscillates in the vicinity of its accumulation set
Schechtman, S., 1 Jan 2023, In: Optimization Letters. 17, 1, p. 177-190 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Convergence of Constant Step Stochastic Gradient Descent for Non-Smooth Non-Convex Functions
Bianchi, P., Hachem, W. & Schechtman, S., 1 Sept 2022, In: Set-Valued and Variational Analysis. 30, 3, p. 1117-1147 31 p.Research output: Contribution to journal › Article › peer-review
Open Access -
First-Order Constrained Optimization: Non-smooth Dynamical System Viewpoint
Schechtman, S., Tiapkin, D., Moulines, E., Jordan, M. I. & Muehlebach, M., 1 Jul 2022, In: IFAC-PapersOnLine. 55, 16, p. 236-241 6 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Stochastic optimization with momentum: Convergence, fluctuations, and traps avoidance
Barakat, A., Bianchi, P., Hachem, W. & Schechtman, S., 1 Jan 2021, In: Electronic Journal of Statistics. 15, 2, p. 3892-3947 56 p.Research output: Contribution to journal › Article › peer-review
Open Access