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Found 4 papers, 2 papers with code
Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
Computing homotopy groups of spheres has long been a fundamental objective in algebraic topology.
Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks
In this work, we test the performance of various optimizers on deep learning models for source code and find that the choice of an optimizer can have a significant impact on the model quality, with up to two-fold score differences between some of the relatively well-performing optimizers.
On the Computational Efficiency of Catalyst Accelerated Coordinate Descent
This article is devoted to one particular case of using universal accelerated proximal envelopes to obtain computationally efficient accelerated versions of methods used to solve various optimization problem setups.
Optimization and Control 90C25 (Primary), 65K05 (Secondary) G.1.6
Adaptive Catalyst for Smooth Convex Optimization
In this paper, we present a generic framework that allows accelerating almost arbitrary non-accelerated deterministic and randomized algorithms for smooth convex optimization problems.
Optimization and Control
