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cs.LG2024
DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning
Klea Ziu, Slavomír Hanzely, Loka Li +3
Learning the structure of Directed Acyclic Graphs (DAGs) presents a significant challenge due to the vast combinatorial search space of possible graphs, which scales exponentially…
math.OC2024
Newton Method Revisited: Global Convergence Rates up to for Stepsize Schedules and Linesearch Procedures
Slavomír Hanzely, Farshed Abdukhakimov, Martin Takáč
This paper investigates the global convergence of stepsized Newton methods for convex functions with Hölder continuous Hessians or third derivatives. We propose several simple step…