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Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Opt...
Recent studies on diffusion-based sampling methods have shown that Langevin Monte Carlo (LMC) algorithms can be beneficial for non-convex optimization, and rigorous theoretical... -
Rastrigin function and Griewank function
The dataset used in the paper is a non-convex optimization problem, specifically the Rastrigin function and the Griewank function. -
Stochastic Frank-Wolfe Methods for Non-Convex Optimization
The dataset used in the paper is a stochastic variant of the Frank-Wolfe method for non-convex optimization problems. -
Griewank function
The dataset used in the paper is a non-convex optimization problem, specifically the Rastrigin function and the Griewank function.
