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We establish convergence guarantees for a recently proposed Markov Chain Monte Carlo (MCMC) method to locate source(s) of a certain concentration field.
Abstract— We establish convergence guarantees for a recently proposed Markov Chain Monte Carlo (MCMC) method to locate source(s) of a certain concentration ...
Jan 12, 2024 · In this work, we extend Chatterjee's convergence result to SGD for non-convex objective functions with minimal additional assumptions applicable ...
Nov 18, 2023 · In this paper, we establish convergence guarantees for a general class of SGMs in 2-Wasserstein distance, assuming accurate score estimates and smooth log- ...
Jan 27, 2023 · This is a handbook of simple proofs of the convergence of gradient and stochastic gradient descent type methods. We consider functions that ...
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Oct 22, 2024 · We establish convergence guarantees for a recently proposed Markov Chain Monte Carlo (MCMC) method to locate source(s) of a certain ...
present section by providing convergence guarantees for a natural ... Linear convergence bounds for diffusion models via stochastic localization.
Dec 16, 2010 · This paper presents some simple technical conditions that guarantee the convergence of a general class of adaptive stochastic global optimization algorithms.
Jan 19, 2022 · In this section, we propose simulation-optimization algorithms that are guaranteed to find solu- tions that satisfy the PGS guarantee, provided ...
firm experimentally the convergence guarantees for a convex. (obstacle-free) workspace. Starting 21.85 meters away and running the algorithm for only 30 ...