Riedl, K., Klock, T., Geldhauser, C., & Fornasier, M. (2024). How consensus-based optimization can be interpreted as a stochastic relaxation of gradient descent. OpenReview.
Chicago Style (17th ed.) CitationRiedl, K., T. Klock, C. Geldhauser, and M. Fornasier. How Consensus-based Optimization Can Be Interpreted as a Stochastic Relaxation of Gradient Descent. OpenReview, 2024.
MLA引文Riedl, K., et al. How Consensus-based Optimization Can Be Interpreted as a Stochastic Relaxation of Gradient Descent. OpenReview, 2024.
警告:這些引文格式不一定是100%准確.