Abstract: This paper considers the distributed online optimization (DOO) problem over time-varying unbalanced networks, where gradient information is explicitly unknown. To address this issue, a ...
Abstract: This paper investigates the use of Probabilistic Principal Component Analysis (PPCA) in enhancing algorithmic trading strategies, particularly for latent feature extraction in Mean Reversion ...