Foundations and Trends in Machine Learning

主题词：Reinforcement Learning in Robotics; Gaussian Processes and Bayesian Inference; Neural Networks and Applications; Machine Learning and Algorithms; Bayesian Methods and Mixture Models; Advanced Graph Neural Networks; Sparse and Compressive Sensing Techniques; Advanced Bandit Algorithms Research; Machine Learning and Data Classification; Complex Network Analysis Techniques; Stochastic Gradient Optimization Techniques; Optimization and Search Problems; Tensor decomposition and applications; Face and Expression Recognition; Statistical Methods and Inference; Complexity and Algorithms in Graphs; Matrix Theory and Algorithms; Bayesian Modeling and Causal Inference; Blind Source Separation Techniques; Anomaly Detection Techniques and Applications; Random Matrices and Applications; Statistical Methods and Bayesian Inference; Data Mining Algorithms and Applications; Smart Grid Energy Management; Generative Adversarial Networks and Image Synthesis