Probabilistic inference is a fundamental task in modern machine learning. Recent advances in tensor network (TN) contraction algorithms have enabled the development of better exact …
Bayesian inference is a probabilistic approach to the problem of drawing conclusions from observed data. Its main challenge is computational, which the Bayesian community tends to …
Probabilistic inference is a central task in intelligent systems, enabling reasoning under uncertainty across domains such as artificial intelligence, medical diagnosis, and …