Learning Stationary Markov Processes with Contrastive Adjustment

Ludvig Bergenstråhle, Jens Lagergren, Joakim Lundeberg

We introduce a new optimization algorithm, termed contrastive adjustment, for learning Markov transition kernels whose stationary distribution matches the data distribution. Contra…