Machine-learning approaches for the empirical Schrödinger bridge problem

Francisco Vargas
The Schrödinger bridge problem is concerned with finding the most likely stochastic evolution between two probability distributions given a prior/reference stochastic evolution. This problem was posed by Schrödinger (1931, 1932) and solved to a large extent. Problems of this kind, whilst not popular in the machine learning community, have direct applications such as domain adaptation, hypothesis testing, semantic similarity, and others. Thus, the focus of this thesis is to carry out a preliminary study on...
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