CAREER: Analysis of Slowly Mixing Markov Chains
Description preview
Markov chains are an important family of stochastic processes used in many scientific fields, including sampling and optimization algorithms and physical modeling of thermodynamics. In recent decades, their mathematical study has been oriented around the time to converge to an equilibrium state from a worst-case initialization, known as the mixing…
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