Speaker
Boris Bukh (OpenAI and Carnegie Mellon University)
Date
Thu, May 14 2026, 3:00pm
Location
384H
Random walks on graphs can mix slowly. To speed it up, imagine that at each step instead of choosing the neighbor at random, there is a small probability eps>0 that we can choose it. We show that in this case, at least for graphs of bounded degree, there is a way to steer the walk so that we visit every vertex in n^{1+o(1)} many steps. The key to this result is a way to decompose arbitrary graphs into small-diameter pieces. Joint work with Quentin Dubroff.