Subhash Khot, Guy Kindler, Elchanan Mossel, and Ryan O’Donnell:
Optimal Inapproximability Results for MAX-CUT and Other 2-Variable CSPs?
Daniele Micciancio and Oded Regev:
Worst-Case to Average-Case Reductions Based on Gaussian Measures
This paper introduced the notion of “smoothing parameter” in the study of lattice problems, and substantially improved the worst-case to average-case connection factors in a number of problems such as the shortest vector problem, a research direction pioneered by Ajtai.