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This talk sketches a program extending the concepts of “dominance” and “admissibility” from statistical decision theory to machine learning. I will do so by presenting two instance-wise risk comparison results in linear regression (with Gaussian design)...
No abstract available.
For decades, the use of quantum computers to break cryptography seemed to be an important, but distant, threat. But with recent dramatic innovations along the full quantum stack, such attacks may imminently become practical---and indeed may prove to be the...
Simo A. Mäkiharju is an Associate Professor at UC Berkeley. Prof. Mäkiharju’s undergraduate studies were in Energy Technology at the Lappeenranta University of Technology, Finland. In 2005 he received his Mechanical Engineering M.Sc. from the Ohio State...
Chirag Wadhwa is a PhD student at the University of Edinburgh. His research interests are in quantum learning theory and property testing.
Andrew is currently a staff scientist at Sandia National Laboratories, where he is a member of the Quantum Algorithms and Applications Collaboratory (QuAAC). Previously, he was a Gil Herrera Postdoctoral Fellow at Sandia, after obtaining his PhD in Physics...