The (1d) KPZ universality class contains random growth models, directed random polymers, stochastic Hamilton-Jacobi equations (e.g. the eponymous Kardar-Parisi-Zhang equation). It is characterized by unusual scale of fluctuations, some of which appeared earlier in random…
Jointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area…
Senior Researcher Nicole Immorlica and Managing Director Jennifer Chayes offer closing remarks for Microsoft Research New England 10th Anniversary Symposium.
Senior Researcher Nicole Immorlica and Deputy Managing Director Christian Borgs offer opening remarks for Microsoft Research New England 10th Anniversary Symposium.
This panel will discuss the role of long-term thinking and theory in research: how does it fit into the big picture, and when is it most useful? The panel is moderated by Robbert Dijkgraaf, who…
To mark the 10th anniversary of Microsoft Research New England, we are hosting a one-day symposium comprised of themed panels focused on mathematics and theory, economics, big data and machine learning, fairness, and social platforms.…
Stochastic approximation algorithms are used to approximate solutions to fixed point equations that involve expectations of functions with respect to possibly unknown distributions. Among many algorithms in machine learning, reinforcement learning algorithms such as TD-…
Microsoft is proud to be a sponsor of the IEEE Symposium on Foundations of Computer Science (FOCS) in Paris October 7-9, 2018.
“How can one check a routine in the sense of making sure that it is right?” asked Alan Turing in 1949, foreshadowing the science of program proving decades before it became a formally accepted field…
