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August 2017

STOR Colloquium: Ion Necoara

August 28 @ 3:30 pm - 4:30 pm

Title - Conditions for linear convergence of (stochastic) first order methods Abstract - For convex optimization problems deterministic first order methods have linear convergence when the objective function is smooth and strongly convex. Moreover, under the same conditions - smoothness and strong convexity -  sublinear convergence rates have been derived for stochastic first order methods. However, in many applications (machine learning, statistics, control, signal processing)   the strong convexity condition  does not hold, but the objective function still has a special…

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October 2017

STOR Colloquium: Sercan Yildiz

October 2 @ 3:30 pm - 4:30 pm

STOR Colloquium: Patrick Wolfe, Purdue

October 9 @ 3:30 pm - 4:30 pm

STOR Colloquium: Srinagesh Gavirneni, Cornell

October 16 @ 3:30 pm - 4:30 pm

STOR Colloquium: Jonathan Taylor, Stanford

October 23 @ 3:30 pm - 4:30 pm
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