(1/n) This week we have
@fredsala
on the Stanford MLSys Seminar, live on Thursday at 1:30 PM! Fred was a postdoc at
@StanfordAILab
, and is now a professor at
@WisconsinCS
and a research scientist at
@SnorkelAI
-- so he knows a thing or two about MLSys.
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(2/n) Fred's talk will be about efficiently constructing datasets for diverse datatypes. He'll cover a new technique for fusing weak supervision with structured prediction. This allows labels that can be continuous, "manifold-valued," sequences, graphs, and more!
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(3/n) As always, Fred's work is a healthy mix of theory and experiments. He'll discuss theoretical guarantees that draw connections to embeddings of metric spaces, and show experimental results in problems ranging from ranking to geodesic regression.
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(4/n, n=4) Super stoked for this talk on Thursday -- tune in live on YouTube at 1:30 PM PST!
#MachineLearning
#ArtificialIntelligence
#Stanford
#MLSys
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