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Chhavi Yadav is a postdoctoral researcher at the ML Department in CMU. She works on different aspects of AI safety, privacy and security. She completed her PhD at UCSD, advised by Kamalika Chaudhur.
Event
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I will explain some results on secant varieties of the variety of reducible polynomials, focusing on the case of cubics. In particular, I will illustrate some upper bound on the smallest possible number of variables required to obtain set theoretic...
Workshop Talk
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Abstract not available