SCS Student Seminar / Computer Science Speaking Skills Talk

Friday, December 4, 2015 - 12:00pm to 1:00pm


McWilliams Classroom 4303 Gates & Hillman Centers


SHIVA KAUL, Ph.D. Student

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deb @

Linear classifiers are convenient to train, but cannot cope with noisy or complex data. Nonlinear kernel classifiers are powerful, but are prone to overfitting and are cumbersome to train. A new kind of classifier addresses the limitations of both of its forebears, as evidenced by its surprising statistical and algebraic properties. Our classifier underlies a new learning algorithm of notable practical and theoretical interest.
Joint work with Geoff Gordon.
Presented in Partial Fulfillment of the CSD Speaking Skills Requirement.
Speaker Skills Poster


Speaking Skills