Reinventing Sponsored Search Auctions
Data Skeptic17 Mars 2017

Reinventing Sponsored Search Auctions

In this Data Skeptic episode, Kyle is joined by guest Ruggiero Cavallo to discuss his latest efforts to mitigate the problems presented in this new world of online advertising. Working with his collaborators, Ruggiero reconsiders the search ad allocation and pricing problems from the ground up and redesigns a search ad selling system. He discusses a mechanism that optimizes an entire page of ads globally based on efficiency-maximizing search allocation and a novel technical approach to computing prices.

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Avsnitt(601)

Streetlight Outage and Crime Rate Analysis with Zach Seeskin

Streetlight Outage and Crime Rate Analysis with Zach Seeskin

This episode features a discussion with statistics PhD student Zach Seeskin about a project he was involved in as part of the Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship.  Th...

18 Juli 201433min

[MINI] Experimental Design

[MINI] Experimental Design

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11 Juli 201415min

The Right (big data) Tool for the Job with Jay Shankar

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In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar.  The episode explores approaches and design philosophy to solving real world big data busin...

7 Juli 201449min

[MINI] Bayesian Updating

[MINI] Bayesian Updating

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27 Juni 201411min

Personalized Medicine with Niki Athanasiadou

Personalized Medicine with Niki Athanasiadou

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20 Juni 201457min

[MINI] p-values

[MINI] p-values

In this mini, we discuss p-values and their use in hypothesis testing, in the context of an hypothetical experiment on plant flowering, and end with a reference to the Particle Fever documentary and h...

13 Juni 201416min

Advertising Attribution with Nathan Janos

Advertising Attribution with Nathan Janos

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6 Juni 20141h 16min

[MINI] type i / type ii errors

[MINI] type i / type ii errors

In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives).

30 Maj 201411min

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