In online advertising, regret minimization is used to optimize ad placement and bidding strategies to improve performance over time. Here are some specific applications:
1. **Bid Optimization**: Advertisers use regret minimization to adjust their bids dynamically across different websites or platforms. By minimizing regret, they can ensure that thei... See more
💫Today we launch the Segregation Explorer!💫
Visualize and download school segregation data for every state, county, metro area, commuting zone, geo school district, and local educational agency in the US since 1991.
https://t.co/pZ2FOVqDyZ... See more
A great new dataset on R&D's impact on state economies was released today:
New Mexico gets the highest share of its state GDP from R&D thanks to the Los Alamos & Sandia National Laboratories, but California makes up the highest share of national R&D output at 30%! https://t.co/Ca6uMary1u
3. If you want good cheap infrastructure, build up state capacity
America has a big problem building infrastructure. Our roads and trains cost much more per mile than other rich countries. There are a number of reasons why this is the case, including land-use regulation, NIMBYism, and broken government contracting processes. But one reason is simpl... See more
Predictive algorithms are everywhere these days, as are concerns that they embed & perpetuate discrimination
In a new (short!) working paper with David Arnold & Will Dobbie, we develop + apply new quasi-experimental tools to address these concerns!
https://t.co/4pZ0BI4K81... See more