Pranay Jain

My current research relates to the FCC Incentive Auction that was designed to reallocate radio spectrum from less to more valuable uses. My work focusses on creating a generative model that produces instances of auction settings using little historical data. An 'auction setting' is a set of inputs needed for describing the results of an auction beyond the auction’s rules. In the case of spectrum auctions, this can be represented in the form of a constraint graph that models the spatial distribution of bidders and possible constraints on allocations. I've developed a generative model that produces such auction settings and can be used for benchmarking and comparing auction designs empirically.