While the auctioneer takes as given the auction rule of the click-through auction, namely the generalized second-price auction, the auctioneer can design the information flow regarding the click-through rates among the bidders.
Recent theoretical analysis suggests that ultra-wide neural networks always converge to global minima near the initialization under first order methods.
Some of the previous results in the case of continuous value distributions do not apply to the case of discrete value distributions.
Computer Science and Game Theory
Generative neural networks map a standard, possibly distribution to a complex high-dimensional distribution, which represents the real world data set.
To this end, we use a so-called "ironing" technique to convert the problem into an equivalent convex optimization one via a clean Markov decision process (MDP) formulation, where the states are the driver distributions and the decision variables are the prices for each pair of locations.