A weak convergence approach to large deviations for stochastic approximations

Henrik Hult, Adam Lindhe, Pierre Nyquist +1

The theory of stochastic approximations form the theoretical foundation for studying convergence properties of many popular recursive learning algorithms in statistics, machine lea…