殿细 Non-stationary Online Learning Distribution shift:data are usually collected in open environments species monitoring urban computing route planning winter For the online learning scenario,the distributions will evolve over time. M continuous M沙 distribution provably robust methods for non-stationary online learning Peng Zhao(Nanjing University) 9Peng Zhao (Nanjing University) 9 Non-stationary Online Learning • Distribution shift: data are usually collected in open environments species monitoring summer winter urban computing route planning • For the online learning scenario, the distributions will evolve over time. continuous distribution shift provably robust methods for non-stationary online learning