TY - CONF AB - We study the almost-sure termination problem for probabilistic programs. First, we show that supermartingales with lower bounds on conditional absolute difference provide a sound approach for the almost-sure termination problem. Moreover, using this approach we can obtain explicit optimal bounds on tail probabilities of non-termination within a given number of steps. Second, we present a new approach based on Central Limit Theorem for the almost-sure termination problem, and show that this approach can establish almost-sure termination of programs which none of the existing approaches can handle. Finally, we discuss algorithmic approaches for the two above methods that lead to automated analysis techniques for almost-sure termination of probabilistic programs. AU - Huang, Mingzhang AU - Fu, Hongfei AU - Chatterjee, Krishnendu ED - Ryu, Sukyoung ID - 5679 SN - 03029743 TI - New approaches for almost-sure termination of probabilistic programs VL - 11275 ER -