A multi-stage stochastic optimization model of a pastoral dairy farm. - Oscar Dowson; Andy Philpott; Andrew J. Mason; Anthony Downward (Eur. J. Oper. Res., 2019)

The policy graph decomposition of multistage stochastic programming problems. - Oscar Dowson (Networks, 2020)

Stochastic dual dynamic programming with stagewise-dependent objective uncertainty. - Anthony Downward; Oscar Dowson; Regan Baucke (Oper. Res. Lett., 2020)

Partially observable multistage stochastic programming. - Oscar Dowson; David P. Morton; Bernardo K. Pagnoncelli (Oper. Res. Lett., 2020)

Assessing the Cost of Network Simplifications in Long-Term Hydrothermal Dispatch Planning Models. - Andrew W. Rosemberg; Alexandre Street; Joaquim Dias Garcia; Davi Michel Valladão; Thuener Silva; Oscar Dowson (CoRR, 2021)

SDDP.jl: A Julia Package for Stochastic Dual Dynamic Programming. - Oscar Dowson; Lea Kapelevich (INFORMS J. Comput., 2021)

JuMP 1.0. - Miles Lubin; Oscar Dowson; Joaquim Dias Garcia; Joey Huchette; Benoît Legat; Juan Pablo Vielma (CoRR, 2022)

MathOptInterface: A Data Structure for Mathematical Optimization Problems. - Benoît Legat; Oscar Dowson; Joaquim Dias Garcia; Miles Lubin (INFORMS J. Comput., 2022)

Bi-objective multistage stochastic linear programming. - Oscar Dowson; David P. Morton; Anthony Downward (Math. Program., 2022)

JuMP 1.0: recent improvements to a modeling language for mathematical optimization. - Miles Lubin; Oscar Dowson; Joaquim Dias Garcia; Joey Huchette; Benoît Legat; Juan Pablo Vielma (Math. Program. Comput., 2023)

An SDDP Algorithm for Multistage Stochastic Programs with Decision-Dependent Uncertainty. - Nazlican Arslan; Oscar Dowson; David P. Morton (WSC, 2024)

Formulations and scalability of neural network surrogates in nonlinear optimization problems. - Robert B. Parker; Oscar Dowson; Nicole LoGiudice; Manuel Garcia; Russell Bent (CoRR, 2024)

Capacity planning of renewable energy systems using stochastic dual dynamic programming. - J. Hole; Andrew B. Philpott; Oscar Dowson (Eur. J. Oper. Res., 2025)

Incorporating convex risk measures into multistage stochastic programming algorithms. - Oscar Dowson; David P. Morton; Bernardo K. Pagnoncelli (Ann. Oper. Res., 2025)

MathOptAI.jl: Embed trained machine learning predictors into JuMP models. - Oscar Dowson; Robert B. Parker; Russell Bent (CoRR, 2025)