End-to-End Learning for Optimization via Constraint-Enforcing Approximators. - Rares Cristian; Pavithra Harsha; Georgia Perakis; Brian Leo Quanz; Ioannis Spantidakis (AAAI, 2023)

The role of optimization in some recent advances in data-driven decision-making. - Lennart Baardman; Rares Cristian; Georgia Perakis; Divya Singhvi; Omar Skali Lami; Leann Thayaparan (Math. Program., 2023)

A Discretization Framework for Robust Contextual Stochastic Optimization. - Rares Cristian; Georgia Perakis (ICLR, 2024)

Inter-Series Transformer: Attending to Products in Time Series Forecasting. - Rares Cristian; Pavithra Harsha; Clemente Ocejo; Georgia Perakis; Brian Quanz; Ioannis Spantidakis; Hamza Zerhouni (CoRR, 2024)

CoRe: Coherency Regularization for Hierarchical Time Series. - Rares Cristian; Pavithra Harhsa; Georgia Perakis; Brian Quanz (CoRR, 2025)

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach. - Rares Cristian; Pavithra Harsha; Georgia Perakis; Brian Quanz (CoRR, 2025)

Aligning Learning and Endogenous Decision-Making. - Rares Cristian; Pavithra Harsha; Georgia Perakis; Brian Quanz (CoRR, 2025)