📑 List of awesome DFL's papers
Decision-Focused Learning (DFL) for day-ahead scheduling of Underground Pumped Hydro Energy Storage (UPHES).
Code for the experiments in the paper "Decision-Focused Forecasting: Decision Losses for Multistage Optimisation".
Preliminary code for the paper "Learning Deterministic Surrogates for Robust Convex QCQPs".
A research sandbox of Decision Focused Learning for portfolio optimization.
A decision-focused uplift modeling framework that jointly optimizes CATE prediction and treatment allocation policy via a shared-layer neural network, benchmarked against S-Learner, X-Learner, UpliftRank, and GRF on CRITEO-UPLIFT v2.
Code for the experiments in the paper "OPO: Making Decision-Focused Data Acquisition Decisions".
Decision-aware traffic forecasting for backbone capacity planning. Asymmetric losses and conformal calibration to minimize operator cost rather than RMSE. Evaluated on Abilene, GÉANT, and CESNET-TimeSeries24 with 20-seed paired-bootstrap CIs.
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