DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting

no code implementations • 5 Jan 2023 • Ozan Ozyegen, Juyoung Wang, Mucahit Cevik

Despite the high performance of neural network-based time series forecasting methods, the inherent challenge in explaining their predictions has limited their applicability in certain application areas.

Probabilistic Time Series Forecasting Time Series

A Deep Reinforcement Learning Framework For Column Generation

no code implementations • 3 Jun 2022 • Cheng Chi, Amine Mohamed Aboussalah, Elias B. Khalil, Juyoung Wang, Zoha Sherkat-Masoumi

Column Generation (CG) is an iterative algorithm for solving linear programs (LPs) with an extremely large number of variables (columns).

Decision Making reinforcement-learning +1