stellatogrp / mro_experimentsView external linksLinks
☆30Mar 17, 2025Updated 10 months ago
Alternatives and similar repositories for mro_experiments
Users that are interested in mro_experiments are comparing it to the libraries listed below
Sorting:
- ☆40Aug 16, 2021Updated 4 years ago
- ☆15Nov 4, 2021Updated 4 years ago
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆13Aug 13, 2022Updated 3 years ago
- Convert CVXPY expressions to PyTorch expressions☆19Jul 8, 2025Updated 7 months ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Feb 14, 2023Updated 3 years ago
- ☆14Jun 8, 2023Updated 2 years ago
- ☆12Sep 15, 2021Updated 4 years ago
- ☆26Dec 14, 2023Updated 2 years ago
- Convex Optimization under Uncertainty☆29Updated this week
- Code for "Explainable Data-Driven Optimization" (ICML 2023)☆14Jul 21, 2023Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆32Mar 18, 2024Updated last year
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Apr 28, 2022Updated 3 years ago
- Real-time security-constrained economic dispatch (i.e. optimal power flow). This set of codes aims to provide a benchmark that mimics the…☆22Apr 3, 2023Updated 2 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆20Feb 9, 2024Updated 2 years ago
- ☆15Jan 21, 2026Updated 3 weeks ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆38Jul 20, 2023Updated 2 years ago
- Visualize linear programming at https://lpviz.net☆31Jan 20, 2026Updated 3 weeks ago
- Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in ele…☆11May 22, 2024Updated last year
- Robust Bond Portfolio Construction via Convex-Concave Saddle Point Optimization☆14May 13, 2024Updated last year
- Code for the paper "Deep FTRL-ORW: An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Ga…☆11Dec 1, 2022Updated 3 years ago
- Code for the paper: Kernel Distributionally Robust Optimization☆13Feb 21, 2021Updated 4 years ago
- Codes for the paper "Residuals-based Distributionally Robust Optimization with Covariate Information"☆10Aug 13, 2022Updated 3 years ago
- Cone program refinement☆10Mar 6, 2020Updated 5 years ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Nov 18, 2022Updated 3 years ago
- Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz☆27Jun 7, 2021Updated 4 years ago
- ☆17May 14, 2024Updated last year
- Neur2SP: Neural Two-Stage Stochastic Programming☆53Mar 8, 2023Updated 2 years ago
- the codes and some preliminary progress in the work of robust stochastic portfolio optimization☆11Oct 15, 2020Updated 5 years ago
- ☆13Aug 29, 2022Updated 3 years ago
- EV Profiles for sharing with DNSPs or any other interested party.☆14May 5, 2022Updated 3 years ago
- Scalable Convex Neural Networks☆25Apr 30, 2025Updated 9 months ago
- ☆16Jan 26, 2023Updated 3 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Nov 7, 2019Updated 6 years ago
- A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning☆27Feb 4, 2022Updated 4 years ago
- A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse☆34Aug 25, 2022Updated 3 years ago
- GBRL-based Actor-Critic algorithms implemented in stable-baselines3☆43Jan 31, 2026Updated 2 weeks ago
- This set of codes implements our NAPS paper "Reduced Optimal Power Flow Using Graph Neural Network". This work is under the open license:…☆14Feb 23, 2024Updated last year
- Microgrid/distribution network level energy market managed by an RL agent☆13Feb 19, 2021Updated 4 years ago
- ☆13Dec 8, 2025Updated 2 months ago