End-to-end distributionally robust optimization
☆39Apr 15, 2023Updated 3 years ago
Alternatives and similar repositories for E2E-DRO
Users that are interested in E2E-DRO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆18Feb 7, 2021Updated 5 years ago
- ☆26Jan 8, 2024Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆33Mar 18, 2024Updated 2 years ago
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆33Apr 13, 2025Updated last year
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆39May 21, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆23Nov 27, 2024Updated last year
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆21May 16, 2024Updated 2 years ago
- ☆32Mar 13, 2024Updated 2 years ago
- ☆40Aug 16, 2021Updated 4 years ago
- A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics☆14Jul 1, 2022Updated 4 years ago
- ☆19Mar 20, 2022Updated 4 years ago
- Master Thesis: Optimal Power Flow in Power Systems using Graph Neural Networks☆22Jan 30, 2024Updated 2 years ago
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆82Mar 11, 2025Updated last year
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Jun 27, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆36Feb 12, 2021Updated 5 years ago
- X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies☆93Feb 25, 2024Updated 2 years ago
- ☆37Mar 10, 2022Updated 4 years 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 2 years ago
- This is the dataset for the paper entitled "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Pr…☆35Jul 15, 2025Updated 11 months ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 5 years ago
- Multi-task end-to-end predict-then-optimize☆14Apr 28, 2023Updated 3 years ago
- ☆10Mar 25, 2024Updated 2 years ago
- ☆20Mar 28, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.☆24May 8, 2024Updated 2 years ago
- A repository for portfolio allocation based on embedding data representation☆12Jan 27, 2025Updated last year
- 🚂💨 Deep Momentum Networks for Time Series Strategies☆135Apr 26, 2020Updated 6 years ago
- SigFormer: Signature Transformer for Deep Hedging (ICAIF 2023)☆19Oct 23, 2023Updated 2 years ago
- Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints☆37Sep 12, 2025Updated 9 months ago
- Benchmark problems for decision-focused learning☆17Jun 22, 2026Updated last week
- Reinforcement Learning framework to make synthetic experiments in the financial domain☆23Jul 18, 2023Updated 2 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆21Feb 9, 2024Updated 2 years ago
- ☆12Sep 15, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆15Nov 4, 2021Updated 4 years ago
- Implementation of "OPTIMAL MARKET MAKING BY REINFORCEMENT LEARNING"☆29Apr 5, 2021Updated 5 years ago
- The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is im…☆15Feb 15, 2022Updated 4 years ago
- ☆20Mar 6, 2024Updated 2 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆34Feb 28, 2025Updated last year
- ☆18May 14, 2026Updated last month
- Official Implementation of Stop-loss adjusted labels for machine learning-based trading of risky assets☆20Sep 29, 2023Updated 2 years ago