guaguakai / surrogate-optimization-learningLinks
☆18Updated 5 years ago
Alternatives and similar repositories for surrogate-optimization-learning
Users that are interested in surrogate-optimization-learning are comparing it to the libraries listed below
Sorting:
- TaskMet Task-driven Metric Learning for Model Learning☆20Updated 2 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 6 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆35Updated 5 years ago
- ☆26Updated 2 years ago
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆11Updated last year
- PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning☆17Updated 4 years ago
- ☆15Updated 4 years ago
- code for "Neural Jump Ordinary Differential Equations"☆30Updated 2 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018☆81Updated 6 years ago
- A general framework for learning spatio-temporal point processes via reinforcement learning☆30Updated 5 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆32Updated last year
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆20Updated 2 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 3 years ago
- A Spatio-temporal point process simulator.☆48Updated 2 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆64Updated 3 years ago
- Bayesian Optimization of Risk Measures☆21Updated 2 years ago
- End-to-end distributionally robust optimization☆37Updated 2 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Updated 2 years ago
- Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits☆10Updated last year
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Updated 3 years ago
- Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"☆13Updated 4 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆38Updated 2 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…☆11Updated 2 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆87Updated last year
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆21Updated last year
- A short course on temporal point process and modeling irregular time series☆21Updated 5 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 7 years ago