facebookresearch / LANCERLinks
Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
☆38Updated 2 years ago
Alternatives and similar repositories for LANCER
Users that are interested in LANCER are comparing it to the libraries listed below
Sorting:
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆31Updated last year
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆19Updated 2 years ago
- ☆26Updated last year
- code associated with paper "Sparse Bayesian Optimization"☆26Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆29Updated 3 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆20Updated last year
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- code for paper "Large Language Models as End-to-end Combinatorial Optimization Solvers"☆41Updated last month
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- ☆22Updated 3 years ago
- Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning☆45Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- ☆61Updated 2 months ago
- ☆13Updated 3 years ago
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆43Updated 2 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 8 months ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated last year
- ☆16Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- ☆29Updated 3 years ago
- ☆26Updated last year
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- [TPAMI 2023] Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. Paper Link: https://arxiv.org/abs/2209.08907☆15Updated last year
- Neural Architecture Search + Cascades | Best Paper @ GECCO 2022☆15Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆25Updated 3 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- Official code for the paper: Invertible Neural Network for Graph Prediction☆10Updated 2 years ago