facebookresearch / LANCER
Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
☆36Updated last year
Alternatives and similar repositories for LANCER:
Users that are interested in LANCER are comparing it to the libraries listed below
- code associated with paper "Sparse Bayesian Optimization"☆26Updated last year
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆18Updated last year
- ☆22Updated 2 years ago
- Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning☆37Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆27Updated 10 months ago
- ☆23Updated last year
- ☆17Updated 8 months ago
- ☆35Updated this week
- ☆24Updated last year
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆22Updated 5 months ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆13Updated 2 years ago
- ☆28Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆51Updated 4 years ago
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆27Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- ☆11Updated last year
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 2 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆38Updated 4 months ago
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆21Updated last week
- ☆13Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆90Updated 2 months ago
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Updated last year
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆24Updated last year
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 3 years ago
- The official implementation of Convergent Graph Solvers (CGS)☆21Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the p…☆19Updated last year