aoiang / LaMOO
☆29Updated 2 years ago
Alternatives and similar repositories for LaMOO:
Users that are interested in LaMOO are comparing it to the libraries listed below
- High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm☆27Updated 2 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Encodings for neural architecture search☆29Updated 4 years ago
- Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.☆21Updated 3 years ago
- ☆24Updated last year
- An adaptive training algorithm for residual network☆15Updated 4 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated last year
- code associated with paper "Sparse Bayesian Optimization"☆26Updated last year
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- ☆50Updated 8 months ago
- ☆22Updated 3 years ago
- a curated list of bayesian optimization tutorials, papers, softwares☆30Updated 3 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago
- Hessian trace estimation using PyTorch and Hutch++☆19Updated 4 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Updated 2 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated last year
- Neuroevolution Benchmark in JAX 🦕☆38Updated last year
- ☆29Updated 3 years ago
- ☆13Updated 2 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 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 2 years ago
- Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning☆39Updated last year
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 6 years ago
- Spartan is an algorithm for training sparse neural network models. This repository accompanies the paper "Spartan Differentiable Sparsity…☆24Updated 2 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 2 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆48Updated 2 years ago
- Official repository for the paper "Zero-Shot AutoML with Pretrained Models"☆45Updated last year