TheoGuyard / El0psLinks
El0ps: An Exact L0-Problem Solver
☆12Updated 2 months ago
Alternatives and similar repositories for El0ps
Users that are interested in El0ps are comparing it to the libraries listed below
Sorting:
- A package for tree-based statistical estimation and inference using optimal decision trees.☆41Updated last year
- OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆21Updated last year
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 2 years ago
- ☆13Updated 6 months ago
- Making your benchmark of optimization algorithms simple and open☆267Updated 3 weeks ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆88Updated last week
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression☆13Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆55Updated last year
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆57Updated 4 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
- ☆50Updated last year
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Proximal optimization in pure python☆118Updated 3 years ago
- Code for "Explainable Data-Driven Optimization" (ICML 2023)☆14Updated 2 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆123Updated 8 months ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Solves the best subset selection problem☆45Updated 3 years ago
- Differentiation through cone programs☆103Updated 3 weeks ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 2 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago