ZebinYang / SeqUDLinks
Sequential Uniform Design for Hyperparameter Optimization
☆13Updated 2 years ago
Alternatives and similar repositories for SeqUD
Users that are interested in SeqUD are comparing it to the libraries listed below
Sorting:
- Enhanced Explainable Neural Network☆10Updated 3 years ago
- Approximate Computation via Odds Ratio Estimation in Likelihood Free Inference☆8Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 5 years ago
- A comparison of some conformal quantile regression methods.☆14Updated 5 years ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆12Updated 3 years ago
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆11Updated 3 months ago
- Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …☆12Updated 3 years ago
- Code for the experiments in the paper: Bailey Flanigan, Paul Gölz, Anupam Gupta, Brett Hennig, Ariel D. Procaccia. Fair Algorithms for Se…☆11Updated 4 years ago
- ☆10Updated 3 years ago
- ☆9Updated 4 years ago
- Efficient and readable change point detection package implemented in Python. (Singular Spectrum Transformation - SST, IKA-SST, ulSIF, RuL…☆23Updated last week
- Duke Natural Language Processing Winter School 2020☆21Updated 5 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆9Updated 4 years ago
- This Python package implements algorithms for multiviews (multimodals) learning☆14Updated 9 months ago
- Code for "Particle algorithms for maximum likelihood training of latent variable models" (Kuntz, Lim, Johansen, AISTATS, 2023).☆9Updated 2 years ago
- Adaptive and Robust Multi-Task Learning☆10Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Online Convex Optimization algorithms in Python☆12Updated 3 years ago
- ☆9Updated 2 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- Code for NaiveFeatureSelection, i.e. feature selection in Naive Bayes, see https://arxiv.org/abs/1905.09884☆9Updated 4 years ago
- Bayesian Adaptive Spline Surfaces for flexible and automatic regression☆24Updated last year
- Code for nonconvex graph trend filtering☆10Updated 3 years ago
- Source code for the Joint Shapley values: a measure of joint feature importance☆13Updated 3 years ago
- ☆10Updated 3 years ago
- Sampled Quasi-Newton Methods for Deep Learning☆22Updated 5 years ago
- Official code for the paper: Invertible Neural Network for Graph Prediction☆9Updated 2 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- Dynamic causal Bayesian optimisation☆39Updated 2 years ago