aspremon / NaiveFeatureSelection
Code for NaiveFeatureSelection, i.e. feature selection in Naive Bayes, see https://arxiv.org/abs/1905.09884
☆9Updated 4 years ago
Alternatives and similar repositories for NaiveFeatureSelection:
Users that are interested in NaiveFeatureSelection are comparing it to the libraries listed below
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 2 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- A short course on temporal point process and modeling irregular time series☆21Updated 4 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
- CEVAE with VampPrior☆11Updated 6 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14Updated 4 years ago
- Software relating to relational empirical risk minimization☆17Updated 3 years ago
- ☆12Updated 2 years ago
- ☆12Updated 3 years ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- ☆8Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- TF-Tile: an efficient sparse representation for real-valued data☆14Updated 2 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- This repo contains code for GeoMLE intrinsic dimension estimation algorithm☆20Updated 4 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- ☆16Updated 2 years ago
- Topological Features for Time Series Classification☆17Updated 4 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 2 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Forecasting library in python☆13Updated 5 years ago
- ☆15Updated 2 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…☆11Updated 2 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago