Alternatives and similar repositories for adaHuber

Users that are interested in adaHuber are comparing it to the libraries listed below

• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 6 years ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 4 years ago
• XiaoouPan / ILAMM
  Nonconvex Regularized Robust Regression via I-LAMM Algorithm
  ☆11Updated 3 years ago
• Hua-Zhou / SparseReg
  Matlab toolbox for sparse regression
  ☆30Updated 3 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• anfelopera / lineqGPR
  Gaussian processes regression models with linear inequality constraints
  ☆15Updated last year
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆32Updated 5 months ago
• AnchorBlues / GroupLasso
  Group Lasso package for Python.
  ☆16Updated 2 years ago
• VietTran86 / Copula-Variational-Bayes
  Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…
  ☆54Updated 6 years ago
• yorkerlin / VB-MixEF
  Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"
  ☆19Updated 4 years ago
• wmyw96 / FAST-NN
  Scripts for our paper ``Factor Augmented Sparse Throughput Deep Neural Networks for High Dimensional Regression''
  ☆13Updated 8 months ago
• shifwang / Nonconvex_ADMM_Demos
  This includes codes for Alternating Direction Method of Multipliers (ADMM) on several interesting applications, such as Lq basis pursuit,…
  ☆21Updated 9 years ago
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆102Updated last year
• yuekai / pnopt
  Proximal Newton OPTimizer
  ☆23Updated 10 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 6 years ago
• YiifeiWang / LASSO
  This repository implements various algorithms to solve LASSO problem via Matlab.
  ☆11Updated 6 years ago
• ckuemmerle / MatrixIRLS
  Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation
  ☆16Updated 4 years ago
• cvxgrp / strat_models
  A distributed method for fitting Laplacian regularized stratified models.
  ☆25Updated 4 years ago
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆23Updated 6 years ago
• zgbkdlm / tme
  Taylor moment expansion in Python (JaX and SymPy) and Matlab
  ☆11Updated last year
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• bentoayr / ADMM-tutorial
  ☆33Updated 2 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆66Updated 2 years ago
• WenxinZhou / conquer
  Convolution Smoothed Quantile Regression
  ☆18Updated last year
• wgurecky / StarVine
  Tools to construct canonical and regular vines. StarVine can also be used as a bivariate copula fitting tool.
  ☆15Updated 5 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated 2 years ago
• danilkuzin / GP-EnKF
  Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…
  ☆17Updated 7 years ago
• nicola-bastianello / tvopt
  tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.
  ☆14Updated 2 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 9 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated 2 years ago