ntienvu/BOIL

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ntienvu/BOIL

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Release code for Bayesian Optimization for Iterative Learning (BOIL) at NeurIPS2020

MiniBO

Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization

Jupyter Notebook

KnownOptimum_BO

Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization

Jupyter Notebook

abnormal_detection_video_surveillance

Source code for abnormal detection on MIT video surveillance dataset using Nonnegative Matrix Factorization

ICDM2016_B3O

Released code for ICDM 2016 Budgeted Batch Bayesian Optimization

ACML2016_BNMC

Source code for Bayesian Nonparametric Multi-label Classification ACML 2016

ICDM2017_FBO

Filtering Bayesian Optimization (FBO) in Weakly Specified Search Space

KWN

KWN Modeling for Increased Efficiency of Al-Sc Precipitation Strengthening

TW_NAS

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search at ICML2021

NonparametricBudgetedSGD

Matlab code for Nonparametric Budgeted SGD for classification and regression (AISTATS 2016)

ICDM2016_OLR

Released code for ICDM 2016 One-pass Logistic Regression

ICDM2019_PVRS

Jupyter Notebook

LargeSampleAsymptotic_ScalableNonparametricClustering

LargeSampleAsymptotic_BNP_NIPS_AABI_2015

Abnormal_Detection_PCA

Abnormality Detection using PCA approach

ntienvu.github.io

Jupyter Notebook

tvo_gp_bandit

Code for the "Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective" at NeurIPS20

Jupyter Notebook