Statistical Machine Learning Group
StatML group focuses on research in modern statistics and machine learning with particular emphasis on probabilistically inspired approaches
Pinned Repositories
alpaca
Library for active learning and uncertainty estimation in machine learning
dpp-dropout-uncertainty
Effective uncertainty estimation with decorellation and DPP mask for dropout
GeoMLE
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
hist-loss
Package with histogram-based losses
mcvae
ncvis
Noise-Contrastive Visualization
ncvis-examples
Examples for NCVis Python wrapper.
NUQ
SPOC
TTDE
Statistical Machine Learning Group's Repositories
stat-ml/ncvis
Noise-Contrastive Visualization
stat-ml/alpaca
Library for active learning and uncertainty estimation in machine learning
stat-ml/GeoMLE
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
stat-ml/TTDE
stat-ml/hist-loss
Package with histogram-based losses
stat-ml/mcvae
stat-ml/NUQ
stat-ml/dpp-dropout-uncertainty
Effective uncertainty estimation with decorellation and DPP mask for dropout
stat-ml/ncvis-examples
Examples for NCVis Python wrapper.
stat-ml/scale-face
stat-ml/SPOC
stat-ml/efficient_bayesian_coresets
stat-ml/large_batch_bald
Scalable Batch Acquisition for Deep Bayesian Active Learning
stat-ml/uncertainty_from_proper_scoring_rules
stat-ml/id_prediction_intervals
stat-ml/Federated_switching
stat-ml/frontiers-stat-inf-2025
Workshop on the Frontiers of Statistical Inference 2025
stat-ml/mtcnn
MTCNN face detection implementation for TensorFlow, as a PIP package.
stat-ml/rcp
Rectified Conformal Prediction
stat-ml/spoc_topic_modelling
stat-ml/ugrip
stat-ml/uncertainty-line