Теория

Welcome and track structure

Motivation and Sources of Uncertainty

Estimating Data and Knowledge Uncertainty via Ensembles

Assessment of Uncertainty Quality

Ensemble Generation

Ensemble Distribution Distillation - Classification

Ensemble Distribution Distillation - Regression

Uncertainty for Active Learning

Uncertainty in Large Scale Vision and NLP models

Uncertainty in Gradient Boosting via Ensembles

Application Case Study

Anomaly Detection via Generative Models

Uncertainty in Speech Recognition and Machine Translation

Tutorial on Uncertainty Estimation

A tutorial on uncertainty estimation in ML for a non-research practitioners of machine learning. Will cover basics of uncertainty estimation via ensemble methods, ensemble-emulation methods and generative methods. We will also provide a detailed case-study of an example usage of uncertainty estimation.

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Data Fest 2020

Uncertainty Estimation in ML