Mykola Pechenizkiy

Analyzing fairness in algorithms and its legal implications.

A new method improves efficiency and fairness in warehouse picking operations with robots.

A new algorithm improves learning in constrained environments using posterior sampling.

A new method helps robots learn from humans while ignoring distractions.

This method improves communication efficiency in federated learning while preserving data privacy.

Nerva introduces a unique way to build efficient neural networks using sparsity.

Sparse Neural Networks streamline feature selection for better model performance.

A new approach aims to improve active learning's resilience to attacks.

Examining the role and effectiveness of privileged information in machine learning.

Exploring Sparse Neural Networks and their performance with challenging training data.