← Search

Andrej Tschalzev

3 accepted papers

2025

TabArena: A Living Benchmark for Machine Learning on Tabular Data

NeurIPS 2025spotlight

With the growing popularity of deep learning and foundation models for tabular data, the need for standardized and reliable benchmarks is higher than ever. However, current benchmarks are static. Their design is not updated even if flaws are discovered, model versions are updated, or new models are…

Cited by 0SourceScholar
2024

A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data

NeurIPS 2024poster

Tabular data is prevalent in real-world machine learning applications, and new models for supervised learning of tabular data are frequently proposed. Comparative studies assessing performance differences typically have model-centered evaluation setups with overly standardized data preprocessing. Th…

2024

Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods

IJCAI 2024poster

Neural networks often assume independence among input data samples, disregarding correlations arising from inherent clustering patterns in real-world datasets (e.g., due to different sites or repeated measurements). Recently, mixed effects neural networks (MENNs) which separate cluster-specific 'ran…