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20222026
most citedWhy do tree-based models still outperform deep learning on tabular data?

159 citations

Showing 2024Show all

5 papers · 1 filter

cs.AI2024

A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents

Jean Vassoyan, Anan Schütt, Jill-Jênn Vie +3

Massive Open Online Courses (MOOCs) have greatly contributed to making education more accessible. However, many MOOCs maintain a rigid, one-size-fits-all structure that fails to ad…

stat.ML2024★ 2 cited

Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks

Julie Alberge, Vincent Maladière, Olivier Grisel +2

When dealing with right-censored data, where some outcomes are missing due to a limited observation period, survival analysis -- known as time-to-event analysis -- focuses on predi…

cs.AI2024★ 3 cited

Imputation for prediction: beware of diminishing returns

Marine Le Morvan, Gaël Varoquaux

Missing values are prevalent across various fields, posing challenges for training and deploying predictive models. In this context, imputation is a common practice, driven by the…

cs.AI2024

Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks

Julie Alberge, Vincent Maladière, Olivier Grisel +2

When data are right-censored, i.e. some outcomes are missing due to a limited period of observation, survival analysis can compute the "time to event". Multiple classes of outcomes…

cs.LG2024

Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits

Julien Zhou, Pierre Gaillard, Thibaud Rahier +2

We address the problem of stochastic combinatorial semi-bandits, where a player selects among P actions from the power set of a set containing d base items. Adaptivity to the probl…