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

159 citations

Showing 2026Show all

5 papers · 1 filter

cs.LG2026

Counterfactual learning of new adaptive instructional policies using logged data

Samuel Girard, Sein Minn, Amel Bouzeghoub +1

Optimizing instructional policies in Intelligent Tutoring Systems (ITS) typically requires costly online experimentation or student simulators that may fail to capture real-world d…

cs.CY2026

Estimating Learners' Skill Acquisition Without Temporal Information

Ryosuke Nagai, Kyohei Atarashi, Koh Takeuchi +2

Recent research in educational data mining, especially knowledge tracing, has focused on predicting learners' future knowledge states to support adaptive instruction. However, in m…

cs.IR2026

Adaptive Quality-Diversity Trade-offs for Large-Scale Batch Recommendation

Clémence Réda, Tomas Rigaux, Hiba Bederina +3

A core research question in recommender systems is to propose batches of highly relevant and diverse items, that is, items personalized to the user's preferences, but which also mi…

cs.LG2026

Live Knowledge Tracing: Real-Time Adaptation using Tabular Foundation Models

Mounir Lbath, Alexandre Parésy, Abdelkayoum Kaddouri +2

Deep knowledge tracing models have achieved significant breakthroughs in modeling student learning trajectories. However, these architectures require substantial training time and…

stat.ME2026

On the calibration of survival models with competing risks

Julie Alberge, Tristan Haugomat, Gaël Varoquaux +1

Survival analysis deals with modeling the time until an event occurs, and accurate probability estimates are crucial for decision-making, particularly in the competing-risks settin…