output
20172026
most citedRegularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features

168 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

7 papers

q-bio.NC2026

The vulnerable male brain: Men's spatial abilities are condition-dependent, sexually selected traits

David C. Geary, David Giofrè, Marcia Collaer +2

Traits that are exaggerated in one sex relative to the other sex might be more vulnerable to stressor exposure because the development and expression of these traits are costly. Se…

cs.HC2025★ 13 cited

Empathetic Conversational Agents: Utilizing Neural and Physiological Signals for Enhanced Empathetic Interactions

Nastaran Saffaryazdi, Tamil Selvan Gunasekaran, Kate Laveys +2

Conversational agents (CAs) are revolutionizing human-computer interaction by evolving from text-based chatbots to empathetic digital humans (DHs) capable of rich emotional express…

cs.NE2024★ 2 cited

The dynamic interplay between in-context and in-weight learning in humans and neural networks

Jacob Russin, Ellie Pavlick, Michael J. Frank

Human learning embodies a striking duality: sometimes, we appear capable of following logical, compositional rules and benefit from structured curricula (e.g., in formal education)…

cs.LG2023

Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning

Lakshmi Narasimhan Govindarajan, Rex G Liu, Drew Linsley +4

Humans learn by interacting with their environments and perceiving the outcomes of their actions. A landmark in artificial intelligence has been the development of deep reinforceme…

stat.ME2022

Quasi Model-Assisted Estimators under Nonresponse in Sample Surveys

Caren Hasler, Esther Eustache

In the presence of auxiliary information, model-assisted estimators rely on a working model linking the variable of interest to the auxiliary variables in order to improve the effi…

stat.ML2021★ 168 cited

Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features

Florian Pargent, Florian Pfisterer, Janek Thomas +1

Since most machine learning (ML) algorithms are designed for numerical inputs, efficiently encoding categorical variables is a crucial aspect in data analysis. A common problem are…

stat.ME2017★ 10 cited

Informed Bayesian T-Tests

Quentin F. Gronau, Alexander Ly, Eric-Jan Wagenmakers

Across the empirical sciences, few statistical procedures rival the popularity of the frequentist t-test. In contrast, the Bayesian versions of the t-test have languished in obscur…