activity
20192026
most citedLassoNet: A Neural Network with Feature Sparsity

63 citations · 73 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LG2026

Bandits in Prod: Hyperparameter Optimization at Inference Time

Louis Abraham, Tuan-Anh Nguyen, Nicolas Devatine

Many production systems can assess a configuration only by using it on live requests and observing noisy feedback. Modern agentic systems are a prominent example, with inference-ti…

cs.CL2024

Assessing Human Editing Effort on LLM-Generated Texts via Compression-Based Edit Distance

Nicolas Devatine, Louis Abraham

Assessing the extent of human edits on texts generated by Large Language Models (LLMs) is crucial to understanding the human-AI interactions and improving the quality of automated…

cs.CL2024★ 2 cited

Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models

Louis Abraham, Charles Arnal, Antoine Marie

Large Language Models have recently been applied to text annotation tasks from social sciences, equalling or surpassing the performance of human workers at a fraction of the cost.…

q-fin.CP2023

A Game of Competition for Risk

Louis Abraham

In this study, we present models where participants strategically select their risk levels and earn corresponding rewards, mirroring real-world competition across various sectors.…

stat.ML2022★ 2 cited

FastCPH: Efficient Survival Analysis for Neural Networks

Xuelin Yang, Louis Abraham, Sejin Kim +4

The Cox proportional hazards model is a canonical method in survival analysis for prediction of the life expectancy of a patient given clinical or genetic covariates -- it is a lin…

stat.ML2022★ 1 cited

Neural interval-censored survival regression with feature selection

Carlos García Meixide, Marcos Matabuena, Louis Abraham +1

Survival analysis is a fundamental area of focus in biomedical research, particularly in the context of personalized medicine. This prominence is due to the increasing prevalence o…