44 citations · 45 across the 3 of their papers we have counts for
3 papers
Let's Unlearn Stereotypes Before Decision-Making: Assessing the Impact of Intrinsic Bias Mitigation on Downstream Fairness in LLMs
Mina Arzaghi, Alireza Dehghanpour Farashah, Florian Carichon +2
Large Language Models (LLMs) are increasingly used in high-stakes decision-making systems, where biased predictions can reinforce social and economic disparities. Although prior wo…
Fully Bayesian inference for spatiotemporal data with the multi-resolution approximation
Luc Villandré, Jean-François Plante, Thierry Duchesne +1
Large spatiotemporal datasets are a challenge for conventional Bayesian models because of the cubic computational complexity of the algorithms for obtaining the Cholesky decomposit…
Statistical Inference, Learning and Models in Big Data
Beate Franke, Jean-François Plante, Ribana Roscher +11
The need for new methods to deal with big data is a common theme in most scientific fields, although its definition tends to vary with the context. Statistical ideas are an essenti…