Anand Louis

Robust Identifiability in Linear Structural Equation Models of Causal Inference

2020 · arXiv (Cornell University)

In this work, we consider the problem of robust parameter estimation from observational data in the context of linear structural equation models (LSEMs). LSEMs are a popular and well-studied class of models for inferring causality …

NHP: Neural Hypergraph Link Prediction

2020

Link prediction insimple graphs is a fundamental problem in which new links between vertices are predicted based on the observed structure of the graph. However, in many real-world applications, there is a need to model …

Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness

2023 · arXiv (Cornell University)

In learning-to-rank (LTR), optimizing only the relevance (or the expected ranking utility) can cause representational harm to certain categories of items. Moreover, if there is implicit bias in the relevance scores, LTR models may fail …