Navin Goyal

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 …

Revisiting the Compositional Generalization Abilities of Neural Sequence Models

2022 · arXiv (Cornell University)

Compositional generalization is a fundamental trait in humans, allowing us to effortlessly combine known phrases to form novel sentences. Recent works have claimed that standard seq-to-seq models severely lack the ability to compositionally generalize. In …