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Mishfad Shaikh Veedu

2 accepted papers

2026

Frequency-Domain Better than Time-Domain for Causal Structure Recovery in Dynamical Systems on Networks

ICLR 2026poster

Learning causal effects from data is a fundamental and well-studied problem across science, especially when the cause-effect relationship is static in nature. However, causal effect is less explored when there are dynamical dependencies, i.e., when dependencies exist between entities across time. In…

Cited by 0SourceScholar
2024

Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs

AISTATS 2024poster

In this article, the optimal sample complexity of learning the underlying interactions or dependencies of a Linear Dynamical System (LDS) over a Directed Acyclic Graph (DAG) is studied. We call such a DAG underlying an LDS as dynamical DAG (DDAG). In particular, we consider a DDAG where the nodal dy…