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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…

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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…