activity
20232026
most citedInterventionally Consistent Surrogates for Agent-based Simulators

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Generalised Transportability via Causal Abstractions

Yorgos Felekis, Paris Giampouras, Fabio Massimo Zennaro +1

Transporting a causal conclusion from a source study population to a target one is a fundamental problem in causal inference. The theory of transportability provides a criterion fo…

cs.LG2025

Distributionally Robust Causal Abstractions

Yorgos Felekis, Theodoros Damoulas, Paris Giampouras

Causal Abstraction (CA) theory provides a principled framework for relating causal models that describe the same system at different levels of granularity while ensuring interventi…

cs.LG2024

Causally Abstracted Multi-armed Bandits

Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer +4

Multi-armed bandits (MAB) and causal MABs (CMAB) are established frameworks for decision-making problems. The majority of prior work typically studies and solves individual MAB and…

cs.MA2023★ 1 cited

Interventionally Consistent Surrogates for Agent-based Simulators

Joel Dyer, Nicholas Bishop, Yorgos Felekis +4

Agent-based simulators provide granular representations of complex intelligent systems by directly modelling the interactions of the system's constituent agents. Their high-fidelit…

cs.LG2023★ 1 cited

Causal Optimal Transport of Abstractions

Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini +1

Causal abstraction (CA) theory establishes formal criteria for relating multiple structural causal models (SCMs) at different levels of granularity by defining maps between them. T…