atlas

Research map / Probabilistic and scientific modeling / Causal discovery

A Compositional Atlas for Algebraic Circuits

NeurIPS 2024 · Probabilistic and scientific modeling › Causal discovery · approach: Counterfactual identification and bounds · 1 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's full text. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Proposes an algebraic, compositional framework for inference on circuits over arbitrary semirings (aggregation, product, elementwise mapping), deriving tractability and composability conditions that unify and improve known results for 2AMC, PASP, MMAP, and causal backdoor/frontdoor queries.

Problem

Determining when complex inference queries that mix semirings (e.g., marginal MAP, probabilistic answer set programming, causal adjustment) can be computed tractably on algebraic circuits, which previously required instance-specific analysis.

Approach

Views inference queries as compositions of three basic operators (aggregation, product, elementwise mapping) over commutative semirings, and gives sufficient circuit-property conditions (X-determinism, X-compatibility, X-support-compatibility) that are preserved through composition, so tractable compositions can be checked systematically.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add Z-determinism while retaining (X ∪ Z)-determinismBackdoor inference on probabilistic circuits · Backdoorcomplexity: O(|C|^2) -> O(|C|)Helped
Use support-compatibility for the inner productFrontdoor inference on probabilistic circuits · Frontdoorcomplexity: cubic -> quadraticHelped
Add X-determinism to smooth, decomposable, deterministic, X-first circuits2AMC · 2AMCtractability: nullHelped
Require only smoothness, decomposability, determinism, and X-firstness, without X-determinism2AMC · 2AMCtractability: nullHurt
Replace X-firstness with X-determinismSmooth, decomposable circuits · Circuit size as |X| growscircuit size: poly(n) -> 2^{Ω(n)}Helped

Surprising findings

Limitations

Experimental setup

Baselines: 2AMC X-firstness algorithm (Derkinderen et al.) backdoor/frontdoor algorithms on probabilistic circuits (Zečević et al.)

Builds on: probabilistic circuits compatibility (Shen et al.) 2AMC algebraic model counting compositional atlas for probabilistic circuits

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy