On Relaxing Determinism in Arithmetic Circuits

Authors: Arthur Choi, Adnan Darwiche

ICML 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we provide a formal basis under which variants on ACs can be compared, and where the precise roles and semantics of their various properties can be made more transparent. This allows us to place some recent developments on ACs in a clearer perspective and to also derive new results for ACs. This includes an exponential separation between ACs with and without determinism; completeness and incompleteness results; and tractability results (or lack thereof) when computing most probable explanations (MPEs).
Researcher Affiliation Academia 1University of California, Los Angeles, California, USA. Correspondence to: Arthur Choi <aychoi@cs.ucla.edu>, Adnan Darwiche <darwiche@cs.ucla.edu>.
Pseudocode No The paper does not contain structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide concrete access to source code for the methodology described in this paper.
Open Datasets No The paper focuses on theoretical contributions and does not use or provide information on publicly available or open datasets for training.
Dataset Splits No The paper is theoretical and does not report on experimental validation, thus no specific dataset split information is provided.
Hardware Specification No The paper is theoretical and does not report on computational experiments that would require specific hardware details.
Software Dependencies No The paper is theoretical and does not describe computational experiments or implementations that would require specific ancillary software details.
Experiment Setup No The paper focuses on theoretical contributions and does not provide specific experimental setup details.