Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
Authors: Benjie Wang, Clare Lyle, Marta Kwiatkowska
IJCAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results demonstrate that the methods yield useful and interpretable bounds for a range of practical networks, paving the way towards provably causally robust decision-making systems.The results are shown in Table 1.In Table 2 we show the performance of our joint compilation approach on a number of benchmark Bayesian networks...In Table 3 we analyse the quality of our upper and lower bounds on interventional robustness. |
| Researcher Affiliation | Academia | Benjie Wang , Clare Lyle and Marta Kwiatkowska University of Oxford benjie.wang@cs.ox.ac.uk |
| Pseudocode | Yes | Algorithm 1: UB(AC, e, W ) (Upper Bounding) and Algorithm 2: Lower Bounding |
| Open Source Code | No | The paper does not provide concrete access to source code (specific repository link, explicit code release statement, or code in supplementary materials) for the methodology described. |
| Open Datasets | Yes | In Table 2 we show the performance of our joint compilation approach on a number of benchmark Bayesian networks...The 'insurance' network refers to [Binder et al., 1997], which is a proper citation for a public dataset. 'win95pts' and 'hepar2' are also commonly used benchmarks in this field. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) needed to reproduce the data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper mentions using the 'C2D compiler [Darwiche, 2004]' but does not provide a specific version number for this or any other software component used to replicate the experiment. |
| Experiment Setup | No | The paper does not contain specific experimental setup details (concrete hyperparameter values, training configurations, or system-level settings) in the main text. |