Matches in SemOpenAlex for { <https://semopenalex.org/work/W2440208683> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2440208683 abstract "There is intense interest in applying machine learning methods to problems of causal inference which arise in applications such as healthcare, economic policy, and education. In this paper we use the counterfactual inference approach to causal inference, and propose new theoretical results and new algorithms for performing counterfactual inference. Building on an idea recently proposed by Johansson et al., our results and methods rely on learning so-called balanced representations: representations that are similar between the factual and counterfactual distributions. We give a novel, simple and intuitive bound, showing that the expected counterfactual error of a representation is bounded by a sum of the factual error of that representation and the distance between the factual and counterfactual distributions induced by the representation. We use Integral Probability Metrics to measure distances between distributions, and focus on two special cases: the Wasserstein distance and the Maximum Mean Discrepancy (MMD) distance. Our bound leads directly to new algorithms, which are simpler and easier to employ compared to those suggested in Johansson et al.. Experiments on real and simulated data show the new algorithms match or outperform state-of-the-art methods." @default.
- W2440208683 created "2016-06-24" @default.
- W2440208683 creator A5013431623 @default.
- W2440208683 creator A5039663119 @default.
- W2440208683 creator A5049528659 @default.
- W2440208683 date "2016-06-13" @default.
- W2440208683 modified "2023-09-27" @default.
- W2440208683 title "Bounding and Minimizing Counterfactual Error." @default.
- W2440208683 hasPublicationYear "2016" @default.
- W2440208683 type Work @default.
- W2440208683 sameAs 2440208683 @default.
- W2440208683 citedByCount "2" @default.
- W2440208683 countsByYear W24402086832020 @default.
- W2440208683 countsByYear W24402086832021 @default.
- W2440208683 crossrefType "posted-content" @default.
- W2440208683 hasAuthorship W2440208683A5013431623 @default.
- W2440208683 hasAuthorship W2440208683A5039663119 @default.
- W2440208683 hasAuthorship W2440208683A5049528659 @default.
- W2440208683 hasConcept C108650721 @default.
- W2440208683 hasConcept C111472728 @default.
- W2440208683 hasConcept C11413529 @default.
- W2440208683 hasConcept C119857082 @default.
- W2440208683 hasConcept C134306372 @default.
- W2440208683 hasConcept C138885662 @default.
- W2440208683 hasConcept C149782125 @default.
- W2440208683 hasConcept C154945302 @default.
- W2440208683 hasConcept C15744967 @default.
- W2440208683 hasConcept C158600405 @default.
- W2440208683 hasConcept C17744445 @default.
- W2440208683 hasConcept C199539241 @default.
- W2440208683 hasConcept C2776214188 @default.
- W2440208683 hasConcept C2776359362 @default.
- W2440208683 hasConcept C2780586882 @default.
- W2440208683 hasConcept C33923547 @default.
- W2440208683 hasConcept C34388435 @default.
- W2440208683 hasConcept C41008148 @default.
- W2440208683 hasConcept C63584917 @default.
- W2440208683 hasConcept C77805123 @default.
- W2440208683 hasConcept C80444323 @default.
- W2440208683 hasConcept C94625758 @default.
- W2440208683 hasConceptScore W2440208683C108650721 @default.
- W2440208683 hasConceptScore W2440208683C111472728 @default.
- W2440208683 hasConceptScore W2440208683C11413529 @default.
- W2440208683 hasConceptScore W2440208683C119857082 @default.
- W2440208683 hasConceptScore W2440208683C134306372 @default.
- W2440208683 hasConceptScore W2440208683C138885662 @default.
- W2440208683 hasConceptScore W2440208683C149782125 @default.
- W2440208683 hasConceptScore W2440208683C154945302 @default.
- W2440208683 hasConceptScore W2440208683C15744967 @default.
- W2440208683 hasConceptScore W2440208683C158600405 @default.
- W2440208683 hasConceptScore W2440208683C17744445 @default.
- W2440208683 hasConceptScore W2440208683C199539241 @default.
- W2440208683 hasConceptScore W2440208683C2776214188 @default.
- W2440208683 hasConceptScore W2440208683C2776359362 @default.
- W2440208683 hasConceptScore W2440208683C2780586882 @default.
- W2440208683 hasConceptScore W2440208683C33923547 @default.
- W2440208683 hasConceptScore W2440208683C34388435 @default.
- W2440208683 hasConceptScore W2440208683C41008148 @default.
- W2440208683 hasConceptScore W2440208683C63584917 @default.
- W2440208683 hasConceptScore W2440208683C77805123 @default.
- W2440208683 hasConceptScore W2440208683C80444323 @default.
- W2440208683 hasConceptScore W2440208683C94625758 @default.
- W2440208683 hasLocation W24402086831 @default.
- W2440208683 hasOpenAccess W2440208683 @default.
- W2440208683 hasPrimaryLocation W24402086831 @default.
- W2440208683 hasRelatedWork W1565923521 @default.
- W2440208683 hasRelatedWork W1914062059 @default.
- W2440208683 hasRelatedWork W2099932489 @default.
- W2440208683 hasRelatedWork W2150181672 @default.
- W2440208683 hasRelatedWork W2548641835 @default.
- W2440208683 hasRelatedWork W2576079298 @default.
- W2440208683 hasRelatedWork W2773456610 @default.
- W2440208683 hasRelatedWork W2790324363 @default.
- W2440208683 hasRelatedWork W2904638191 @default.
- W2440208683 hasRelatedWork W2914037023 @default.
- W2440208683 hasRelatedWork W2950906236 @default.
- W2440208683 hasRelatedWork W2955421345 @default.
- W2440208683 hasRelatedWork W2984270925 @default.
- W2440208683 hasRelatedWork W3081051123 @default.
- W2440208683 hasRelatedWork W3093411252 @default.
- W2440208683 hasRelatedWork W3112176259 @default.
- W2440208683 hasRelatedWork W3169578542 @default.
- W2440208683 hasRelatedWork W3174436986 @default.
- W2440208683 hasRelatedWork W3212640884 @default.
- W2440208683 hasRelatedWork W811226091 @default.
- W2440208683 isParatext "false" @default.
- W2440208683 isRetracted "false" @default.
- W2440208683 magId "2440208683" @default.
- W2440208683 workType "article" @default.