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average treatment effect

PulseAugur coverage of average treatment effect — every cluster mentioning average treatment effect across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 7 TOTAL
  1. TOOL · CL_242223 ·

    Causal Foundation Models leverage in-context learning for causal inference

    Researchers have introduced Causal Foundation Models (CFMs), which leverage pretrained neural networks to estimate causal effects on new datasets through in-context learning. This approach eliminates the need for fine-t…

  2. RESEARCH · CL_185305 ·

    VR study reveals racial bias in police language, explores LLM use for analysis

    A new study utilizing virtual reality simulations has investigated how police officers' language use is affected by the perceived race and gender of individuals they interact with. The research found that most officers …

  3. TOOL · CL_164995 ·

    New V-fold jackknife offers efficient statistical inference alternative

    Researchers have introduced the V-fold jackknife, a new statistical method designed as a computationally efficient and theoretically sound alternative to the bootstrap for semiparametric inference. This method requires …

  4. TOOL · CL_154022 ·

    Economists develop theoretical framework for pre-trained embeddings

    Researchers have developed a theoretical framework for using pre-trained deep learning embeddings in econometrics, addressing challenges where models are trained on different datasets or tasks. The paper provides condit…

  5. RESEARCH · CL_135249 ·

    New method generates differentially private synthetic data for causal inference

    Researchers have developed a new method for generating differentially private synthetic data specifically tailored for causal inference. This approach, termed "causal workloads," focuses on preserving the orthogonal mom…

  6. TOOL · CL_65542 ·

    New causal metrics capture structural effects beyond averages

    Researchers have developed new methods to measure causal effects in data that go beyond simple averages. These methods use topological and geometrical properties of outcome distributions to capture structural changes ca…

  7. TOOL · CL_27750 ·

    New Sinkhorn Treatment Effect Measure Analyzes Counterfactual Distributions

    Researchers have developed a new statistical measure called the Sinkhorn treatment effect, which uses entropic optimal transport to quantify differences between counterfactual distributions. This measure goes beyond tra…