Search Results for author: Claudia Shi

Found 6 papers, 4 papers with code

Causal-structure Driven Augmentations for Text OOD Generalization

no code implementations19 Oct 2023 Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei

The reliance of text classifiers on spurious correlations can lead to poor generalization at deployment, raising concerns about their use in safety-critical domains such as healthcare.

Data Augmentation Language Modelling +1

Evaluating the Moral Beliefs Encoded in LLMs

1 code implementation26 Jul 2023 Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei

(2) We apply this method to study what moral beliefs are encoded in different LLMs, especially in ambiguous cases where the right choice is not obvious.

Moral Scenarios

An Invariant Learning Characterization of Controlled Text Generation

1 code implementation31 May 2023 Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei

In this paper, we show that the performance of controlled generation may be poor if the distributions of text in response to user prompts differ from the distribution the predictor was trained on.

Language Modelling Large Language Model +1

Invariant Representation Learning for Treatment Effect Estimation

1 code implementation24 Nov 2020 Claudia Shi, Victor Veitch, David Blei

To address this challenge, practitioners collect and adjust for the covariates, hoping that they adequately correct for confounding.

Causal Identification Causal Inference +2

Adapting Neural Networks for the Estimation of Treatment Effects

5 code implementations NeurIPS 2019 Claudia Shi, David M. Blei, Victor Veitch

We propose two adaptations based on insights from the statistical literature on the estimation of treatment effects.

Causal Inference

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