Social influence is a strong determinant of food consumption, which in t...
An improved understanding of soil can enable more sustainable land-use
p...
The causal capabilities of large language models (LLMs) is a matter of
s...
Recent advances in probabilistic generative modeling have motivated lear...
Measuring and monitoring soil organic carbon is critical for agricultura...
A critical component of a successful language generation pipeline is the...
Given a user's input text, text-matching recommender systems output rele...
Real-world data collected from multiple domains can have multiple, disti...
Modern pretrained language models are critical components of NLP pipelin...
Nutrition is a key determinant of long-term health, and social influence...
This work considers the out-of-distribution (OOD) prediction problem whe...
For many kinds of interventions, such as a new advertisement, marketing
...
In addition to efficient statistical estimators of a treatment's effect,...
It is often critical for prediction models to be robust to distributiona...
In classical causal inference, inferring cause-effect relations from dat...
Machine learning (ML) models deployed in many safety- and business-criti...
One difficulty in using artificial agents for human-assistive applicatio...
Although systematic biases in decision-making are widely documented, the...
Photographs, taken by field scientists, tourists, automated cameras, and...