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08/30/2023
Food Choice Mimicry on a Large University Campus
Social influence is a strong determinant of food consumption, which in t...
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06/15/2023
Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
An improved understanding of soil can enable more sustainable land-use p...
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04/28/2023
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
The causal capabilities of large language models (LLMs) is a matter of s...
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01/22/2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models
Recent advances in probabilistic generative modeling have motivated lear...
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11/10/2022
Causal Modeling of Soil Processes for Improved Generalization
Measuring and monitoring soil organic carbon is critical for agricultura...
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10/13/2022
Language Model Decoding as Likelihood-Utility Alignment
A critical component of a successful language generation pipeline is the...
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10/07/2022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
Given a user's input text, text-matching recommender systems output rele...
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06/15/2022
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Real-world data collected from multiple domains can have multiple, disti...
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10/16/2021
Invariant Language Modeling
Modern pretrained language models are critical components of NLP pipelin...
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02/17/2021
Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study
Nutrition is a key determinant of long-term health, and social influence...
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01/16/2021
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
This work considers the out-of-distribution (OOD) prediction problem whe...
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11/11/2020
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
For many kinds of interventions, such as a new advertisement, marketing ...
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11/09/2020
DoWhy: An End-to-End Library for Causal Inference
In addition to efficient statistical estimators of a treatment's effect,...
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10/17/2020
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
It is often critical for prediction models to be robust to distributiona...
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10/15/2020
Causal Inference in the Presence of Interference in Sponsored Search Advertising
In classical causal inference, inferring cause-effect relations from dat...
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07/13/2020
Security and Machine Learning in the Real World
Machine learning (ML) models deployed in many safety- and business-criti...
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06/26/2020
AvE: Assistance via Empowerment
One difficulty in using artificial agents for human-assistive applicatio...
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09/08/2019
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Although systematic biases in decision-making are widely documented, the...
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10/24/2017
