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Found 5 papers, 1 papers with code
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model
Our experiments demonstrate that the CDF-cold framework outperforms state-of-the-art forecasting models in predicting future values of multivariate time series data.
Contagion Effect Estimation Using Proximal Embeddings
Contagion effect refers to the causal effect of peers' behavior on the outcome of an individual in social networks.
Non-Parametric Inference of Relational Dependence
Independence testing plays a central role in statistical and causal inference from observational data.
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting
In this work, we empirically show that catastrophic forgetting occurs in such methods by evaluating them with general NLP tasks in GLUE.
Minimizing Interference and Selection Bias in Network Experiment Design
Here, we show that cluster randomization does not ensure sufficient node randomization and it can lead to selection bias in which treatment and control nodes represent different populations of users.
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