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Jan-Peter Calliess

2 accepted papers

2021

Bayesian Topic Regression for Causal Inference

EMNLP 2021main

Causal inference using observational text data is becoming increasingly popular in many research areas. This paper presents the Bayesian Topic Regression (BTR) model that uses both text and numerical information to model an outcome variable. It allows estimation of both discrete and continuous treat…

2019

Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation

ICML 2019oral

Batch Bayesian optimisation (BO) has been successfully applied to hyperparameter tuning using parallel computing, but it is wasteful of resources: workers that complete jobs ahead of others are left idle. We address this problem by developing an approach, Penalising Locally for Asynchronous Bayesian…