On approximate robust confidence distributionsEconometrics and Statistics (ES), 2022 |
Adaptation of the Tuning Parameter in General Bayesian Inference with
Robust DivergenceStatistics and computing (Stat Comput), 2021 |
-Cores: Robust Large-Scale Bayesian Data Summarization in the
Presence of OutliersWeb Search and Data Mining (WSDM), 2020 |
Expected Information Maximization: Using the I-Projection for Mixture
Density EstimationInternational Conference on Learning Representations (ICLR), 2020 |
Local scale invariance and robustness of proper scoring rulesStatistical Science (Statist. Sci.), 2019 |
Minimum Stein Discrepancy EstimatorsNeural Information Processing Systems (NeurIPS), 2019 |
Principles of Bayesian Inference using General Divergence CriteriaEntropy (Entropy), 2018 |