Title |
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 Stein Variational Evolution StrategiesConference on Uncertainty in Artificial Intelligence (UAI), 2024 |
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 -Variational Autoencoder: Learning Heavy-tailed Data with Student's
t and Power DivergenceInternational Conference on Learning Representations (ICLR), 2023 |
 Robust and Conjugate Gaussian Process RegressionInternational Conference on Machine Learning (ICML), 2023 |
 Robust and Scalable Bayesian Online Changepoint DetectionInternational Conference on Machine Learning (ICML), 2023 |
 Robust computation of optimal transport by -potential
regularizationAsian Conference on Machine Learning (ACML), 2022 |
 Robust PAC: Training Ensemble Models Under Misspecification and
OutliersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 |
 On the Difficulty of Unbiased Alpha Divergence MinimizationInternational Conference on Machine Learning (ICML), 2020 |
 -Cores: Robust Large-Scale Bayesian Data Summarization in the
Presence of OutliersWeb Search and Data Mining (WSDM), 2020 |
 Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020 Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier |
 Robust Generative Restricted Kernel Machines using Weighted Conjugate
Feature DualityInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2020 |
 Variational Predictive Information BottleneckSymposium on Advances in Approximate Bayesian Inference (AABI), 2019 |
 MMD-Bayes: Robust Bayesian Estimation via Maximum Mean DiscrepancySymposium on Advances in Approximate Bayesian Inference (AABI), 2019 |
 Robust Variational Autoencoders for Outlier Detection and Repair of
Mixed-Type DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 |
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