 DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for
Large-Scale Bayesian InferenceInternational Conference on Machine Learning (ICML), 2023 |
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 Accountability in an Algorithmic Society: Relationality, Responsibility,
and Robustness in Machine LearningConference on Fairness, Accountability and Transparency (FAccT), 2022 |
 Surrogate Likelihoods for Variational Annealed Importance SamplingInternational Conference on Machine Learning (ICML), 2021 |
 Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via
Non-uniform Subsampling of GradientsDiscrete and Continuous Dynamical Systems. Series A (DCDS-A), 2020 |
