 Stein -Importance SamplingNeural Information Processing Systems (NeurIPS), 2023 |
 Optimally-Weighted Estimators of the Maximum Mean Discrepancy for
Likelihood-Free InferenceInternational Conference on Machine Learning (ICML), 2023 |
 Gradient-Free Kernel Stein DiscrepancyNeural Information Processing Systems (NeurIPS), 2022 |
 Distribution Compression in Near-linear TimeInternational Conference on Learning Representations (ICLR), 2021 |
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 Kernel Stein Discrepancy DescentInternational Conference on Machine Learning (ICML), 2021 |
 Kernel ThinningAnnual Conference Computational Learning Theory (COLT), 2021 |
 Post-Processing of MCMCAnnual Review of Statistics and Its Application (ARSIA), 2021 |
 Scalable Control Variates for Monte Carlo Methods via Stochastic
OptimizationMonte Carlo and Quasi-Monte Carlo Methods (MCQMC), 2020 |
