 Incorporating the ChEES Criterion into Sequential Monte Carlo SamplersFusion (Fusion), 2025 |
 Learning to Explore for Stochastic Gradient MCMCInternational Conference on Machine Learning (ICML), 2024 |
 Adaptive Tuning for Metropolis Adjusted Langevin TrajectoriesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
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 What Are Bayesian Neural Network Posteriors Really Like?International Conference on Machine Learning (ICML), 2021 |
 Hamiltonian Monte Carlo in Inverse Problems; Ill-Conditioning and
Multi-ModalityInternational Journal for Uncertainty Quantification (IJUQ), 2021 |
 Wavelet Flow: Fast Training of High Resolution Normalizing FlowsNeural Information Processing Systems (NeurIPS), 2020 |
