 Fast Kernel Summation in High Dimensions via Slicing and Fourier
TransformsSIAM Journal on Mathematics of Data Science (SIMODS), 2024 |
 Posterior Sampling Based on Gradient Flows of the MMD with Negative
Distance KernelInternational Conference on Learning Representations (ICLR), 2023 |
 Quasi-Monte Carlo for 3D Sliced WassersteinInternational Conference on Learning Representations (ICLR), 2023 |
 Generative Sliced MMD Flows with Riesz KernelsInternational Conference on Learning Representations (ICLR), 2023 |
 The Fast Kernel TransformInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Generalization Bounds for Sparse Random Feature ExpansionsApplied and Computational Harmonic Analysis (ACHA), 2021 |
 cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform
FFTsIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2021 |
 Kernel Operations on the GPU, with Autodiff, without Memory OverflowsJournal of machine learning research (JMLR), 2020 |
 Maximum Mean Discrepancy Gradient FlowNeural Information Processing Systems (NeurIPS), 2019 |
 Stein Variational Gradient Descent: A General Purpose Bayesian Inference
AlgorithmNeural Information Processing Systems (NeurIPS), 2016 |
 On the Error of Random Fourier FeaturesConference on Uncertainty in Artificial Intelligence (UAI), 2015 |
 Quasi-Monte Carlo Feature Maps for Shift-Invariant KernelsJournal of machine learning research (JMLR), 2014 |
 ASKIT: Approximate Skeletonization Kernel-Independent Treecode in High
DimensionsSIAM Journal on Scientific Computing (SISC), 2014 |
 A Kernel Method for the Two-Sample ProblemNeural Information Processing Systems (NeurIPS), 2006 |
