quasi-monte carlo

Fast Summation of Radial Kernels via QMC Slicing ICLR 2025 DiJiang: Efficient Large Language Models through Compact Kernelization ICML 2024 Kernel Thinning JMLR 2024 Quasi-Monte Carlo Features for Kernel Approximation ICML 2024 Quasi-Monte Carlo for 3D Sliced Wasserstein ICLR 2024 Repelling Random Walks ICLR 2024 Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization NeurIPS 2023 Langevin Quasi-Monte Carlo NeurIPS 2023 Quasi-Monte Carlo Graph Random Features NeurIPS 2023 Non-Probability Sampling Network for Stochastic Human Trajectory Prediction CVPR 2022 Policy Learning and Evaluation with Randomized Quasi-Monte Carlo AISTATS 2022 Sampling Permutations for Shapley Value Estimation JMLR 2022 Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021 Kernel Thinning COLT 2021 Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021 Effectively Unbiased FID and Inception Score and Where to Find Them CVPR 2020 Efficient Rollout Strategies for Bayesian Optimization UAI 2020 Subgroup-based Rank-1 Lattice Quasi-Monte Carlo NeurIPS 2020 Quasi-Monte Carlo Variational Inference ICML 2018 Data-driven Random Fourier Features using Stein Effect IJCAI 2017 Density Estimation via Discrepancy Based Adaptive Sequential Partition NeurIPS 2016 Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016 Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels ICML 2014