sampling algorithm

Conditionally Strongly Log-Concave Generative Models ICML 2023 Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions NeurIPS 2023 Feature Staleness Aware Incremental Learning for CTR Prediction IJCAI 2023 GFlowNet Foundations JMLR 2023 Langevin Quasi-Monte Carlo NeurIPS 2023 Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs NeurIPS 2023 Lingxi: A Diversity-aware Chinese Modern Poetry Generation System ACL 2023 LSDS++ : Dual Sampling for Accelerated k-means++ ICML 2023 On Differentially Private Sampling from Gaussian and Product Distributions NeurIPS 2023 Restart Sampling for Improving Generative Processes NeurIPS 2023 Sampling From a Schrödinger Bridge AISTATS 2023 Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk NeurIPS 2023 Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023 A Continuous Time Framework for Discrete Denoising Models NeurIPS 2022 Adapting k-means Algorithms for Outliers ICML 2022 A Deep Learning Dataloader with Shared Data Preparation NeurIPS 2022 An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022 A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract) AAAI 2022 A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis L4DC 2022 Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022 Continuously Tempered PDMP samplers NeurIPS 2022 Coresets for Wasserstein Distributionally Robust Optimization Problems NeurIPS 2022 Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions AAAI 2022 Efficient Sampling on Riemannian Manifolds via Langevin MCMC NeurIPS 2022 Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022