Sampling

Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023 Structured Voronoi Sampling NeurIPS 2023 The Sample Complexity of Approximate Rejection Sampling With Applications to Smoothed Online Learning COLT 2023 An Analysis of Ensemble Sampling NeurIPS 2022 A Quadrature Rule combining Control Variates and Adaptive Importance Sampling NeurIPS 2022 A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract) AAAI 2022 Conformal Frequency Estimation with Sketched Data NeurIPS 2022 Constrained Langevin Algorithms with L-mixing External Random Variables NeurIPS 2022 Continuously Tempered PDMP samplers NeurIPS 2022 Generalized Kernel Thinning ICLR 2022 Interacting Contour Stochastic Gradient Langevin Dynamics ICLR 2022 IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling AAAI 2022 Learning Influence Adoption in Heterogeneous Networks AAAI 2022 Natural gradient enables fast sampling in spiking neural networks NeurIPS 2022 On Scalable Testing of Samplers NeurIPS 2022 Perfect Sampling from Pairwise Comparisons NeurIPS 2022 Private Convex Optimization via Exponential Mechanism COLT 2022 Probing BERT’s priors with serial reproduction chains ACL 2022 Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis AAAI 2022 Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent NeurIPS 2022 Top Two Algorithms Revisited NeurIPS 2022 Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees AAAI 2022 A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021 Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021 IQDet: Instance-Wise Quality Distribution Sampling for Object Detection CVPR 2021