← Core Methods
Machine Learning › Core Methods ›

Sampling

52 directly classified papers

Papers per year

Papers

Length Controlled Generation for Black-box LLMs ACL 2025
Top-n𝜎: Eliminating Noise in Logit Space for Robust Token Sampling of LLM ACL 2025
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025
Small coresets via negative dependence: DPPs, linear statistics, and concentration NIPS 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NIPS 2024
A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024
A Coreset Learning Reality Check AAAI 2023
Randomized geometric tools for anomaly detection in stock markets AISTATS 2023
A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023
Greedy Poisson Rejection Sampling NIPS 2023
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023
Improving multiple-try Metropolis with local balancing JMLR 2023
A Faster Practical Approximation Scheme for the Permanent AAAI 2023
A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract) AAAI 2022
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling NIPS 2022
Conformal Frequency Estimation with Sketched Data NIPS 2022
Continuously Tempered PDMP samplers NIPS 2022
Learning Influence Adoption in Heterogeneous Networks AAAI 2022
On Scalable Testing of Samplers NIPS 2022
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
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021
Gradient Estimation with Stochastic Softmax Tricks NIPS 2020