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Sampling

101 papers

Papers per year

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Papers

VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs ACL 2026
On Finding Hubs in High Dimensions with Sampling AAAI 2025
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows AAAI 2025
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations AAAI 2025
Top-n𝜎: Eliminating Noise in Logit Space for Robust Token Sampling of LLM ACL 2025
Length Controlled Generation for Black-box LLMs ACL 2025
Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding ACL 2025
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025
CASAGPT: Cuboid Arrangement and Scene Assembly for Interior Design CVPR 2025
FedCS: Coreset Selection for Federated Learning CVPR 2025
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NIPS 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NIPS 2024
Small coresets via negative dependence: DPPs, linear statistics, and concentration NIPS 2024
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling AAAI 2024
Efficient Dynamic Hard Negative Sampling for Dialogue Selection ACL 2024
A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024
Local and Global Decoding in Text Generation EMNLP 2024
Structured Voronoi Sampling NIPS 2023
Greedy Poisson Rejection Sampling NIPS 2023
A Coreset Learning Reality Check AAAI 2023
A Faster Practical Approximation Scheme for the Permanent AAAI 2023
City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC AAAI 2023
A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023
Randomized geometric tools for anomaly detection in stock markets AISTATS 2023