random sampling

Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers EACL 2026 Random is Faster than Systematic in Multi-Objective Local Search AAAI 2026 Revisiting In-Context Learning with Long Context Language Models ACL 2025 Asynchronous Randomized Trace Estimation AISTATS 2024 DAM: Towards a Foundation Model for Forecasting ICLR 2024 On the Fragility of Active Learners for Text Classification EMNLP 2024 Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning ICLR 2024 Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation NAACL 2024 Coverage-centric Coreset Selection for High Pruning Rates ICLR 2023 Kernel Quadrature with Randomly Pivoted Cholesky NeurIPS 2023 Properties of Position Matrices and Their Elections AAAI 2023 Sharper Bounds for ℓ_p Sensitivity Sampling ICML 2023 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022 DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search AISTATS 2022 On Synthetic Data for Back Translation NAACL 2022 Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis AAAI 2022 Translation Word-Level Auto-Completion: What Can We Achieve Out of the Box? EMNLP 2022 Mixed-Features Vectors and Subspace Splitting ICLR 2021 Non-uniform Consistency of Online Learning with Random Sampling ALT 2021 Sequential Random Sampling Revisited: Hidden Shuffle Method AISTATS 2021 Subspace Clustering through Sub-Clusters JMLR 2021 Voting for the Right Answer: Adversarial Defense for Speaker Verification Interspeech 2021 A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading AAAI 2020 RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds CVPR 2020 The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions AISTATS 2020