conftrace_

random sampling

37 papers

Explore in graph

Co-occurring keywords

matrix completion (356) kernel methods (1097) dimension reduction (120) spectral clustering (305) dimensionality reduction (720) matrix sketching (61) random projection (145) leverage score sampling (22) high dimensional datum (33) sparse datum (41)

Papers

Random is Faster than Systematic in Multi-Objective Local Search AAAI 2026
Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers EACL 2026
Revisiting In-Context Learning with Long Context Language Models ACL 2025
On the Fragility of Active Learners for Text Classification EMNLP 2024
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation NAACL 2024
Asynchronous Randomized Trace Estimation AISTATS 2024
Properties of Position Matrices and Their Elections AAAI 2023
Sharper Bounds for $\ell_p$ Sensitivity Sampling ICML 2023
Kernel Quadrature with Randomly Pivoted Cholesky NIPS 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
Non-uniform Consistency of Online Learning with Random Sampling ALT 2021
Subspace Clustering through Sub-Clusters JMLR 2021
Sequential Random Sampling Revisited: Hidden Shuffle Method AISTATS 2021
Voting for the Right Answer: Adversarial Defense for Speaker Verification INTERSPEECH 2021
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions AISTATS 2020
A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading AAAI 2020
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds CVPR 2020
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020
Rehashing Kernel Evaluation in High Dimensions ICML 2019
On Fast Leverage Score Sampling and Optimal Learning NIPS 2018
Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements JMLR 2017