conftrace_

kernel density estimation

80 papers

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Also known as

KDE

Co-occurring keywords

nonparametric estimation (98) density estimation (398) generative adversarial network (1944) kernel density estimator (10) reinforcement learning (4352) probability density (31) robust estimation (168) clustering algorithm (206) cluster tree (9) convergence rate (607)

Papers

Team ISM at CLPsych 2025: Capturing Mental Health Dynamics from Social Media Timelines using A Pretrained Large Language Model with In-Context Learning NAACL 2025
StealthAttack: Robust 3D Gaussian Splatting Poisoning via Density-Guided Illusions ICCV 2025
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges AAAI 2025
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data JMLR 2024
Adaptive Sampling for Efficient Softmax Approximation NIPS 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024
ROME: Robust Multi-Modal Density Estimator IJCAI 2024
TSDS: Data Selection for Task-Specific Model Finetuning NIPS 2024
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024
Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection WACV 2024
Defending Object Detection Models Against Image Distortions WACV 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024
Fast Private Kernel Density Estimation via Locality Sensitive Quantization ICML 2023
Adaptive Clustering Using Kernel Density Estimators JMLR 2023
Fast Approximation of Similarity Graphs with Kernel Density Estimation NIPS 2023
UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering AAAI 2023
Variational Weighting for Kernel Density Ratios NIPS 2023
Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation NIPS 2023
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NIPS 2023
Dimensionality Reduction for General KDE Mode Finding ICML 2023
KDEformer: Accelerating Transformers via Kernel Density Estimation ICML 2023
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022
A Computable Definition of the Spectral Bias AAAI 2022
Metrics of Calibration for Probabilistic Predictions JMLR 2022
The Correlation-assisted Missing Data Estimator JMLR 2022