kernel density estimation

Bandwidth Selection in Kernel Density Estimation for Model Calibration UAI 2026 Knowledge Cascade: Reverse Knowledge Distillation on Nonparametric Multivariate Functional Estimation JMLR 2026 Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World ICML 2025 Conditional Kernel Imitation Learning for Continuous State Environments L4DC 2025 Density estimation with LLMs: a geometric investigation of in-context learning trajectories ICLR 2025 Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory UAI 2025 Dynamic Similarity Graph Construction with Kernel Density Estimation ICML 2025 Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning ICLR 2025 Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges AAAI 2025 KDPE: A Kernel Density Estimation Strategy for Diffusion Policy Trajectory Selection CoRL 2025 Learning from End User Data with Shuffled Differential Privacy over Kernel Densities ICLR 2025 StealthAttack: Robust 3D Gaussian Splatting Poisoning via Density-Guided Illusions ICCV 2025 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 Adaptive Sampling for Efficient Softmax Approximation NeurIPS 2024 Ameliorate Spurious Correlations in Dataset Condensation ICML 2024 Approximate Kernel Density Estimation under Metric-based Local Differential Privacy UAI 2024 Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection WACV 2024 Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024 Defending Object Detection Models Against Image Distortions WACV 2024 Efficiently Computing Similarities to Private Datasets ICLR 2024 From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data JMLR 2024 ROME: Robust Multi-Modal Density Estimator IJCAI 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024 TSDS: Data Selection for Task-Specific Model Finetuning NeurIPS 2024