conftrace_

high dimensional

12 papers

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Co-occurring keywords

kernel methods (1097) high-dimensional analysis (33) high-dimensional statistics (145) feature selection (649) gradient boosted tree (13) linear program (26) generative model evaluation (17) bias reduction (48) asymptotic theory (5) gaussian model (13)

Papers

A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data NIPS 2024
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions ICML 2023
Robust covariance estimation with missing values and cell-wise contamination NIPS 2023
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians ALT 2021
How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021
Scalable Feature Selection for (Multitask) Gradient Boosted Trees AISTATS 2020
Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid AAAI 2020
FANNG: Fast Approximate Nearest Neighbour Graphs CVPR 2016
Transition Matrix Estimation in High Dimensional Time Series ICML 2013
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012