conftrace_

nonparametric estimation

98 papers

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Co-occurring keywords

density estimation (398) convergence rate (607) mutual information (724) minimax rate (87) kernel methods (1097) kernel density estimation (80) reproducing kernel hilbert space (334) nonparametric statistics (31) hidden markov model (302) causal inference (1630)

Papers

Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026
From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation JMLR 2025
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces JMLR 2024
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport JMLR 2024
Rates of convergence for density estimation with generative adversarial networks JMLR 2024
Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks JMLR 2024
Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024
Approximating mutual information of high-dimensional variables using learned representations NIPS 2024
Nonparametric Indirect Active Learning AISTATS 2023
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023
Instrumental Variable Estimation of Average Partial Causal Effects ICML 2023
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness COLT 2023
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach JMLR 2022
Mean-field nonparametric estimation of interacting particle systems COLT 2022
Robust Kernel Density Estimation with Median-of-Means principle ICML 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NIPS 2022
Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets NIPS 2022
Causal inference with treatment measurement error: a nonparametric instrumental variable approach UAI 2022
Nonparametric adaptive control and prediction: theory and randomized algorithms JMLR 2022
Change point localization in dependent dynamic nonparametric random dot product graphs JMLR 2022
Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation JMLR 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation ICML 2022
Nonparametric Neighborhood Selection in Graphical Models JMLR 2022