nonparametric estimation

Deconvolution in unlinked linear models JMLR 2026 Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026 Instrumental variables system identification with L^p consistency L4DC 2026 Learning general conditional independence structures via the neighbourhood lattice JMLR 2026 Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation? COLT 2026 Collaborative likelihood-ratio estimation over graphs JMLR 2025 Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps AISTATS 2025 Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation JMLR 2025 Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal ICML 2025 From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025 Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation AISTATS 2025 Nonparametric estimation of Hawkes processes with RKHSs AISTATS 2025 A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NeurIPS 2024 Approximating mutual information of high-dimensional variables using learned representations NeurIPS 2024 Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces JMLR 2024 Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator JMLR 2024 Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024 Model-based Reinforcement Learning for Confounded POMDPs ICML 2024 Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks JMLR 2024 Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024 Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport JMLR 2024 Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024 Rates of convergence for density estimation with generative adversarial networks JMLR 2024 ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift ICLR 2024 Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024