high-dimensional inference

Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models JMLR 2026 Probabilistic Edge Modulation for High-Dimensional Causal Discovery UAI 2026 High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching AISTATS 2025 Nonconvex Theory of M-estimators with Decomposable Regularizers ICML 2025 Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set CLeaR 2025 AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis NeurIPS 2023 False Discovery Proportion control for aggregated Knockoffs NeurIPS 2023 High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023 Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality JMLR 2023 On Model Selection Consistency of Lasso for High-Dimensional Ising Models AISTATS 2023 Sparse Markov Models for High-dimensional Inference JMLR 2023 Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction JMLR 2023 Tree-AMP: Compositional Inference with Tree Approximate Message Passing JMLR 2023 A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension NeurIPS 2022 Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022 Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022 Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score JMLR 2022 Grassmann Stein Variational Gradient Descent AISTATS 2022 Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models NeurIPS 2022 Non-parametric Inference Adaptive to Intrinsic Dimension CLeaR 2022 Probabilistic ODE Solutions in Millions of Dimensions ICML 2022 Understanding the Variance Collapse of SVGD in High Dimensions ICLR 2022 DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021 Estimating the Lasso's Effective Noise JMLR 2021 Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021