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high-dimensional inference

48 papers

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Co-occurring keywords

bayesian inference (1904) graphical model (863) generalized linear model (138) statistical inference (146) hypothesis testing (254) variational inference (2069) markov chain monte carlo (724) asymptotic normality (66) confidence interval (145) debiased lasso (5)

Papers

Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set CLEAR 2025
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality JMLR 2023
False Discovery Proportion control for aggregated Knockoffs NIPS 2023
AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis NIPS 2023
Tree-AMP: Compositional Inference with Tree Approximate Message Passing JMLR 2023
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction JMLR 2023
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023
Sparse Markov Models for High-dimensional Inference JMLR 2023
On Model Selection Consistency of Lasso for High-Dimensional Ising Models AISTATS 2023
Non-parametric Inference Adaptive to Intrinsic Dimension CLEAR 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022
Probabilistic ODE Solutions in Millions of Dimensions ICML 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score JMLR 2022
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension NIPS 2022
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models NIPS 2022
Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence NIPS 2021
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon AISTATS 2021
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation NIPS 2021
Inference In High-dimensional Single-Index Models Under Symmetric Designs JMLR 2021
Inference for the Case Probability in High-dimensional Logistic Regression JMLR 2021
On the difficulty of unbiased alpha divergence minimization ICML 2021