high-dimensional setting

Learning general conditional independence structures via the neighbourhood lattice JMLR 2026 Building Conformal Prediction Intervals with Approximate Message Passing UAI 2025 Score Matching with Missing Data ICML 2025 Revisiting Differentially Private ReLU Regression NeurIPS 2024 An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022 Feature screening with kernel knockoffs AISTATS 2022 Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models IJCAI 2020 Ising Models with Latent Conditional Gaussian Variables ALT 2019 Communication-efficient Sparse Regression JMLR 2017 Variable Importance Using Decision Trees NeurIPS 2017 Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models JMLR 2016 Fast Classification Rates for High-dimensional Gaussian Generative Models NeurIPS 2015 Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NeurIPS 2015 Order-Independent Constraint-Based Causal Structure Learning JMLR 2014 Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting ICML 2014 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 The lasso, persistence, and cross-validation ICML 2013 On Learning Discrete Graphical Models using Greedy Methods NeurIPS 2011