asymptotic consistency

LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery UAI 2025 Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework CLeaR 2025 Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters AAAI 2024 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 Tight bounds for minimum ℓ_1-norm interpolation of noisy data AISTATS 2022 Bayesian Optimization of Function Networks NeurIPS 2021 Asymptotic Consistency of α-Rényi-Approximate Posteriors JMLR 2020 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017 A General Framework for Consistency of Principal Component Analysis JMLR 2016 Learning with Relaxed Supervision NeurIPS 2015 Asymptotically consistent estimation of the number of change points in highly dependent time series ICML 2014 Consistency of Robust Kernel Density Estimators COLT 2013 Consistent Selection of Tuning Parameters via Variable Selection Stability JMLR 2013 Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Online Clustering of Processes AISTATS 2012 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Extended Bayesian Information Criteria for Gaussian Graphical Models NeurIPS 2010 Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008