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asymptotic analysis

86 papers

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Co-occurring keywords

approximate message passing (39) bayesian inference (1907) model selection (456) statistical learning (351) high-dimensional regression (142) maximum likelihood estimation (233) high-dimensional statistics (145) generalization error (285) random matrix theory (63) maximum likelihood (255)

Papers

Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance NIPS 2019
A Random Matrix Analysis and Improvement of Semi-Supervised Learning for Large Dimensional Data JMLR 2018
An Estimation and Analysis Framework for the Rasch Model ICML 2018
Approximate message passing for amplitude based optimization ICML 2018
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks NIPS 2018
A Universal Analysis of Large-Scale Regularized Least Squares Solutions NIPS 2017
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning JMLR 2017
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits AISTATS 2017
A General Framework for Consistency of Principal Component Analysis JMLR 2016
Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016
Clustering with Bregman Divergences: an Asymptotic Analysis NIPS 2016
The Asymptotic Performance of Linear Echo State Neural Networks JMLR 2016
Flexible High-Dimensional Classification Machines and Their Asymptotic Properties JMLR 2015
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements NIPS 2015
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014
Sparsity and the Truncated $l^2$-norm AISTATS 2014
Random Bayesian networks with bounded indegree AISTATS 2014
Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables JMLR 2014
Distributions of Angles in Random Packing on Spheres JMLR 2013
Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NIPS 2013
Factorized Asymptotic Bayesian Inference for Latent Feature Models NIPS 2013
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction ACML 2013
Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012
Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012