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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

On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs AAAI 2025
Asymptotic Analysis of Weighted Fair Division IJCAI 2025
Asymptotic Fair Division: Chores Are Easier Than Goods IJCAI 2025
Asymptotic Extinction in Large Coordination Games AAAI 2025
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NIPS 2024
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024
Near-Optimality of Contrastive Divergence Algorithms NIPS 2024
A General Framework for the Analysis of Kernel-based Tests JMLR 2024
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks NIPS 2024
Non-splitting Neyman-Pearson Classifiers JMLR 2024
An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants JMLR 2024
Robust group and simultaneous inferences for high-dimensional single index model NIPS 2024
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023
Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture AISTATS 2023
Precise asymptotic generalization for multiclass classification with overparameterized linear models NIPS 2023
Precise Asymptotic Analysis of Deep Random Feature Models COLT 2023
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression NIPS 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation ICML 2023
Asymptotics of Network Embeddings Learned via Subsampling JMLR 2023
When Locally Linear Embedding Hits Boundary JMLR 2023
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NIPS 2022
Asymptotics of $\ell_2$ Regularized Network Embeddings NIPS 2022
Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression NIPS 2022