asymptotic analysis

When Locally Linear Embedding Hits Boundary JMLR 2023 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022 Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NeurIPS 2022 Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources ALT 2022 Asymptotics of ℓ_2 Regularized Network Embeddings NeurIPS 2022 Efficiency Ordering of Stochastic Gradient Descent NeurIPS 2022 Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression NeurIPS 2022 Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022 A Computationally Efficient Method for Learning Exponential Family Distributions NeurIPS 2021 Analysis of one-hidden-layer neural networks via the resolvent method NeurIPS 2021 A Precise Performance Analysis of Support Vector Regression ICML 2021 Asymptotics of representation learning in finite Bayesian neural networks NeurIPS 2021 Asymptotics of Ridge(less) Regression under General Source Condition AISTATS 2021 Exact Asymptotics for Linear Quadratic Adaptive Control JMLR 2021 Large-width functional asymptotics for deep Gaussian neural networks ICLR 2021 On the Inherent Regularization Effects of Noise Injection During Training ICML 2021 PCA Initialization for Approximate Message Passing in Rotationally Invariant Models NeurIPS 2021 Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies ICML 2021 The Semi-Random Satisfaction of Voting Axioms NeurIPS 2021 All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NeurIPS 2020 An Asymptotic Rate for the LASSO Loss AISTATS 2020 Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020 Generalization Error of Generalized Linear Models in High Dimensions ICML 2020 Prediction regions through Inverse Regression JMLR 2020 Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables JMLR 2020