linear regression

Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning ICLR 2023 Transformers learn to implement preconditioned gradient descent for in-context learning NeurIPS 2023 Understanding Influence Functions and Datamodels via Harmonic Analysis ICLR 2023 Understanding Self-Distillation in the Presence of Label Noise ICML 2023 ​​What learning algorithm is in-context learning? Investigations with linear models ICLR 2023 Zeroth-order Optimization with Weak Dimension Dependency COLT 2023 An investigation of regression-based prediction of the femininity or masculinity in speech of transgender people Interspeech 2022 A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models NeurIPS 2022 A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds ICML 2022 Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources ALT 2022 Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution NeurIPS 2022 Computational Detection of Narrativity: A Comparison Using Textual Features and Reader Response COLING 2022 Conditional Linear Regression for Heterogeneous Covariances AISTATS 2022 Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering NeurIPS 2022 DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery NeurIPS 2022 Differentially private multi-party data release for linear regression UAI 2022 Differentially Private Regression with Unbounded Covariates AISTATS 2022 Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity NeurIPS 2022 Finite Sample Analysis Of Dynamic Regression Parameter Learning NeurIPS 2022 Foolish Crowds Support Benign Overfitting JMLR 2022 How catastrophic can catastrophic forgetting be in linear regression? COLT 2022 Hypothesis Testing for Differentially Private Linear Regression NeurIPS 2022 Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NeurIPS 2022 Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression ICML 2022 Learning Sparse Fixed-Structure Gaussian Bayesian Networks AISTATS 2022