conftrace_

linear regression

282 papers

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Co-occurring keywords

differential privacy (1016) convex optimization (1321) logistic regression (386) high-dimensional regression (142) feature selection (649) ridge regression (134) stochastic gradient descent (1091) least square (101) sample complexity (1169) robust regression (79)

Papers

A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023
A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023
Optimal Sparse Recovery with Decision Stumps AAAI 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression NIPS 2023
Robust Linear Regression for General Feature Distribution AISTATS 2023
Transformers learn to implement preconditioned gradient descent for in-context learning NIPS 2023
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime AISTATS 2023
Regularization properties of adversarially-trained linear regression NIPS 2023
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression NIPS 2023
Number Theory Meets Linguistics: Modelling Noun Pluralisation Across 1497 Languages Using 2-adic Metrics IJCNLP 2022
Differentially Private Regression with Unbounded Covariates AISTATS 2022
Online Active Regression ICML 2022
Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022
Differentially private multi-party data release for linear regression UAI 2022
Computational Detection of Narrativity: A Comparison Using Textual Features and Reader Response COLING 2022
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression ICML 2022
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NIPS 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering NIPS 2022
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity NIPS 2022
Unbiased estimators for random design regression JMLR 2022
(Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping COLT 2022
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks AISTATS 2022
Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution NIPS 2022
The Implicit Bias of Benign Overfitting COLT 2022
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models NIPS 2022