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

Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms NIPS 2020
Worst-Case Analysis for Randomly Collected Data NIPS 2020
Tree-projected gradient descent for estimating gradient-sparse parameters on graphs COLT 2020
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020
Exact expressions for double descent and implicit regularization via surrogate random design NIPS 2020
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NIPS 2020
Debiasing Averaged Stochastic Gradient Descent to handle missing values NIPS 2020
The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization JMLR 2020
Improved PAC-Bayesian Bounds for Linear Regression AAAI 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020
Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond NIPS 2020
Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder INTERSPEECH 2019
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019
Old Techniques in Differentially Private Linear Regression ALT 2019
Space lower bounds for linear prediction in the streaming model COLT 2019
List-decodable Linear Regression NIPS 2019
Active Regression via Linear-Sample Sparsification COLT 2019
Correcting the bias in least squares regression with volume-rescaled sampling AISTATS 2019
Attacking Data Transforming Learners at Training Time AAAI 2019
Fast Sparse Group Lasso NIPS 2019
On Robustness of Principal Component Regression NIPS 2019
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels UAI 2019
Determinantal Point Processes for Coresets JMLR 2019
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression NIPS 2019