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

Transformers learn to implement preconditioned gradient descent for in-context learning NIPS 2023
Sketched Ridgeless Linear Regression: The Role of Downsampling ICML 2023
Differentially Private Hypothesis Testing for Linear Regression JMLR 2023
Optimal Sparse Recovery with Decision Stumps AAAI 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023
jelenasteam at SemEval-2023 Task 9: Quantification of Intimacy in Multilingual Tweets using Machine Learning Algorithms: A Comparative Study on the MINT Dataset ACL 2023
Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023
A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023
Template-Based Piecewise Affine Regression L4DC 2023
Zeroth-order Optimization with Weak Dimension Dependency COLT 2023
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression NIPS 2023
jelenasteam at SemEval-2023 Task 9: Quantification of Intimacy in Multilingual Tweets using Machine Learning Algorithms: A Comparative Study on the MINT Dataset SEMEVAL 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression NIPS 2023
Better Private Linear Regression Through Better Private Feature Selection NIPS 2023
The noise level in linear regression with dependent data NIPS 2023
Comparing and Predicting Eye-tracking Data of Mandarin and Cantonese EACL 2023
(Dis)agreement and Preference Structure are Reflected in Matching Along Distinct Acoustic-prosodic Features INTERSPEECH 2023
New Bounds for Hyperparameter Tuning of Regression Problems Across Instances NIPS 2023
An Adaptive Algorithm for Learning with Unknown Distribution Drift NIPS 2023
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners NIPS 2023
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild CVPR 2023
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression NIPS 2023
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NIPS 2023