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Regression

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Linear bandits with polylogarithmic minimax regret COLT 2024
Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024
Scalable Learning of Item Response Theory Models AISTATS 2024
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence COLT 2024
On Convex Optimization with Semi-Sensitive Features COLT 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024
EM for Mixture of Linear Regression with Clustered Data AISTATS 2024
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers AISTATS 2024
On Parameter Estimation in Deviated Gaussian Mixture of Experts AISTATS 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data AISTATS 2024
Random Oscillators Network for Time Series Processing AISTATS 2024
Choosing the p in Lp Loss: Adaptive Rates for Symmetric Mean Estimation COLT 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations AISTATS 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024
Private Learning with Public Features AISTATS 2024
Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024
Semi-supervised Inference for Block-wise Missing Data without Imputation JMLR 2024
Multiple-output composite quantile regression through an optimal transport lens COLT 2024
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness SEMEVAL 2024
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss COLT 2024
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression COLT 2024