linear predictor

Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models CVPR 2026 Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions ICLR 2023 Domain Adaptation under Missingness Shift AISTATS 2023 Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks NeurIPS 2023 On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NeurIPS 2023 Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity COLT 2020 Conditional Linear Regression AISTATS 2020 Gradient descent follows the regularization path for general losses COLT 2020 Linear predictor on linearly-generated data with missing values: non consistency and solutions AISTATS 2020 Are deep ResNets provably better than linear predictors? NeurIPS 2019 Are ResNets Provably Better than Linear Predictors? NeurIPS 2018 Coordinate Descent Faceoff: Primal or Dual? ALT 2018 Efficient Subpixel Refinement With Symbolic Linear Predictors CVPR 2018 Learning SMaLL Predictors NeurIPS 2018 Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity NeurIPS 2018 The Sample Complexity of Learning Linear Predictors with the Squared Loss JMLR 2015 Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013 Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits AISTATS 2012 Efficient Learning with Partially Observed Attributes JMLR 2011 Tracking the Best Linear Predictor JMLR 2001