conftrace_

linear predictor

18 papers

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Co-occurring keywords

local minimum (61) neural network (6616) residual network (211) optimization landscape (39) empirical risk minimization (352) sample complexity (1169) transfer learning (5449) online learning (1777) missing value (24) keypoint detection (255)

Papers

Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks NIPS 2023
Domain Adaptation under Missingness Shift AISTATS 2023
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NIPS 2023
Gradient descent follows the regularization path for general losses COLT 2020
Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity COLT 2020
Linear predictor on linearly-generated data with missing values: non consistency and solutions AISTATS 2020
Conditional Linear Regression AISTATS 2020
Are deep ResNets provably better than linear predictors? NIPS 2019
Are ResNets Provably Better than Linear Predictors? NIPS 2018
Coordinate Descent Faceoff: Primal or Dual? ALT 2018
Learning SMaLL Predictors NIPS 2018
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity NIPS 2018
Efficient Subpixel Refinement With Symbolic Linear Predictors CVPR 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