Pages that link to "Item:Q2196223"

The following pages link to Just interpolate: kernel ``ridgeless'' regression can generalize (Q2196223):

Displaying 45 items.

• Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates (Q830480) (← links)
• Linearized two-layers neural networks in high dimension (Q2039801) (← links)
• On the robustness of minimum norm interpolators and regularized empirical risk minimizers (Q2091842) (← links)
• The interpolation phase transition in neural networks: memorization and generalization under lazy training (Q2105197) (← links)
• A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids (Q2105198) (← links)
• Canonical thresholding for nonsparse high-dimensional linear regression (Q2119237) (← links)
• Surprises in high-dimensional ridgeless least squares interpolation (Q2131262) (← links)
• Generalization error of random feature and kernel methods: hypercontractivity and kernel matrix concentration (Q2134105) (← links)
• Learning from non-random data in Hilbert spaces: an optimal recovery perspective (Q2143167) (← links)
• A precise high-dimensional asymptotic theory for boosting and minimum-\(\ell_1\)-norm interpolated classifiers (Q2148995) (← links)
• Improved complexities for stochastic conditional gradient methods under interpolation-like conditions (Q2670499) (← links)
• Kernel approximation: from regression to interpolation (Q2801324) (← links)
• (Q4999109) (← links)
• Diversity Sampling is an Implicit Regularization for Kernel Methods (Q4999358) (← links)
• Generalization Error of Minimum Weighted Norm and Kernel Interpolation (Q4999364) (← links)
• A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent* (Q5020045) (← links)
• Deep Neural Networks, Generic Universal Interpolation, and Controlled ODEs (Q5037577) (← links)
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• On the proliferation of support vectors in high dimensions* (Q5055426) (← links)
• Theoretical issues in deep networks (Q5073211) (← links)
• Benign overfitting in linear regression (Q5073215) (← links)
• Overparameterization and Generalization Error: Weighted Trigonometric Interpolation (Q5088865) (← links)
• (Q5148955) (← links)
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• A Multi-resolution Theory for Approximating Infinite-<i>p</i>-Zero-<i>n</i>: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff (Q5857114) (← links)
• Multilevel Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data (Q5857926) (← links)
• A Unifying Tutorial on Approximate Message Passing (Q5863992) (← links)
• For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability (Q5873932) (← links)
• Mehler’s Formula, Branching Process, and Compositional Kernels of Deep Neural Networks (Q5881138) (← links)
• Deep learning: a statistical viewpoint (Q5887827) (← links)
• Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation (Q5887828) (← links)
• Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits (Q6044638) (← links)
• HARFE: hard-ridge random feature expansion (Q6049834) (← links)
• On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions (Q6070298) (← links)
• A Universal Trade-off Between the Model Size, Test Loss, and Training Loss of Linear Predictors (Q6090836) (← links)
• SVRG meets AdaGrad: painless variance reduction (Q6097116) (← links)
• Benign Overfitting and Noisy Features (Q6185582) (← links)
• Tractability from overparametrization: the example of the negative perceptron (Q6193766) (← links)
• Benign overfitting and adaptive nonparametric regression (Q6582360) (← links)
• Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks (Q6590448) (← links)
• Convergence analysis for over-parameterized deep learning (Q6608346) (← links)
• New equivalences between interpolation and SVMs: kernels and structured features (Q6617269) (← links)
• Deep networks for system identification: a survey (Q6659190) (← links)