Co-occurring keywords · papers mentioning both
Papers
Neural Networks as Kernel Learners: The Silent Alignment Effect
ICLR 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
NeurIPS 2022
The Correlation-assisted Missing Data Estimator
JMLR 2022
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods
ICLR 2022
Adversarial Regression with Doubly Non-negative Weighting Matrices
NeurIPS 2021
Certainty Equivalent Perception-Based Control
L4DC 2021
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
NeurIPS 2021
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees
L4DC 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model
NeurIPS 2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
NeurIPS 2021
On random kernels of residual architectures
UAI 2021
On the Equivalence between Neural Network and Support Vector Machine
NeurIPS 2021
Out-of-Distribution Generalization in Kernel Regression
NeurIPS 2021
Scaling Neural Tangent Kernels via Sketching and Random Features
NeurIPS 2021
Decentralised Learning with Random Features and Distributed Gradient Descent
ICML 2020
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
ICML 2020
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
ICLR 2020
Interpreting Robust Optimization via Adversarial Influence Functions
ICML 2020
On the Similarity between the Laplace and Neural Tangent Kernels
NeurIPS 2020
Sample complexity and effective dimension for regression on manifolds
NeurIPS 2020
Sparse Shrunk Additive Models
ICML 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
ICML 2020
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization
ICML 2020
Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition
NeurIPS 2020
Kernel Machines Beat Deep Neural Networks on Mask-Based Single-Channel Speech Enhancement
Interspeech 2019