Co-occurring keywords · papers mentioning both
Papers
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
ICLR 2022
Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets
ICLR 2022
Learning from Label Proportions by Learning with Label Noise
NeurIPS 2022
Learning sparse features can lead to overfitting in neural networks
NeurIPS 2022
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
NeurIPS 2022
Learning to Transfer with von Neumann Conditional Divergence
AAAI 2022
Learning with convolution and pooling operations in kernel methods
NeurIPS 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape
AISTATS 2022
Memorize to generalize: on the necessity of interpolation in high dimensional linear regression
COLT 2022
Model Zoo: A Growing Brain That Learns Continually
ICLR 2022
Multi-scale Feature Learning Dynamics: Insights for Double Descent
ICML 2022
On Learning Fairness and Accuracy on Multiple Subgroups
NeurIPS 2022
Online Decision Mediation
NeurIPS 2022
On Sample Optimality in Personalized Collaborative and Federated Learning
NeurIPS 2022
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
ICLR 2022
On the Generalization of Representations in Reinforcement Learning
AISTATS 2022
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
AISTATS 2022
Personalized Federated Learning via Variational Bayesian Inference
ICML 2022
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression
NeurIPS 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
NeurIPS 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment
AAAI 2022
Sharpness-Aware Training for Free
NeurIPS 2022
Spectral Pruning for Recurrent Neural Networks
AISTATS 2022
The role of optimization geometry in single neuron learning
AISTATS 2022
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods
ICLR 2022