Co-occurring keywords · papers mentioning both
Papers
SGD with Large Step Sizes Learns Sparse Features
ICML 2023
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems
COLT 2023
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
ICML 2023
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models
AAAI 2023
Actor-critic is implicitly biased towards high entropy optimal policies
ICLR 2022
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
NeurIPS 2022
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks
NeurIPS 2022
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
ICLR 2022
Does Momentum Change the Implicit Regularization on Separable Data?
NeurIPS 2022
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
ICLR 2022
Energy-Based Latent Aligner for Incremental Learning
CVPR 2022
Implicit Gradient Alignment in Distributed and Federated Learning
AAAI 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
ICML 2022
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions
NeurIPS 2022
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
ICML 2022
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
COLT 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
AISTATS 2022
On the Frequency-bias of Coordinate-MLPs
NeurIPS 2022
Robust Training under Label Noise by Over-parameterization
ICML 2022
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing
EMNLP 2022
Stochastic Training is Not Necessary for Generalization
ICLR 2022
Strength of Minibatch Noise in SGD
ICLR 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
NeurIPS 2022
Understanding Gradient Descent on the Edge of Stability in Deep Learning
ICML 2022
Why neural networks find simple solutions: The many regularizers of geometric complexity
NeurIPS 2022