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implicit regularization

93 papers

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Co-occurring keywords

gradient descent (1144) stochastic gradient descent (1091) neural network (6616) neural network optimization (1293) deep neural network (1803) gradient flow (142) ridge regression (134) matrix factorization (529) matrix sensing (24) stochastic differential equation (181)

Papers

Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing NIPS 2023
Implicit Regularization in Over-Parameterized Support Vector Machine NIPS 2023
Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing COLT 2023
Incremental Learning in Diagonal Linear Networks JMLR 2023
Pose-Free Neural Radiance Fields via Implicit Pose Regularization ICCV 2023
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability NIPS 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization NIPS 2023
On the spectral bias of two-layer linear networks NIPS 2023
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization NIPS 2023
Implicit Regularization Towards Rank Minimization in ReLU Networks ALT 2023
Energy-Based Latent Aligner for Incremental Learning CVPR 2022
On the Frequency-bias of Coordinate-MLPs NIPS 2022
Implicit Gradient Alignment in Distributed and Federated Learning AAAI 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks ICML 2022
Robust Training under Label Noise by Over-parameterization ICML 2022
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions NIPS 2022
Understanding Gradient Descent on the Edge of Stability in Deep Learning ICML 2022
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing EMNLP 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis NIPS 2022
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization ICML 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably AISTATS 2022
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks NIPS 2022
Does Momentum Change the Implicit Regularization on Separable Data? NIPS 2022
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent NIPS 2022
Implicit Regularization via Neural Feature Alignment AISTATS 2021