conftrace_

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

Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NIPS 2024
Deep linear networks for regression are implicitly regularized towards flat minima NIPS 2024
Using Noise to Infer Aspects of Simplicity Without Learning NIPS 2024
Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks AISTATS 2024
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity AISTATS 2024
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection IJCAI 2024
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion NIPS 2024
Improving Generalization and Convergence by Enhancing Implicit Regularization NIPS 2024
Understanding Surprising Generalization Phenomena in Deep Learning AAAI 2024
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics NIPS 2024
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NIPS 2024
Why Do We Need Weight Decay in Modern Deep Learning? NIPS 2024
Implicit Regularization Paths of Weighted Neural Representations NIPS 2024
NoisyMix: Boosting Model Robustness to Common Corruptions AISTATS 2024
Implicit Jacobian regularization weighted with impurity of probability output ICML 2023
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent ICML 2023
Random Teachers are Good Teachers ICML 2023
A Unified Approach to Controlling Implicit Regularization via Mirror Descent JMLR 2023
Incremental Learning in Diagonal Linear Networks JMLR 2023
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models AAAI 2023
Implicit Regularization in Over-Parameterized Support Vector Machine NIPS 2023
SGD with Large Step Sizes Learns Sparse Features ICML 2023
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing NIPS 2023
Deterministic equivalent and error universality of deep random features learning ICML 2023