implicit regularization

Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020 Implicit Regularization and Convergence for Weight Normalization NeurIPS 2020 Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process COLT 2020 Implicit Regularization in Deep Learning May Not Be Explainable by Norms NeurIPS 2020 Implicit Regularization of Random Feature Models ICML 2020 Observational Overfitting in Reinforcement Learning ICLR 2020 On Implicit Regularization in $β$-VAEs ICML 2020 Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020 Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success JMLR 2020 The Implicit and Explicit Regularization Effects of Dropout ICML 2020 The Implicit Regularization of Stochastic Gradient Flow for Least Squares ICML 2020 The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization JMLR 2020 The Statistical Complexity of Early-Stopped Mirror Descent NeurIPS 2020 Gradient descent aligns the layers of deep linear networks ICLR 2019 Implicit Regularization for Optimal Sparse Recovery NeurIPS 2019 Implicit Regularization in Deep Matrix Factorization NeurIPS 2019 Implicit Regularization of Accelerated Methods in Hilbert Spaces NeurIPS 2019 Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks NeurIPS 2019 Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization ICLR 2019 Towards Understanding Regularization in Batch Normalization ICLR 2019 Traditional and Heavy Tailed Self Regularization in Neural Network Models ICML 2019 Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced NeurIPS 2018 Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations COLT 2018 Connecting Optimization and Regularization Paths NeurIPS 2018 Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion ICML 2018