implicit bia

On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent ICML 2021 SGD Generalizes Better Than GD (And Regularization Doesn’t Help) COLT 2021 Shape Matters: Understanding the Implicit Bias of the Noise Covariance COLT 2021 The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks ICML 2021 The Implicit Bias of Minima Stability: A View from Function Space NeurIPS 2021 Uncovering Implicit Gender Bias in Narratives through Commonsense Inference EMNLP 2021 Understanding the role of importance weighting for deep learning ICLR 2021 Understanding the wiring evolution in differentiable neural architecture search AISTATS 2021 What can linearized neural networks actually say about generalization? NeurIPS 2021 Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study NeurIPS 2020 Gradient descent follows the regularization path for general losses COLT 2020 Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy NeurIPS 2020 Implicit Bias of Gradient Descent based Adversarial Training on Separable Data ICLR 2020 Kernel and Rich Regimes in Overparametrized Models COLT 2020 Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization NeurIPS 2020 Unsupervised Discovery of Implicit Gender Bias EMNLP 2020 Convergence of Gradient Descent on Separable Data AISTATS 2019 The Implicit Bias of AdaGrad on Separable Data NeurIPS 2019 The implicit bias of gradient descent on nonseparable data COLT 2019 Uniform convergence may be unable to explain generalization in deep learning NeurIPS 2019 Characterizing Implicit Bias in Terms of Optimization Geometry ICML 2018 Implicit Bias of Gradient Descent on Linear Convolutional Networks NeurIPS 2018 On the Implicit Bias of Dropout ICML 2018 The Implicit Bias of Gradient Descent on Separable Data ICLR 2018