implicit bia

On Implicit Bias in Overparameterized Bilevel Optimization ICML 2022 On Margin Maximization in Linear and ReLU Networks NeurIPS 2022 On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias NeurIPS 2022 On the Implicit Bias of Gradient Descent for Temporal Extrapolation AISTATS 2022 Power-Law Escape Rate of SGD ICML 2022 Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs EMNLP 2022 Reconstructing Training Data From Trained Neural Networks NeurIPS 2022 Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond COLT 2022 The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program ICLR 2022 The Implicit Bias of Benign Overfitting COLT 2022 The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks JMLR 2022 The Neural Race Reduction: Dynamics of Abstraction in Gated Networks ICML 2022 Towards Understanding Sharpness-Aware Minimization ICML 2022 Training invariances and the low-rank phenomenon: beyond linear networks ICLR 2022 Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias ICLR 2022 What Happens after SGD Reaches Zero Loss? --A Mathematical Framework ICLR 2022 Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections ICML 2021 A unifying view on implicit bias in training linear neural networks ICLR 2021 Characterizing the implicit bias via a primal-dual analysis ALT 2021 Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate ICLR 2021 Implicit Bias of Linear RNNs ICML 2021 Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity NeurIPS 2021 Learning with Gradient Descent and Weakly Convex Losses AISTATS 2021 Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization AISTATS 2021 On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks ICML 2021