gradient descent

Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data ICLR 2023 Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability NeurIPS 2023 Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks JMLR 2023 Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data NeurIPS 2023 Implicit Regularization for Group Sparsity ICLR 2023 Implicit Regularization in Over-Parameterized Support Vector Machine NeurIPS 2023 Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression ICML 2023 Intractability of Learning the Discrete Logarithm with Gradient-Based Methods ACML 2023 Iterative Approximate Cross-Validation ICML 2023 Landscape Learning for Neural Network Inversion ICCV 2023 Learning Fractals by Gradient Descent AAAI 2023 Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective NeurIPS 2023 Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets ICLR 2023 Learning Mixtures of Gaussians Using the DDPM Objective NeurIPS 2023 Learning the Positions in CountSketch ICLR 2023 Learning threshold neurons via edge of stability NeurIPS 2023 Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization ALT 2023 Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies ICML 2023 Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization AISTATS 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Linear Regularizers Enforce the Strict Saddle Property AAAI 2023 Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent ICLR 2023 Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability ICML 2023 Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023 Low Tensor Rank Learning of Neural Dynamics NeurIPS 2023