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gradient descent

1,421 papers

GD

Papers

Oracle Complexity in Nonsmooth Nonconvex Optimization NeurIPS 2021 **Paper retracted by author request (see pdf for retraction notice from the authors)** Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping COLT 2021 Parametric Complexity Bounds for Approximating PDEs with Neural Networks NeurIPS 2021 Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection Interspeech 2021 Path Length Bounds for Gradient Descent and Flow JMLR 2021 PID-Based Approach to Adversarial Attacks AAAI 2021 Powerpropagation: A sparsity inducing weight reparameterisation NeurIPS 2021 Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization NeurIPS 2021 Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels ICML 2021 Rank-one matrix estimation: analytic time evolution of gradient descent dynamics COLT 2021 Receptive Field Size Optimization With Continuous Time Pooling WACV 2021 Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network AISTATS 2021 Relaxing Local Robustness NeurIPS 2021 Replica Exchange for Non-Convex Optimization JMLR 2021 Representational aspects of depth and conditioning in normalizing flows ICML 2021 Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives ICML 2021 Reverse engineering learned optimizers reveals known and novel mechanisms NeurIPS 2021 Revisiting Locally Supervised Learning: an Alternative to End-to-end Training ICLR 2021 Robust Regression Revisited: Acceleration and Improved Estimation Rates NeurIPS 2021 R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina ICCV 2021 S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks NeurIPS 2021 SA-BNN: State-Aware Binary Neural Network AAAI 2021 SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization NeurIPS 2021 Scalable Rule-Based Representation Learning for Interpretable Classification NeurIPS 2021 Score-based Generative Neural Networks for Large-Scale Optimal Transport NeurIPS 2021