conftrace_

gradient descent

1144 papers

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Also known as

GD

Co-occurring keywords

neural network (6616) neural network optimization (1293) convex optimization (1321) non-convex optimization (547) convergence rate (607) stochastic optimization (1060) convergence analysis (395) stochastic gradient descent (1091) nonconvex optimization (316) implicit bia (107)

Papers

Implicit Bias of the Step Size in Linear Diagonal Neural Networks ICML 2022
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics AAAI 2022
Large-scale Optimization of Partial AUC in a Range of False Positive Rates NIPS 2022
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback ICML 2022
On Convergence of Gradient Descent Ascent: A Tight Local Analysis ICML 2022
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations AAAI 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms NIPS 2022
Symmetry Teleportation for Accelerated Optimization NIPS 2022
Contextual Gradient Scaling for Few-Shot Learning WACV 2022
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows AAAI 2022
When Hardness of Approximation Meets Hardness of Learning JMLR 2022
On the non-universality of deep learning: quantifying the cost of symmetry NIPS 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation CVPR 2022
Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022
Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision Constraint AISTATS 2022
Globally Convergent Policy Search for Output Estimation NIPS 2022
Learning a Single Neuron for Non-monotonic Activation Functions AISTATS 2022
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization AISTATS 2022
Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022
A Momentumized, Adaptive, Dual Averaged Gradient Method JMLR 2022
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games AAAI 2022
The Implicit Bias of Benign Overfitting COLT 2022
On the Implicit Bias of Gradient Descent for Temporal Extrapolation AISTATS 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably AISTATS 2022
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training AAAI 2022