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

Adaptive Auxiliary Task Weighting for Reinforcement Learning NIPS 2019
Iterative Least Trimmed Squares for Mixed Linear Regression NIPS 2019
DeepView: View Synthesis With Learned Gradient Descent CVPR 2019
Learning to Learn From Noisy Labeled Data CVPR 2019
Singleshot : a scalable Tucker tensor decomposition NIPS 2019
Robust and Communication-Efficient Collaborative Learning NIPS 2019
First-order methods almost always avoid saddle points: The case of vanishing step-sizes NIPS 2019
Meta-Learning with Implicit Gradients NIPS 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent NIPS 2019
Is Deeper Better only when Shallow is Good? NIPS 2019
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input NIPS 2019
Maximum Mean Discrepancy Gradient Flow NIPS 2019
Escaping from saddle points on Riemannian manifolds NIPS 2019
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective NIPS 2019
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks NIPS 2019
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies NIPS 2019
An Improved Analysis of Training Over-parameterized Deep Neural Networks NIPS 2019
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks NIPS 2019
Towards Understanding the Importance of Shortcut Connections in Residual Networks NIPS 2019
MetaInit: Initializing learning by learning to initialize NIPS 2019
Metamers of neural networks reveal divergence from human perceptual systems NIPS 2019
Implicit Regularization in Deep Matrix Factorization NIPS 2019
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning NIPS 2019
Trivializations for Gradient-Based Optimization on Manifolds NIPS 2019
Multivariate Triangular Quantile Maps for Novelty Detection NIPS 2019