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

An Investigation into Neural Net Optimization via Hessian Eigenvalue Density ICML 2019
Iterative Linearized Control: Stable Algorithms and Complexity Guarantees ICML 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search ICML 2019
Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019
Accelerate Learning of Deep Hashing With Gradient Attention ICCV 2019
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization AAAI 2019
Predicting Hurricane Trajectories Using a Recurrent Neural Network AAAI 2019
A Flexible Convolutional Solver for Fast Style Transfers CVPR 2019
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions CVPR 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution NIPS 2019
Complexity of Highly Parallel Non-Smooth Convex Optimization NIPS 2019
Competitive Gradient Descent NIPS 2019
Implicit Regularization for Optimal Sparse Recovery NIPS 2019
Shadowing Properties of Optimization Algorithms NIPS 2019
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks NIPS 2019
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks NIPS 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NIPS 2019
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals NIPS 2019
Communication trade-offs for Local-SGD with large step size NIPS 2019
Acceleration via Symplectic Discretization of High-Resolution Differential Equations NIPS 2019
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models NIPS 2019
Uniform convergence may be unable to explain generalization in deep learning NIPS 2019
Provable Non-linear Inductive Matrix Completion NIPS 2019