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

Online Positive and Unlabeled Learning IJCAI 2020
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss COLT 2020
Identifying Mechanical Models of Unknown Objects with Differentiable Physics Simulations L4DC 2020
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020
Learning Behaviors with Uncertain Human Feedback UAI 2020
Learning a Single Neuron with Gradient Methods COLT 2020
Tree-projected gradient descent for estimating gradient-sparse parameters on graphs COLT 2020
Learning Over-Parametrized Two-Layer Neural Networks beyond NTK COLT 2020
Gradient descent follows the regularization path for general losses COLT 2020
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond COLT 2020
How to Trap a Gradient Flow COLT 2020
Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent COLT 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization ICML 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020
Optimization and Analysis of the pAp@k Metric for Recommender Systems ICML 2020
Stochastic Loss Function AAAI 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking CVPR 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization L4DC 2020
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks AISTATS 2020
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers JMLR 2020
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion JMLR 2020
Exponentiated Gradient Meets Gradient Descent ALT 2020
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks IJCAI 2020