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

A Contrast Function and Algorithm for Blind Separation of Audio Signals INTERSPEECH 2017
Learning ReLUs via Gradient Descent NIPS 2017
Straggler Mitigation in Distributed Optimization Through Data Encoding NIPS 2017
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures ICML 2017
Oracle Complexity of Second-Order Methods for Finite-Sum Problems ICML 2017
Differentially Private Empirical Risk Minimization Revisited: Faster and More General NIPS 2017
Efficient Private ERM for Smooth Objectives IJCAI 2017
Improved Dynamic Regret for Non-degenerate Functions NIPS 2017
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NIPS 2017
Diving into the shallows: a computational perspective on large-scale shallow learning NIPS 2017
POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract) IJCAI 2017
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017
Improving RANSAC-Based Segmentation Through CNN Encapsulation CVPR 2017
Recovery Guarantees for One-hidden-layer Neural Networks ICML 2017
Learned Optimizers that Scale and Generalize ICML 2017
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis ICML 2017
Alternating minimization for dictionary learning with random initialization NIPS 2017
Convergence of Gradient EM on Multi-component Mixture of Gaussians NIPS 2017
Gradient descent GAN optimization is locally stable NIPS 2017
State Aware Imitation Learning NIPS 2017
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NIPS 2017
Solving Most Systems of Random Quadratic Equations NIPS 2017
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NIPS 2017
Preventing Gradient Explosions in Gated Recurrent Units NIPS 2017
Nonlinear Acceleration of Stochastic Algorithms NIPS 2017