gradient descent

Improved Dynamic Regret for Non-degenerate Functions NeurIPS 2017 Improving RANSAC-Based Segmentation Through CNN Encapsulation CVPR 2017 Learned Optimizers that Scale and Generalize ICML 2017 Learning ReLUs via Gradient Descent NeurIPS 2017 Learning to Learn without Gradient Descent by Gradient Descent ICML 2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017 Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter ICML 2017 Nonlinear Acceleration of Stochastic Algorithms NeurIPS 2017 Oracle Complexity of Second-Order Methods for Finite-Sum Problems ICML 2017 POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract) IJCAI 2017 Preventing Gradient Explosions in Gated Recurrent Units NeurIPS 2017 Programming with a Differentiable Forth Interpreter ICML 2017 Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017 Recovery Guarantees for One-hidden-layer Neural Networks ICML 2017 Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NeurIPS 2017 Sequence to Better Sequence: Continuous Revision of Combinatorial Structures ICML 2017 Sharpness, Restart and Acceleration NeurIPS 2017 Solving Most Systems of Random Quadratic Equations NeurIPS 2017 State Aware Imitation Learning NeurIPS 2017 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017 Strongly-Typed Agents are Guaranteed to Interact Safely ICML 2017 The Shattered Gradients Problem: If resnets are the answer, then what is the question? ICML 2017 Adaptive Algorithms for Online Convex Optimization with Long-term Constraints ICML 2016 A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights JMLR 2016 Algorithms and matching lower bounds for approximately-convex optimization NeurIPS 2016