conftrace_

convergence guarantee

169 papers

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Co-occurring keywords

stochastic gradient descent (1091) stochastic optimization (1060) gradient descent (1144) non-convex optimization (547) convergence analysis (395) federated learning (1333) reinforcement learning (4352) neural network optimization (1293) off-policy learning (228) neural network (6616)

Papers

An Off-policy Policy Gradient Theorem Using Emphatic Weightings NIPS 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport NIPS 2018
Decoupled Parallel Backpropagation with Convergence Guarantee ICML 2018
Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs IJCAI 2018
An Analysis of Categorical Distributional Reinforcement Learning AISTATS 2018
Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent NIPS 2017
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis ICML 2017
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks ICML 2017
A ranking approach to global optimization ICML 2016
Provably manipulation-resistant reputation systems COLT 2016
Scalable Adaptive Stochastic Optimization Using Random Projections NIPS 2016
Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015
On Convergence of Emphatic Temporal-Difference Learning COLT 2015
A Geometric Algorithm for Scalable Multiple Kernel Learning AISTATS 2014
Bias in Natural Actor-Critic Algorithms ICML 2014
Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014
The Fixed Points of Off-Policy TD NIPS 2011
Speedy Q-Learning NIPS 2011