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

Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent IJCAI 2020
Representations for Stable Off-Policy Reinforcement Learning ICML 2020
Efficient Dictionary Learning with Gradient Descent ICML 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods NIPS 2019
A Kernel Loss for Solving the Bellman Equation NIPS 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning AAAI 2019
GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems ICCV 2019
Controlling Neural Networks via Energy Dissipation ICCV 2019
SySCD: A System-Aware Parallel Coordinate Descent Algorithm NIPS 2019
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems JMLR 2019
Multi-Order Information for Working Set Selection of Sequential Minimal Optimization AISTATS 2019
Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019
Distributional reinforcement learning with linear function approximation AISTATS 2019
A Convergence Theory for Deep Learning via Over-Parameterization ICML 2019
The Role of Memory in Stochastic Optimization UAI 2019
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees NIPS 2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function UAI 2019
Training Neural Networks Using Features Replay NIPS 2018
On Markov Chain Gradient Descent NIPS 2018
Langevin Monte Carlo and JKO splitting COLT 2018
Convergence guarantees for a class of non-convex and non-smooth optimization problems ICML 2018
Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games ICML 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018
Convergent Tree Backup and Retrace with Function Approximation ICML 2018
On Q-learning Convergence for Non-Markov Decision Processes IJCAI 2018