conftrace_

quasi-newton method

60 papers

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Also known as

QN

Co-occurring keywords

stochastic optimization (1060) superlinear convergence (24) hessian approximation (41) convex optimization (1321) stochastic gradient descent (1091) bfgs method (5) second-order optimization (93) gradient descent (1144) convergence analysis (395) neural network (6616)

Papers

Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates AISTATS 2021
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization NIPS 2021
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence NIPS 2021
Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021
Practical Quasi-Newton Methods for Training Deep Neural Networks NIPS 2020
Quasi-Newton Solver for Robust Non-Rigid Registration CVPR 2020
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate AISTATS 2020
Quasi-Newton Trust Region Policy Optimization CORL 2019
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis AISTATS 2018
A Progressive Batching L-BFGS Method for Machine Learning ICML 2018
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values ICML 2017
Black-box Optimization with a Politician ICML 2016
A Multi-Batch L-BFGS Method for Machine Learning NIPS 2016
Softened Approximate Policy Iteration for Markov Games ICML 2016
Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016
A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization ICML 2016
Stochastic Block BFGS: Squeezing More Curvature out of Data ICML 2016
HONOR: Hybrid Optimization for NOn-convex Regularized problems NIPS 2015
Global Convergence of Online Limited Memory BFGS JMLR 2015
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NIPS 2014
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods ICML 2014
Large-scale L-BFGS using MapReduce NIPS 2014