Co-occurring keywords · papers mentioning both
Papers
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
NeurIPS 2019
Bayesian Optimization of Composite Functions
ICML 2019
DTWNet: a Dynamic Time Warping Network
NeurIPS 2019
Generalized Majorization-Minimization for Non-Convex Optimization
IJCAI 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
NeurIPS 2019
Gradient-based Adaptive Markov Chain Monte Carlo
NeurIPS 2019
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number
ICML 2019
Necessary and Sufficient Geometries for Gradient Methods
NeurIPS 2019
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
ICML 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy
AISTATS 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
ICML 2019
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
NeurIPS 2019
Optimal Mini-Batch and Step Sizes for SAGA
ICML 2019
Provable Gradient Variance Guarantees for Black-Box Variational Inference
NeurIPS 2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
IJCAI 2019
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
ICML 2019
Reducing Noise in GAN Training with Variance Reduced Extragradient
NeurIPS 2019
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
ICML 2019
Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics
AISTATS 2019
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
AAAI 2019
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
ICML 2019
Sketched Iterative Algorithms for Structured Generalized Linear Models
IJCAI 2019
SpHMC: Spectral Hamiltonian Monte Carlo
AAAI 2019
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization
COLT 2019
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
NeurIPS 2019