Co-occurring keywords · papers mentioning both
Papers
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
NeurIPS 2019
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging
ICML 2019
Stochastic algorithms with descent guarantees for ICA
AISTATS 2019
Stochastic Bandits with Context Distributions
NeurIPS 2019
Stochastic Canonical Correlation Analysis
JMLR 2019
Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference
ICCV 2019
Stochastic Frank-Wolfe for Composite Convex Minimization
NeurIPS 2019
Stochastic Goal Recognition Design
AAAI 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
ICML 2019
Stochastic Negative Mining for Learning with Large Output Spaces
AISTATS 2019
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
ICML 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations
ICLR 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
NeurIPS 2019
Stochastic Submodular Maximization with Performance-Dependent Item Costs
AAAI 2019
Stochastic Variance-Reduced Cubic Regularization Methods
JMLR 2019
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization
NeurIPS 2019
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
NeurIPS 2019
The Kelly Growth Optimal Portfolio with Ensemble Learning
AAAI 2019
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
NeurIPS 2019
The Role of Memory in Stochastic Optimization
UAI 2019
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging
NeurIPS 2019
Thinning for Accelerating the Learning of Point Processes
NeurIPS 2019
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems
JMLR 2019
Thresholding Bandit with Optimal Aggregate Regret
NeurIPS 2019
Towards closing the gap between the theory and practice of SVRG
NeurIPS 2019