Co-occurring keywords · papers mentioning both
Papers
An Accelerated DFO Algorithm for Finite-sum Convex Functions
ICML 2020
An adaptive stochastic optimization algorithm for resource allocation
ALT 2020
An Investigation Into the Stochasticity of Batch Whitening
CVPR 2020
A Simple Online Algorithm for Competing with Dynamic Comparators
UAI 2020
A simpler approach to accelerated optimization: iterative averaging meets optimism
ICML 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
AAAI 2020
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm
NeurIPS 2020
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms
JMLR 2020
Bandit Linear Control
NeurIPS 2020
Bandit Samplers for Training Graph Neural Networks
NeurIPS 2020
Bayesian Learning with Adaptive Load Allocation Strategies
L4DC 2020
Beyond Network Pruning: a Joint Search-and-Training Approach
IJCAI 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
NeurIPS 2020
Black-Box Optimization with Local Generative Surrogates
NeurIPS 2020
Budget-Constrained Bandits over General Cost and Reward Distributions
AISTATS 2020
Byzantine Resilient Distributed Multi-Task Learning
NeurIPS 2020
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls
AISTATS 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
ICML 2020
Conditional gradient methods for stochastically constrained convex minimization
ICML 2020
Delay-Adaptive Distributed Stochastic Optimization
AAAI 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems
AAAI 2020
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints
RSS 2020
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
AISTATS 2020
Efficient improper learning for online logistic regression
COLT 2020
Efficient Projection-free Algorithms for Saddle Point Problems
NeurIPS 2020