Co-occurring keywords · papers mentioning both
Papers
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling
AISTATS 2018
An Alternative View: When Does SGD Escape Local Minima?
ICML 2018
An efficient distributed learning algorithm based on effective local functional approximations
JMLR 2018
An Investigation of Non-linear i-vectors for Speaker Verification
Interspeech 2018
Are ResNets Provably Better than Linear Predictors?
NeurIPS 2018
Asynchronous Decentralized Parallel Stochastic Gradient Descent
ICML 2018
Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization
JMLR 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds
COLT 2018
Batch IS NOT Heavy: Learning Word Representations From All Samples
ACL 2018
Breaking the Span Assumption Yields Fast Finite-Sum Minimization
NeurIPS 2018
Byzantine Stochastic Gradient Descent
NeurIPS 2018
Convergence diagnostics for stochastic gradient descent with constant learning rate
AISTATS 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
ICML 2018
Data-Dependent Stability of Stochastic Gradient Descent
ICML 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
ICLR 2018
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients
ICML 2018
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?
ICML 2018
Distributed Stochastic Optimization via Adaptive SGD
NeurIPS 2018
Don't Decay the Learning Rate, Increase the Batch Size
ICLR 2018
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
JMLR 2018
Escaping Saddles with Stochastic Gradients
ICML 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks
NeurIPS 2018
Exponential Convergence of Testing Error for Stochastic Gradient Methods
COLT 2018
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction
AISTATS 2018
Gradient Descent Learns Linear Dynamical Systems
JMLR 2018