Co-occurring keywords · papers mentioning both
Papers
Stochastic Online AUC Maximization
NeurIPS 2016
Stochastic Optimization for Large-scale Optimal Transport
NeurIPS 2016
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares
ICML 2016
Stochastic Structured Prediction under Bandit Feedback
NeurIPS 2016
Stochastic Three-Composite Convex Minimization
NeurIPS 2016
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning
ICML 2016
Stochastic Variational Inference for the HDP-HMM
AISTATS 2016
The Multi-fidelity Multi-armed Bandit
NeurIPS 2016
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
NeurIPS 2016
Tracking the Best Expert in Non-stationary Stochastic Environments
NeurIPS 2016
Variance-Reduced and Projection-Free Stochastic Optimization
ICML 2016
Variance Reduction in Stochastic Gradient Langevin Dynamics
NeurIPS 2016
Adaptive Stochastic Alternating Direction Method of Multipliers
ICML 2015
Adaptive Stochastic Optimization: From Sets to Paths
NeurIPS 2015
Addressing Constraint Robustness to Torque Errors in Task-Space Inverse Dynamics
RSS 2015
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
ICCV 2015
A Scalable Algorithm for Structured Kernel Feature Selection
AISTATS 2015
Beyond Convexity: Stochastic Quasi-Convex Optimization
NeurIPS 2015
Building Proteins in a Day: Efficient 3D Molecular Reconstruction
CVPR 2015
Cascading Bandits: Learning to Rank in the Cascade Model
ICML 2015
Cheap Bandits
ICML 2015
Combinatorial Cascading Bandits
NeurIPS 2015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
NeurIPS 2015
Convergence rates of sub-sampled Newton methods
NeurIPS 2015
Copula variational inference
NeurIPS 2015