← Keywords

convex optimization

1320 papers

Explore in graph

Also known as

ACO ADMM CO OCO

Co-occurring keywords

stochastic optimization (1060) convergence rate (606) stochastic gradient descent (1088) gradient descent (1143) online learning (1770) support vector machine (976) matrix completion (356) regret bound (1918) kernel methods (1096) sparse optimization (246)

Papers

SnapVX: A Network-Based Convex Optimization Solver JMLR 2017
Breaking the Curse of Dimensionality with Convex Neural Networks JMLR 2017
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017
Soft Margin Support Vector Classification as Buffered Probability Minimization JMLR 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017
Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities JMLR 2017
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect JMLR 2017
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization JMLR 2017
Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement JMLR 2017
Robust Discriminative Clustering with Sparse Regularizers JMLR 2017
Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017
Generalized Conditional Gradient for Sparse Estimation JMLR 2017
Tensor Decomposition with Smoothness ICML 2017
Online Learning with Local Permutations and Delayed Feedback ICML 2017
A General Characterization of the Statistical Query Complexity COLT 2017
Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$ COLT 2017
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017
CVXPY: A Python-Embedded Modeling Language for Convex Optimization JMLR 2016
A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization ICML 2016
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization AISTATS 2016
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NIPS 2016
Accelerated Stochastic Gradient Descent for Minimizing Finite Sums AISTATS 2016
Designing smoothing functions for improved worst-case competitive ratio in online optimization NIPS 2016
Convex Two-Layer Modeling with Latent Structure NIPS 2016