← Optimization
Mathematics & Optimization › Optimization ›

Continuous Optimization

3907 directly classified papers

Papers per year

Papers

Exact tensor completion with sum-of-squares COLT 2017
The Sample Complexity of Optimizing a Convex Function COLT 2017
A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms JMLR 2017
A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos CVPR 2017
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach AISTATS 2017
Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017
Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement ICML 2017
Lazifying Conditional Gradient Algorithms ICML 2017
Learning Local Dependence In Ordered Data JMLR 2017
Group Sparse Optimization via lp,q Regularization JMLR 2017
Memory Efficient Kernel Approximation JMLR 2017
A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification JMLR 2017
SnapVX: A Network-Based Convex Optimization Solver JMLR 2017
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017
Gap Safe Screening Rules for Sparsity Enforcing Penalties JMLR 2017
Kernel Partial Least Squares for Stationary Data JMLR 2017
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality COLT 2017
Computationally Efficient Robust Sparse Estimation in High Dimensions COLT 2017
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NIPS 2017
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NIPS 2017
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NIPS 2017
Solving Most Systems of Random Quadratic Equations NIPS 2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data NIPS 2017
A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017
CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics NSDI 2017