Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
8
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12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
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'25
Papers (including subtopics)
Linear Convergence with Condition Number Independent Access of Full Gradients
NeurIPS 2013
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
NeurIPS 2013
Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty
NeurIPS 2013
On Algorithms for Sparse Multi-factor NMF
NeurIPS 2013
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit
CVPR 2013
On Decomposing the Proximal Map
NeurIPS 2013
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization
NeurIPS 2013
Optimization Problems for Fast AAM Fitting in-the-Wild
ICCV 2013
Optimized Pedestrian Detection for Multiple and Occluded People
CVPR 2013
Phase Retrieval using Alternating Minimization
NeurIPS 2013
Predicting Parameters in Deep Learning
NeurIPS 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
NeurIPS 2013
Sharp Generalization Error Bounds for Randomly-projected Classifiers
ICML 2013
Stochastic Optimization of PCA with Capped MSG
NeurIPS 2013
Supervised Sparse Analysis and Synthesis Operators
NeurIPS 2013
Texture Enhanced Image Denoising via Gradient Histogram Preservation
CVPR 2013
The Episolar Constraint: Monocular Shape from Shadow Correspondence
CVPR 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
NeurIPS 2013
Understanding Dropout
NeurIPS 2013
Variance Reduction for Stochastic Gradient Optimization
NeurIPS 2013
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements
NeurIPS 2013
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
AISTATS 2012
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case
ACML 2012
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
NeurIPS 2012
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
NeurIPS 2012