Optimization
1,960 papers
Papers per year
5
2
4
2
3
4
8
25
19
28
34
44
82
125
160
195
201
234
394
302
89
'10
'15
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'25
Papers
Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video
CVPR 2016
Staple: Complementary Learners for Real-Time Tracking
CVPR 2016
Sublabel-Accurate Relaxation of Nonconvex Energies
CVPR 2016
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
NeurIPS 2016
Tight Complexity Bounds for Optimizing Composite Objectives
NeurIPS 2016
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
JMLR 2016
Train faster, generalize better: Stability of stochastic gradient descent
ICML 2016
Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC
CVPR 2016
Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition
Interspeech 2016
Video-Story Composition via Plot Analysis
CVPR 2016
A fast, universal algorithm to learn parametric nonlinear embeddings
NeurIPS 2015
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis
ICML 2015
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle
CVPR 2015
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
ICCV 2015
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate
ICML 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
NeurIPS 2015
Deep learning with Elastic Averaging SGD
NeurIPS 2015
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
NeurIPS 2015
Equilibrated adaptive learning rates for non-convex optimization
NeurIPS 2015
Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition
COLT 2015
FaLRR: A Fast Low Rank Representation Solver
CVPR 2015
Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization
CVPR 2015
Frequency-Based Environment Matting by Compressive Sensing
ICCV 2015
Gradient Estimation Using Stochastic Computation Graphs
NeurIPS 2015
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks
NeurIPS 2015