Co-occurring keywords · papers mentioning both
Papers
Robust learning of low-dimensional dynamics from large neural ensembles
NeurIPS 2013
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching
NeurIPS 2013
Robust Regression on MapReduce
ICML 2013
Similarity Metric Learning for Face Recognition
ICCV 2013
Simultaneous Super-Resolution of Depth and Images Using a Single Camera
CVPR 2013
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting
ICML 2013
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
NeurIPS 2013
Spectral Learning of Hidden Markov Models from Dynamic and Static Data
ICML 2013
Stochastic Alternating Direction Method of Multipliers
ICML 2013
Stochastic Convex Optimization with Multiple Objectives
NeurIPS 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
JMLR 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
ICML 2013
Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization
NeurIPS 2013
Super-resolution via Transform-Invariant Group-Sparse Regularization
ICCV 2013
The Episolar Constraint: Monocular Shape from Shadow Correspondence
CVPR 2013
The Variational Structure of Disparity and Regularization of 4D Light Fields
CVPR 2013
Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs
ICCV 2013
Uncover Topic-Sensitive Information Diffusion Networks
AISTATS 2013
Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition
ICCV 2013
Accelerated Training for Matrix-norm Regularization: A Boosting Approach
NeurIPS 2012
Accuracy at the Top
NeurIPS 2012
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
NeurIPS 2012
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation
NeurIPS 2012
A General Framework for Structured Sparsity via Proximal Optimization
AISTATS 2012
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
AISTATS 2012