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Optimization

1184 directly classified papers

Papers per year

Papers

A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting JMLR 2016
Rounding-based Moves for Semi-Metric Labeling JMLR 2016
Optimal Tagging with Markov Chain Optimization NIPS 2016
Regularized Nonlinear Acceleration NIPS 2016
Normalized Spectral Map Synchronization NIPS 2016
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization NIPS 2016
Coordinate-wise Power Method NIPS 2016
SDP Relaxation with Randomized Rounding for Energy Disaggregation NIPS 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NIPS 2016
Asynchronous Parallel Greedy Coordinate Descent NIPS 2016
The non-convex Burer-Monteiro approach works on smooth semidefinite programs NIPS 2016
Estimation from Indirect Supervision with Linear Moments ICML 2016
Learning and Inference via Maximum Inner Product Search ICML 2016
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization ACML 2016
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016
Automatic Image Cropping : A Computational Complexity Study CVPR 2016
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization CVPR 2016
Min Norm Point Algorithm for Higher Order MRF-MAP Inference CVPR 2016
The Solution Path Algorithm for Identity-Aware Multi-Object Tracking CVPR 2016
Robust Multi-Body Feature Tracker: A Segmentation-Free Approach CVPR 2016
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation CVPR 2016
Discrete Rényi Classifiers NIPS 2015
Collaborative Filtering with Graph Information: Consistency and Scalable Methods NIPS 2015
Matrix Manifold Optimization for Gaussian Mixtures NIPS 2015