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Optimization

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Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems NIPS 2014
A Filtering Approach to Stochastic Variational Inference NIPS 2014
Smoothed Gradients for Stochastic Variational Inference NIPS 2014
Exploiting easy data in online optimization NIPS 2014
Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction CVPR 2014
Robust Estimation of 3D Human Poses from a Single Image CVPR 2014
Submodular Object Recognition CVPR 2014
Generalized Pupil-Centric Imaging and Analytical Calibration for a Non-frontal Camera CVPR 2014
On Multiplicative Multitask Feature Learning NIPS 2014
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NIPS 2014
Sparse PCA with Oracle Property NIPS 2014
A Dual Algorithm for Olfactory Computation in the Locust Brain NIPS 2014
Optimistic Planning in Markov Decision Processes Using a Generative Model NIPS 2014
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NIPS 2014
Event Detection using Multi-Level Relevance Labels and Multiple Features CVPR 2014
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) NIPS 2014
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NIPS 2014
Local Linear Convergence of Forward--Backward under Partial Smoothness NIPS 2014
FAST LABEL: Easy and Efficient Solution of Joint Multi-Label and Estimation Problems CVPR 2014
Reconstructing Evolving Tree Structures in Time Lapse Sequences CVPR 2014
Point Matching in the Presence of Outliers in Both Point Sets: A Concave Optimization Approach CVPR 2014
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014
Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NIPS 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NIPS 2014