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Optimization

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Accelerated Stochastic Gradient Method for Composite Regularization AISTATS 2014
Heavy-tailed regression with a generalized median-of-means ICML 2014
Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014
Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014
Optimal Mean Robust Principal Component Analysis ICML 2014
Optimization Equivalence of Divergences Improves Neighbor Embedding ICML 2014
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery ICML 2014
Alternating Minimization for Mixed Linear Regression ICML 2014
Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm ICML 2014
GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results ICML 2014
Programming by Feedback ICML 2014
Geodesic Distance Function Learning via Heat Flow on Vector Fields ICML 2014
Manhattan and Piecewise-Planar Constraints for Dense Monocular Mapping RSS 2014
Tracking Adversarial Targets ICML 2014
Efficient Label Propagation ICML 2014
A Truncated EM Approach for Spike-and-Slab Sparse Coding JMLR 2014
Towards Ultrahigh Dimensional Feature Selection for Big Data JMLR 2014
Ensemble Methods for Structured Prediction ICML 2014
SCAMS: Simultaneous Clustering and Model Selection CVPR 2014
Graph Clustering With Missing Data: Convex Algorithms and Analysis NIPS 2014
On the Convergence Rate of Decomposable Submodular Function Minimization NIPS 2014
Reputation-based Worker Filtering in Crowdsourcing NIPS 2014
Divide-and-Conquer Learning by Anchoring a Conical Hull NIPS 2014
Convex Optimization Procedure for Clustering: Theoretical Revisit NIPS 2014
New Rules for Domain Independent Lifted MAP Inference NIPS 2014