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Optimization

14,983 papers

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Papers

Repeated Contextual Auctions with Strategic Buyers NIPS 2014
Efficient Sampling for Learning Sparse Additive Models in High Dimensions NIPS 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference NIPS 2014
Constrained convex minimization via model-based excessive gap NIPS 2014
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
Coresets for k-Segmentation of Streaming Data NIPS 2014
Rounding-based Moves for Metric Labeling NIPS 2014
Spectral k-Support Norm Regularization NIPS 2014
Self-Paced Learning with Diversity NIPS 2014
Orbit Regularization NIPS 2014
Analog Memories in a Balanced Rate-Based Network of E-I Neurons NIPS 2014
Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Exploiting easy data in online optimization NIPS 2014
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NIPS 2014
Learning to Optimize via Information-Directed Sampling NIPS 2014
Communication Efficient Distributed Machine Learning with the Parameter Server NIPS 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NIPS 2014
A* Sampling NIPS 2014
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NIPS 2014
Optimal decision-making with time-varying evidence reliability NIPS 2014
Consistent Binary Classification with Generalized Performance Metrics NIPS 2014
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NIPS 2014
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NIPS 2014