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Optimization

341 directly classified papers

Papers per year

Papers

EDML for Learning Parameters in Directed and Undirected Graphical Models NIPS 2013
Learning Adaptive Value of Information for Structured Prediction NIPS 2013
Estimation, Optimization, and Parallelism when Data is Sparse NIPS 2013
Minimizing Uncertainty in Pipelines NIPS 2012
Scaled Gradients on Grassmann Manifolds for Matrix Completion NIPS 2012
Beating SGD: Learning SVMs in Sublinear Time NIPS 2011
Penalty Decomposition Methods for Rank Minimization NIPS 2011
Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness NIPS 2011
On the Universality of Online Mirror Descent NIPS 2011
Multiple Kernel Learning and the SMO Algorithm NIPS 2010
t-logistic regression NIPS 2010
Occlusion Detection and Motion Estimation with Convex Optimization NIPS 2010
Throttling Poisson Processes NIPS 2010
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009
Beyond Convexity: Online Submodular Minimization NIPS 2009
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NIPS 2006