continuous optimization

Accelerated Mirror Descent in Continuous and Discrete Time NeurIPS 2015 Algorithms for Lipschitz Learning on Graphs COLT 2015 Exactness of Approximate MAP Inference in Continuous MRFs NeurIPS 2015 Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple ICCV 2015 A Principled Approach for Coarse-to-Fine MAP Inference CVPR 2014 A* Sampling NeurIPS 2014 Discrete-Continuous Depth Estimation from a Single Image CVPR 2014 FAST LABEL: Easy and Efficient Solution of Joint Multi-Label and Estimation Problems CVPR 2014 Graph Cut based Continuous Stereo Matching using Locally Shared Labels CVPR 2014 Lipschitz Bandits: Regret Lower Bound and Optimal Algorithms COLT 2014 Tight Continuous Relaxation of the Balanced k-Cut Problem NeurIPS 2014 Continuous Inference in Graphical Models with Polynomial Energies CVPR 2013 Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013 EDML for Learning Parameters in Directed and Undirected Graphical Models NeurIPS 2013 Parametric Task Learning NeurIPS 2013 Reflection methods for user-friendly submodular optimization NeurIPS 2013 Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition ICCV 2013 Constrained 1-Spectral Clustering AISTATS 2012 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Smoothing Multivariate Performance Measures JMLR 2012 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Active Instance Sampling via Matrix Partition NeurIPS 2010 Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity JMLR 2008 A Unified Continuous Optimization Framework for Center-Based Clustering Methods JMLR 2007