Continuous Optimization

Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles NeurIPS 2010 Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models JMLR 2010 Kernel Partial Least Squares is Universally Consistent AISTATS 2010 Large-Scale Matrix Factorization with Missing Data under Additional Constraints NeurIPS 2010 Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes JMLR 2010 Minimum Average Cost Clustering NeurIPS 2010 Occlusion Detection and Motion Estimation with Convex Optimization NeurIPS 2010 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 SFO: A Toolbox for Submodular Function Optimization JMLR 2010 Sparse Inverse Covariance Selection via Alternating Linearization Methods NeurIPS 2010 Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010 Structured sparsity-inducing norms through submodular functions NeurIPS 2010 The LASSO risk: asymptotic results and real world examples NeurIPS 2010 Topology Selection in Graphical Models of Autoregressive Processes JMLR 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NeurIPS 2009 Adaptive relative bundle adjustment RSS 2009 Analysis of SVM with Indefinite Kernels NeurIPS 2009 An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs JMLR 2009 A Smoothed Approximate Linear Program NeurIPS 2009 Compositionality of optimal control laws NeurIPS 2009 Compressed Least-Squares Regression NeurIPS 2009 Data-driven Calibration of Penalties for Least-Squares Regression JMLR 2009