Mathematics & Optimization

Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Catching Change-points with Lasso NeurIPS 2007 Classification via Minimum Incremental Coding Length (MICL) NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Competition Adds Complexity NeurIPS 2007 Compressed Regression NeurIPS 2007 Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NeurIPS 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Convex Learning with Invariances NeurIPS 2007 Convex Relaxations of Latent Variable Training NeurIPS 2007 Dense Mapping for Range Sensors: Efficient Algorithms and Sparse Representations RSS 2007 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007 Distances between Data Sets Based on Summary Statistics JMLR 2007 Dynamic Coverage Verification in Mobile Sensor Networks Via Switched Higher Order Laplacians RSS 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Ensemble Clustering using Semidefinite Programming NeurIPS 2007 Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NeurIPS 2007 Fast Iterative Kernel Principal Component Analysis JMLR 2007