Mathematics & Optimization

Online Passive-Aggressive Algorithms JMLR 2006 On Model Selection Consistency of Lasso JMLR 2006 On the Complexity of Learning Lexicographic Strategies JMLR 2006 On the Dubins Traveling Salesperson Problems: novel approximation algorithms RSS 2006 Optimal Change-Detection and Spiking Neurons NeurIPS 2006 Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006 Particle Filtering for Nonparametric Bayesian Matrix Factorization NeurIPS 2006 Prediction on a Graph with a Perceptron NeurIPS 2006 Pursuit and evasion in non-convex domains of arbitrary dimensions RSS 2006 QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006 Real-time adaptive information-theoretic optimization of neurophysiology experiments NeurIPS 2006 Rearrangement Clustering: Pitfalls, Remedies, and Applications JMLR 2006 Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006 Similarity by Composition NeurIPS 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 Sparse Representation for Signal Classification NeurIPS 2006 Speakers optimize information density through syntactic reduction NeurIPS 2006 Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006 Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006 Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NeurIPS 2006 Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition JMLR 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 Uncertainty, phase and oscillatory hippocampal recall NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006