Mathematics & Optimization

Active Learning of Multi-Index Function Models NeurIPS 2012 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NeurIPS 2012 Adaptive MCMC with Bayesian Optimization AISTATS 2012 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 2012 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012 Affine trajectory deformation for redundant manipulators RSS 2012 A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012 A Geometric Approach to Sample Compression JMLR 2012 A Geometric take on Metric Learning NeurIPS 2012 A Kernel Two-Sample Test JMLR 2012 A latent factor model for highly multi-relational data NeurIPS 2012 A lattice filter model of the visual pathway NeurIPS 2012 Algebraic Geometric Comparison of Probability Distributions JMLR 2012 A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally JMLR 2012 A mechanistic model of early sensory processing based on subtracting sparse representations NeurIPS 2012 A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012 An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling AISTATS 2012 Ancestor Sampling for Particle Gibbs NeurIPS 2012 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 An Integer Optimization Approach to Associative Classification NeurIPS 2012 An Introduction to Artificial Prediction Markets for Classification JMLR 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012 A Polylog Pivot Steps Simplex Algorithm for Classification NeurIPS 2012