Mathematics

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Active Learning of Multi-Index Function Models NeurIPS 2012 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 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 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 Ancestor Sampling for Particle Gibbs NeurIPS 2012 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012 Approximating Concavely Parameterized Optimization Problems NeurIPS 2012 A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NeurIPS 2012 Assessing Blinding in Clinical Trials NeurIPS 2012 Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions COLT 2012 Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Bayesian Quadrature for Ratios AISTATS 2012 Bounding the Probability of Error for High Precision Optical Character Recognition JMLR 2012 Clustering Sparse Graphs NeurIPS 2012 Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NeurIPS 2012 Competitive Classification and Closeness Testing COLT 2012