Optimization

Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds NeurIPS 2008 Differentiable Sparse Coding NeurIPS 2008 Dimensionality Reduction for Data in Multiple Feature Representations NeurIPS 2008 Efficient Exact Inference in Planar Ising Models NeurIPS 2008 Estimating Robust Query Models with Convex Optimization NeurIPS 2008 Estimating vector fields using sparse basis field expansions NeurIPS 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008 Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NeurIPS 2008 Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks JMLR 2008 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008 Fast Prediction on a Tree NeurIPS 2008 Fast Rates for Regularized Objectives NeurIPS 2008 Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 From Online to Batch Learning with Cutoff-Averaging NeurIPS 2008 Gradient Tree Boosting for Training Conditional Random Fields JMLR 2008 High-dimensional support union recovery in multivariate regression NeurIPS 2008 Improved Moves for Truncated Convex Models NeurIPS 2008 Inferring rankings under constrained sensing NeurIPS 2008 Kernelized Sorting NeurIPS 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 MAS: a multiplicative approximation scheme for probabilistic inference NeurIPS 2008 Maximal Causes for Non-linear Component Extraction JMLR 2008 MDPs with Non-Deterministic Policies NeurIPS 2008