Mathematics & Optimization

A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010 Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm RSS 2010 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010 Batch Bayesian Optimization via Simulation Matching NeurIPS 2010 Bayesian Action-Graph Games NeurIPS 2010 Bayesian structure discovery in Bayesian networks with less space AISTATS 2010 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Bundle Methods for Regularized Risk Minimization JMLR 2010 Characterization, Stability and Convergence of Hierarchical Clustering Methods JMLR 2010 Classification Using Geometric Level Sets JMLR 2010 Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NeurIPS 2010 Collaborative Filtering via Rating Concentration AISTATS 2010 Composite Binary Losses JMLR 2010 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NeurIPS 2010 Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010 Consistent data association in multi-robot systems with limited communications RSS 2010 Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010 Copula Processes NeurIPS 2010 CUR from a Sparse Optimization Viewpoint NeurIPS 2010 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Decomposing Isotonic Regression for Efficiently Solving Large Problems NeurIPS 2010 Design and Optimization Strategies for Muscle-Like Direct Drive Linear Permanent Magnet Motors RSS 2010 Detecting Weak but Hierarchically-Structured Patterns in Networks AISTATS 2010 Deterministic Bayesian inference for the $p*$ model AISTATS 2010 Distributed Dual Averaging In Networks NeurIPS 2010