Mathematics & Optimization

Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NeurIPS 2007 Parallelizing Support Vector Machines on Distributed Computers NeurIPS 2007 Polynomial Identification in the Limit of Substitutable Context-free Languages JMLR 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Progressive mixture rules are deviation suboptimal NeurIPS 2007 Random Features for Large-Scale Kernel Machines NeurIPS 2007 Random Projections for Manifold Learning NeurIPS 2007 Receding Horizon Differential Dynamic Programming NeurIPS 2007 Refinable Kernels JMLR 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007 Selecting Observations against Adversarial Objectives NeurIPS 2007 Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NeurIPS 2007 SpAM: Sparse Additive Models NeurIPS 2007 Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification JMLR 2007 Testing for Homogeneity with Kernel Fisher Discriminant Analysis NeurIPS 2007 The Distribution Family of Similarity Distances NeurIPS 2007 The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information NeurIPS 2007 The Noisy-Logical Distribution and its Application to Causal Inference NeurIPS 2007 The On-Line Shortest Path Problem Under Partial Monitoring JMLR 2007 The Price of Bandit Information for Online Optimization NeurIPS 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 Ultrafast Monte Carlo for Statistical Summations NeurIPS 2007 Undercomplete Blind Subspace Deconvolution JMLR 2007 Value Regularization and Fenchel Duality JMLR 2007