Mathematics & Optimization

Distributionally Robust Markov Decision Processes NeurIPS 2010 Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NeurIPS 2010 Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization JMLR 2010 Dynamic Constraint-based Optimal Shape Trajectory Planner for Shape-Accelerated Underactuated Balancing Systems RSS 2010 Efficient Algorithms for Conditional Independence Inference JMLR 2010 Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NeurIPS 2010 Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization NeurIPS 2010 Efficient Minimization of Decomposable Submodular Functions NeurIPS 2010 Empirical Bernstein Inequalities for U-Statistics NeurIPS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Evaluating neuronal codes for inference using Fisher information NeurIPS 2010 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Exclusive Lasso for Multi-task Feature Selection AISTATS 2010 Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010 Extensions of Generalized Binary Search to Group Identification and Exponential Costs NeurIPS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Fast global convergence rates of gradient methods for high-dimensional statistical recovery NeurIPS 2010 Fractionally Predictive Spiking Neurons NeurIPS 2010 Generalized Power Method for Sparse Principal Component Analysis JMLR 2010 Generalized roof duality and bisubmodular functions NeurIPS 2010 Getting lost in space: Large sample analysis of the resistance distance NeurIPS 2010 Graph Kernels JMLR 2010 Graph-Valued Regression NeurIPS 2010