Artificial Intelligence

Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting JMLR 2010 Direct Loss Minimization for Structured Prediction NeurIPS 2010 Distributed Optimization with Pairwise Constraints and its Application to Multi-robot Path Planning RSS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010 Double Q-learning NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010 Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010 Efficient Relational Learning with Hidden Variable Detection NeurIPS 2010 Elliptical slice sampling AISTATS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity JMLR 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Evolving Static Representations for Task Transfer JMLR 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 Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010 Extended Bayesian Information Criteria for Gaussian Graphical Models NeurIPS 2010 Factorized Latent Spaces with Structured Sparsity NeurIPS 2010 FastInf: An Efficient Approximate Inference Library JMLR 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010