Artificial Intelligence

The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Timely Object Recognition NeurIPS 2012 Topology Constraints in Graphical Models NeurIPS 2012 Towards a learning-theoretic analysis of spike-timing dependent plasticity NeurIPS 2012 Towards A Swarm of Agile Micro Quadrotors RSS 2012 Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies JMLR 2012 Towards Persistent Localization and Mapping with a Continuous Appearance-based Topology RSS 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Transfer in Reinforcement Learning via Shared Features JMLR 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Turning-rate Selective Control : A New Method for Independent Control of Stress-engineered MEMS Microrobots RSS 2012 Two-way Parallel Class Expression Learning ACML 2012 Unsupervised Structure Discovery for Semantic Analysis of Audio NeurIPS 2012 Unsupervised Template Learning for Fine-Grained Object Recognition NeurIPS 2012 Value Pursuit Iteration NeurIPS 2012 Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Variational Multinomial Logit Gaussian Process JMLR 2012 Visual Route Recognition with a Handful of Bits RSS 2012