Artificial Intelligence

Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010 The Maximal Causes of Natural Scenes are Edge Filters NeurIPS 2010 The Multidimensional Wisdom of Crowds NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010 Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models NeurIPS 2010 Trading off Mistakes and Don't-Know Predictions NeurIPS 2010 Tree-Structured Stick Breaking for Hierarchical Data NeurIPS 2010 Two-Layer Generalization Analysis for Ranking Using Rademacher Average NeurIPS 2010 Understanding the difficulty of training deep feedforward neural networks AISTATS 2010 Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs AISTATS 2010 Variational bounds for mixed-data factor analysis NeurIPS 2010 Variational Inference over Combinatorial Spaces NeurIPS 2010 Variational Relevance Vector Machine for Tabular Data ACML 2010 Why are DBNs sparse? AISTATS 2010 Word Features for Latent Dirichlet Allocation NeurIPS 2010 L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NeurIPS 2009 3D Object Recognition with Deep Belief Nets NeurIPS 2009 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 Abstraction and Relational learning NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 Accurate rough terrain estimation with space-carving kernels RSS 2009 Adapting to the Shifting Intent of Search Queries NeurIPS 2009 Adaptive relative bundle adjustment RSS 2009 A Data-Driven Approach to Modeling Choice NeurIPS 2009