Artificial Intelligence

Deep Gaussian Processes AISTATS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Dependent Normalized Random Measures ICML 2013 DESPOT: Online POMDP Planning with Regularization NeurIPS 2013 Detection of Manipulation Action Consequences (MAC) CVPR 2013 DeViSE: A Deep Visual-Semantic Embedding Model NeurIPS 2013 Diagonal Orthant Multinomial Probit Models AISTATS 2013 Differentially Private Learning with Kernels ICML 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013 Discriminative Segment Annotation in Weakly Labeled Video CVPR 2013 Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 Domain Adaptation under Target and Conditional Shift ICML 2013 Dropout Training as Adaptive Regularization NeurIPS 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Dynamic Covariance Models for Multivariate Financial Time Series ICML 2013 Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks ICML 2013 Dynamics, Control and Planning for Cooperative Manipulation of Payloads Suspended by Cables from Multiple Quadrotor Robots RSS 2013 EDML for Learning Parameters in Directed and Undirected Graphical Models NeurIPS 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 Efficiently Sampling Probabilistic Programs via Program Analysis AISTATS 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013 Efficient Program Synthesis Using Constraint Satisfaction in Inductive Logic Programming JMLR 2013 Eluder Dimension and the Sample Complexity of Optimistic Exploration NeurIPS 2013