Artificial Intelligence

Bayesian Sampling Using Stochastic Gradient Thermostats NeurIPS 2014 Bayesian View Synthesis and Image-Based Rendering Principles CVPR 2014 Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014 Best-Arm Identification in Linear Bandits NeurIPS 2014 Beta Diffusion Trees ICML 2014 Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NeurIPS 2014 Beta Process Multiple Kernel Learning CVPR 2014 Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes CVPR 2014 Beyond Disagreement-Based Agnostic Active Learning NeurIPS 2014 Bias in Natural Actor-Critic Algorithms ICML 2014 Bi-label Propagation for Generic Multiple Object Tracking CVPR 2014 Black Box Variational Inference AISTATS 2014 Blossom Tree Graphical Models NeurIPS 2014 Boosting with Online Binary Learners for the Multiclass Bandit Problem ICML 2014 Camouflaging an Object from Many Viewpoints CVPR 2014 Causal Discovery with Continuous Additive Noise Models JMLR 2014 Causal Inference through a Witness Protection Program NeurIPS 2014 Causal Strategic Inference in Networked Microfinance Economies NeurIPS 2014 Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems AISTATS 2014 Clamping Variables and Approximate Inference NeurIPS 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014 Co-localization in Real-World Images CVPR 2014 Color Transfer Using Probabilistic Moving Least Squares CVPR 2014 Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014