Artificial Intelligence

Entangled Monte Carlo NeurIPS 2012 Entropy Search for Information-Efficient Global Optimization JMLR 2012 EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Experiments with Balancing on Irregular Terrains using the Dreamer Mobile Humanoid Robot RSS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Facilitating Score and Causal Inference Trees for Large Observational Studies JMLR 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Failure anticipation in pursuit-evasion RSS 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion RSS 2012 Feature-Based Prediction of Trajectories for Socially Compliant Navigation RSS 2012 Flexible Martingale Priors for Deep Hierarchies AISTATS 2012 Formalizing Assistive Teleoperation RSS 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 From Deformations to Parts: Motion-based Segmentation of 3D Objects NeurIPS 2012 Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation ACML 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 Fusion with Diffusion for Robust Visual Tracking NeurIPS 2012 Gaussian Processes for time-marked time-series data AISTATS 2012 Generalization Bounds for Domain Adaptation NeurIPS 2012