Artificial Intelligence

Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Sequence learning with hidden units in spiking neural networks NeurIPS 2011 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 Sliding Manipulation of Rigid Bodies on a Controlled 6-DoF Plate RSS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 Sparse Bayesian Multi-Task Learning NeurIPS 2011 Sparse Estimation with Structured Dictionaries NeurIPS 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011 Spectral Methods for Learning Multivariate Latent Tree Structure NeurIPS 2011 Speedy Q-Learning NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 Support Vector Machines Under Adversarial Label Noise ACML 2011 Switch-Reset Models : Exact and Approximate Inference AISTATS 2011 t-divergence Based Approximate Inference NeurIPS 2011 TERMES: An Autonomous Robotic System for Three-Dimensional Collective Construction RSS 2011 Testing a Bayesian Measure of Representativeness Using a Large Image Database NeurIPS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 The Kernel Beta Process NeurIPS 2011 The Motion Grammar: Linguistic Perception, Planning, and Control RSS 2011 The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011