Artificial Intelligence

Reduced-Rank Hidden Markov Models AISTATS 2010 Repeated Games against Budgeted Adversaries NeurIPS 2010 Reward Design via Online Gradient Ascent NeurIPS 2010 Self-Paced Learning for Latent Variable Models NeurIPS 2010 Sensor Placement for Improved Robotic Navigation RSS 2010 Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010 Shadow Dirichlet for Restricted Probability Modeling NeurIPS 2010 Short-term memory in neuronal networks through dynamical compressed sensing NeurIPS 2010 Sidestepping Intractable Inference with Structured Ensemble Cascades NeurIPS 2010 Simultaneous Object Detection and Ranking with Weak Supervision NeurIPS 2010 Slice sampling covariance hyperparameters of latent Gaussian models NeurIPS 2010 Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake NeurIPS 2010 Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NeurIPS 2010 SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system NeurIPS 2010 Spike timing-dependent plasticity as dynamic filter NeurIPS 2010 State-Space Inference and Learning with Gaussian Processes AISTATS 2010 Structural epitome: a way to summarize one’s visual experience NeurIPS 2010 Structured Determinantal Point Processes NeurIPS 2010 Study of group food retrieval by ants as a model for multi-robot collective transport strategies RSS 2010 Supervised Clustering NeurIPS 2010 Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010 Switched Latent Force Models for Movement Segmentation NeurIPS 2010 Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NeurIPS 2010 Synergies in learning words and their referents NeurIPS 2010 Task-Driven Tactile Exploration RSS 2010