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Papers (including subtopics)

Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NeurIPS 2008 Resolution Limits of Sparse Coding in High Dimensions NeurIPS 2008 Risk Bounds for Randomized Sample Compressed Classifiers NeurIPS 2008 Robust Regression and Lasso NeurIPS 2008 Sequential effects: Superstition or rational behavior? NeurIPS 2008 Shark JMLR 2008 Short-Term Depression in VLSI Stochastic Synapse NeurIPS 2008 Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NeurIPS 2008 SimpleMKL JMLR 2008 Sparse Convolved Gaussian Processes for Multi-output Regression NeurIPS 2008 Sparse Online Learning via Truncated Gradient NeurIPS 2008 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008 Sparsity of SVMs that use the epsilon-insensitive loss NeurIPS 2008 Spectral Clustering with Perturbed Data NeurIPS 2008 Spectral Hashing NeurIPS 2008 Stochastic Recruitment: A Limited-Feedback Control Policy for Large Ensemble Systems RSS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 Support Vector Machines with a Reject Option NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 Temporal Dynamics of Cognitive Control NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008