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Papers (including subtopics)

Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013 Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation NeurIPS 2013 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 Gossip-based distributed stochastic bandit algorithms ICML 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 Graphical Models for Inference with Missing Data NeurIPS 2013 Guaranteed Sparse Recovery under Linear Transformation ICML 2013 GURLS: A Least Squares Library for Supervised Learning JMLR 2013 Hash Bit Selection: A Unified Solution for Selection Problems in Hashing CVPR 2013 Hierarchical Regularization Cascade for Joint Learning ICML 2013 Hierarchical Tensor Decomposition of Latent Tree Graphical Models ICML 2013 High Altitude Stereo Visual Odometry RSS 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013 Honest Compressions and Their Application to Compression Schemes COLT 2013 Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013 How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal NeurIPS 2013 Illuminant Chromaticity from Image Sequences ICCV 2013 Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation ICCV 2013 Image Matting with Local and Nonlocal Smooth Priors CVPR 2013 Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions CVPR 2013 Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes CVPR 2013 Improved and Generalized Upper Bounds on the Complexity of Policy Iteration NeurIPS 2013 Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces CVPR 2013 Improving Graph Matching via Density Maximization ICCV 2013