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Papers (including subtopics)

A fast, universal algorithm to learn parametric nonlinear embeddings NeurIPS 2015 A Fast Variational Approach for Learning Markov Random Field Language Models ICML 2015 A Finite Sample Analysis of the Naive Bayes Classifier JMLR 2015 A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching CVPR 2015 A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NeurIPS 2015 A Gaussian Process Latent Variable Model for BRDF Inference ICCV 2015 A Gaussian Process Model of Quasar Spectral Energy Distributions NeurIPS 2015 A General Analysis of the Convergence of ADMM ICML 2015 A General Framework for Fast Stagewise Algorithms JMLR 2015 A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice NeurIPS 2015 Agnostic Insurability of Model Classes JMLR 2015 Agnostic Learning of Disjunctions on Symmetric Distributions JMLR 2015 A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015 A Groupwise Multilinear Correspondence Optimization for 3D Faces ICCV 2015 A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015 A hybrid sampler for Poisson-Kingman mixture models NeurIPS 2015 Algorithmic Stability and Uniform Generalization NeurIPS 2015 Algorithms for Lipschitz Learning on Graphs COLT 2015 Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction ICML 2015 Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits NeurIPS 2015 A Linear Dynamical System Model for Text ICML 2015 A Linear Least-Squares Solution to Elastic Shape-From-Template CVPR 2015 A Lower Bound for the Optimization of Finite Sums ICML 2015 Alpha-Beta Divergences Discover Micro and Macro Structures in Data ICML 2015 Alternating Minimization for Regression Problems with Vector-valued Outputs NeurIPS 2015