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Papers (including subtopics)

Localized Complexities for Transductive Learning COLT 2014 Local Linear Convergence of Forward--Backward under Partial Smoothness NeurIPS 2014 Locally Adaptive Factor Processes for Multivariate Time Series JMLR 2014 Local Readjustment for High-Resolution 3D Reconstruction CVPR 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Loopy Belief Propagation in the Presence of Determinism AISTATS 2014 Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014 Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014 Low-Rank Spectral Learning AISTATS 2014 Making Pairwise Binary Graphical Models Attractive NeurIPS 2014 Manhattan and Piecewise-Planar Constraints for Dense Monocular Mapping RSS 2014 Manopt, a Matlab Toolbox for Optimization on Manifolds JMLR 2014 Marginal Structured SVM with Hidden Variables ICML 2014 Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing JMLR 2014 Maximum Margin Multiclass Nearest Neighbors ICML 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014 Maximum Persistency in Energy Minimization CVPR 2014 Max-Margin Infinite Hidden Markov Models ICML 2014 Median Selection Subset Aggregation for Parallel Inference NeurIPS 2014 Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014 Memory (and Time) Efficient Sequential Monte Carlo ICML 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials NeurIPS 2014 Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014