Mathematics & Optimization

Large Scale Online Kernel Learning JMLR 2016 Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models AISTATS 2016 Large-Scale Price Optimization via Network Flow NeurIPS 2016 Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling CVPR 2016 Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016 LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain NeurIPS 2016 Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016 Learning Additive Exponential Family Graphical Models via ℓ_2,1-norm Regularized M-Estimation NeurIPS 2016 Learning Algorithms for Second-Price Auctions with Reserve JMLR 2016 Learning and Forecasting Opinion Dynamics in Social Networks NeurIPS 2016 Learning Bayesian networks with ancestral constraints NeurIPS 2016 Learning Combinatorial Functions from Pairwise Comparisons COLT 2016 Learning from Multiway Data: Simple and Efficient Tensor Regression ICML 2016 Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices NeurIPS 2016 Learning in Games: Robustness of Fast Convergence NeurIPS 2016 Learning Kernels with Random Features NeurIPS 2016 Learning Planar Ising Models JMLR 2016 Learning Simple Auctions COLT 2016 Learning Sparse Additive Models with Interactions in High Dimensions AISTATS 2016 Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization ICML 2016 Learning Sparse Gaussian Graphical Models with Overlapping Blocks NeurIPS 2016 Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NeurIPS 2016 Learning Tree Structured Potential Games NeurIPS 2016 Leveraging Sparsity for Efficient Submodular Data Summarization NeurIPS 2016 Likelihood Ratio Calculation in Acoustic-Phonetic Forensic Voice Comparison: Comparison of Three Statistical Modelling Approaches Interspeech 2016