Optimization

Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013 Intersecting singularities for multi-structured estimation ICML 2013 Iterative Learning and Denoising in Convolutional Neural Associative Memories ICML 2013 Label Partitioning For Sublinear Ranking ICML 2013 Large Displacement Optical Flow from Nearest Neighbor Fields CVPR 2013 Large-Scale Bandit Problems and KWIK Learning ICML 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning ICCV 2013 Large-Scale Video Hashing via Structure Learning ICCV 2013 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Latent Maximum Margin Clustering NeurIPS 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning Chordal Markov Networks by Constraint Satisfaction NeurIPS 2013 Learning Connections in Financial Time Series ICML 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning Coupled Feature Spaces for Cross-Modal Matching ICCV 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs NeurIPS 2013 Learning Hash Functions Using Column Generation ICML 2013 Learning Heteroscedastic Models by Convex Programming under Group Sparsity ICML 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013 Learning Markov Networks With Arithmetic Circuits AISTATS 2013