Mathematics & Optimization

Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Learning to locate from demonstrated searches RSS 2014 Learning to Optimize via Information-Directed Sampling NeurIPS 2014 Learning to Search in Branch and Bound Algorithms NeurIPS 2014 Learning without concentration COLT 2014 Lifted MAP Inference for Markov Logic Networks AISTATS 2014 Linear and Parallel Learning of Markov Random Fields ICML 2014 Linear Programming for Large-Scale Markov Decision Problems ICML 2014 Linear Time Solver for Primal SVM ICML 2014 Linear-time training of nonlinear low-dimensional embeddings AISTATS 2014 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Lipschitz Bandits: Regret Lower Bound and Optimal Algorithms COLT 2014 Local Linear Convergence of Forward--Backward under Partial Smoothness NeurIPS 2014 Local Ordinal Embedding ICML 2014 Local Regularity-driven City-scale Facade Detection from Aerial Images CVPR 2014 Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NeurIPS 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Low-Cost Compressive Sensing for Color Video and Depth CVPR 2014 Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 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 Approximation Lower Bounds in Row-Update Streams NeurIPS 2014 Low-Rank Spectral Learning AISTATS 2014 Low-Rank Time-Frequency Synthesis NeurIPS 2014 Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers ICML 2014