Mathematics & Optimization

Online Optimization with Gradual Variations COLT 2012 Online Rank Aggregation ACML 2012 Online Submodular Minimization JMLR 2012 Online Sum-Product Computation Over Trees NeurIPS 2012 Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits AISTATS 2012 On Multilabel Classification and Ranking with Partial Feedback NeurIPS 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012 On the Sample Complexity of Robust PCA NeurIPS 2012 On the Structure of Nonlinearities in Pose Graph SLAM RSS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012 Optimal Control with Weighted Average Costs and Temporal Logic Specifications RSS 2012 Optimal kernel choice for large-scale two-sample tests NeurIPS 2012 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 Optimal Regularized Dual Averaging Methods for Stochastic Optimization NeurIPS 2012 Optimistic Bayesian Sampling in Contextual-Bandit Problems JMLR 2012 Optimization-Based Estimator Design for Vision-Aided Inertial Navigation RSS 2012 Parsing Indoor Scenes Using RGB-D Imagery RSS 2012 Perceptron Learning of SAT NeurIPS 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 Primal-Dual methods for sparse constrained matrix completion AISTATS 2012 Projection Retrieval for Classification NeurIPS 2012 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 Proximal Newton-type methods for convex optimization NeurIPS 2012 QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization ACML 2012 Query Complexity of Derivative-Free Optimization NeurIPS 2012