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Papers (including subtopics)

On Valid Optimal Assignment Kernels and Applications to Graph Classification NeurIPS 2016 Optimal Best Arm Identification with Fixed Confidence COLT 2016 Optimal Black-Box Reductions Between Optimization Objectives NeurIPS 2016 Optimal Estimation and Completion of Matrices with Biclustering Structures JMLR 2016 Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016 Optimal Learning for Multi-pass Stochastic Gradient Methods NeurIPS 2016 Optimal Sparse Linear Encoders and Sparse PCA NeurIPS 2016 Optimal spectral transportation with application to music transcription NeurIPS 2016 Optimal Tagging with Markov Chain Optimization NeurIPS 2016 Optimistic Bandit Convex Optimization NeurIPS 2016 Optimistic Gittins Indices NeurIPS 2016 Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016 Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering CVPR 2016 PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem ICML 2016 Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016 Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization AISTATS 2016 Pareto Front Identification from Stochastic Bandit Feedback AISTATS 2016 PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016 Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games NeurIPS 2016 Phrase-based Machine Translation using Multiple Preordering Candidates COLING 2016 Pliable Rejection Sampling ICML 2016 Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016 Preconditioning Kernel Matrices ICML 2016 Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016 Pricing a Low-regret Seller ICML 2016