Mathematics & Optimization

Structured adaptive and random spinners for fast machine learning computations AISTATS 2017 Student-t Process Regression with Student-t Likelihood IJCAI 2017 Submodular Optimization under Noise COLT 2017 Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues NeurIPS 2017 Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017 Subset Selection and Summarization in Sequential Data NeurIPS 2017 Subset Selection under Noise NeurIPS 2017 Subspace Clustering via Tangent Cones NeurIPS 2017 Subspace Clustering via Variance Regularized Ridge Regression CVPR 2017 SVD-Based Screening for the Graphical Lasso IJCAI 2017 SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017 Symbolic LTLf Synthesis IJCAI 2017 Synchronisation Games on Hypergraphs IJCAI 2017 Synthesis of VV Utterances from Muscle Activation to Sound with a 3D Model Interspeech 2017 Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks JMLR 2017 Task-based End-to-end Model Learning in Stochastic Optimization NeurIPS 2017 Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers CVPR 2017 Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos CVPR 2017 Temporal Planning for Compilation of Quantum Approximate Optimization Circuits IJCAI 2017 Temporal Planning with Clock-Based SMT Encodings IJCAI 2017 Tensor Balancing on Statistical Manifold ICML 2017 Tensor Biclustering NeurIPS 2017 Tensor Completion with Side Information: A Riemannian Manifold Approach IJCAI 2017 Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD) AISTATS 2017 Tensor Decomposition via Simultaneous Power Iteration ICML 2017