Optimization

Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization IJCAI 2018 Rotation Averaging and Strong Duality CVPR 2018 RSG: Beating Subgradient Method without Smoothness and Strong Convexity JMLR 2018 Service Exchange Problem IJCAI 2018 Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers JMLR 2018 Solving M-Modes in Loopy Graphs Using Tree Decompositions PGM 2018 Solving Non-smooth Constrained Programs with Lower Complexity than O(1/ε): A Primal-Dual Homotopy Smoothing Approach NeurIPS 2018 SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms CVPR 2018 Stein Points ICML 2018 Stochastic Spectral and Conjugate Descent Methods NeurIPS 2018 Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions NeurIPS 2018 Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization IJCAI 2018 TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification EMNLP 2018 Unbiased Objective Estimation in Predictive Optimization ICML 2018 A Clever Elimination Strategy for Efficient Minimal Solvers CVPR 2017 Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies CVPR 2017 Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation CVPR 2017 ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NeurIPS 2017 A New Rank Constraint on Multi-View Fundamental Matrices, and Its Application to Camera Location Recovery CVPR 2017 An Exact Penalty Method for Locally Convergent Maximum Consensus CVPR 2017 A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms JMLR 2017 Approximate Steepest Coordinate Descent ICML 2017 A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017 Asynchronous Coordinate Descent under More Realistic Assumptions NeurIPS 2017 Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017