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Continuous Optimization

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Online to Offline Conversions, Universality and Adaptive Minibatch Sizes NIPS 2017
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences NIPS 2017
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NIPS 2017
Multi-output Polynomial Networks and Factorization Machines NIPS 2017
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding NIPS 2017
Gradient Descent Can Take Exponential Time to Escape Saddle Points NIPS 2017
Parametric Simplex Method for Sparse Learning NIPS 2017
Asynchronous Coordinate Descent under More Realistic Assumptions NIPS 2017
Fundamental Conditions for Low-CP-Rank Tensor Completion JMLR 2017
Online Summarization via Submodular and Convex Optimization CVPR 2017
Inverse Covariance Estimation with Structured Groups IJCAI 2017
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems CVPR 2017
Order-Preserving Wasserstein Distance for Sequence Matching CVPR 2017
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System From Single 3D Point CVPR 2017
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting CVPR 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NIPS 2017
Adaptive Clustering through Semidefinite Programming NIPS 2017
Multi-Component Nonnegative Matrix Factorization IJCAI 2017
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017
Exclusivity Regularized Machine: A New Ensemble SVM Classifier IJCAI 2017
Generalized Conditional Gradient for Sparse Estimation JMLR 2017
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence ICML 2017
Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations RSS 2017
Balancing and Step Recovery Capturability via Sums-of-Squares Optimization RSS 2017
Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017