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Continuous Optimization

3,907 papers

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Papers

Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement ICML 2017
Convex Phase Retrieval without Lifting via PhaseMax ICML 2017
Faster Greedy MAP Inference for Determinantal Point Processes ICML 2017
Multilevel Clustering via Wasserstein Means ICML 2017
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017
Dissipativity Theory for Nesterov’s Accelerated Method ICML 2017
Tensor Decomposition with Smoothness ICML 2017
How to Escape Saddle Points Efficiently ICML 2017
Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations ICML 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization ICML 2017
Exact MAP Inference by Avoiding Fractional Vertices ICML 2017
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017
Frame-based Data Factorizations ICML 2017
Tight Bounds for Approximate Carathéodory and Beyond ICML 2017
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery ICML 2017
Innovation Pursuit: A New Approach to the Subspace Clustering Problem ICML 2017
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks ICML 2017
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization ICML 2017
Robust Budget Allocation via Continuous Submodular Functions ICML 2017
Approximate Steepest Coordinate Descent ICML 2017
Ordinal Graphical Models: A Tale of Two Approaches ICML 2017
Tensor Balancing on Statistical Manifold ICML 2017