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Continuous Optimization

3907 directly classified papers

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Papers

Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NIPS 2017
One-Sided Unsupervised Domain Mapping NIPS 2017
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017
Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines IJCAI 2017
Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains AISTATS 2017
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation AISTATS 2017
Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017
Encrypted Accelerated Least Squares Regression AISTATS 2017
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks ICML 2017
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery ICML 2017
Frame-based Data Factorizations ICML 2017
On The Projection Operator to A Three-view Cardinality Constrained Set ICML 2017
Rank Determination for Low-Rank Data Completion JMLR 2017
Active-set Methods for Submodular Minimization Problems JMLR 2017
Adaptive Randomized Dimension Reduction on Massive Data JMLR 2017
Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot AISTATS 2017
Fast column generation for atomic norm regularization AISTATS 2017
Co-Occurring Directions Sketching for Approximate Matrix Multiply AISTATS 2017
Adaptive ADMM with Spectral Penalty Parameter Selection AISTATS 2017
Geometry of 3D Environments and Sum of Squares Polynomials RSS 2017
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe AISTATS 2017
Sharp Oracle Inequalities for Square Root Regularization JMLR 2017
Guarantees for Greedy Maximization of Non-submodular Functions with Applications ICML 2017
Near-Optimal Design of Experiments via Regret Minimization ICML 2017