conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

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Papers (including subtopics)

Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods ICML 2014 Fast matrix completion without the condition number COLT 2014 Fast MRF Optimization with Application to Depth Reconstruction CVPR 2014 Fast Multi-stage Submodular Maximization ICML 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Fast Rotation Search with Stereographic Projections for 3D Registration CVPR 2014 Fast Stochastic Alternating Direction Method of Multipliers ICML 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Finding Dense Subgraphs via Low-Rank Bilinear Optimization ICML 2014 Finito: A faster, permutable incremental gradient method for big data problems ICML 2014 Follow the Leader If You Can, Hedge If You Must JMLR 2014 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014 From MAP to Marginals: Variational Inference in Bayesian Submodular Models NeurIPS 2014 From Stochastic Mixability to Fast Rates NeurIPS 2014 Fully Decentralized Task Swaps with Optimized Local Searching RSS 2014 Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NeurIPS 2014 FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014 Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014 Gaussian Process Optimization with Mutual Information ICML 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Generalized Unsupervised Manifold Alignment NeurIPS 2014 Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014 Global Optimization Methods for Extended Fisher Discriminant Analysis AISTATS 2014