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)

Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence ICML 2017 Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification ICML 2017 Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017 Stochastic Mirror Descent in Variationally Coherent Optimization Problems NeurIPS 2017 Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms ICML 2017 Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure NeurIPS 2017 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017 Stochastic Submodular Maximization: The Case of Coverage Functions NeurIPS 2017 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017 Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach NeurIPS 2017 Streaming Weak Submodularity: Interpreting Neural Networks on the Fly NeurIPS 2017 Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions ICML 2017 Structured adaptive and random spinners for fast machine learning computations AISTATS 2017 Submodular Optimization under Noise COLT 2017 Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues NeurIPS 2017 Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017 Subset Selection and Summarization in Sequential Data NeurIPS 2017 Subset Selection under Noise NeurIPS 2017 Subspace Clustering via Variance Regularized Ridge Regression CVPR 2017 SVD-Based Screening for the Graphical Lasso IJCAI 2017 SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017 Symbolic LTLf Synthesis IJCAI 2017 Synchronisation Games on Hypergraphs IJCAI 2017 Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks JMLR 2017 Task-based End-to-end Model Learning in Stochastic Optimization NeurIPS 2017