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)

Papers per year

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102

133

171

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398

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487

649

812

1,162

1,353

1,487

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1,600

1,870

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372

2000

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Papers (including subtopics)

Continuous Time Particle Filtering for fMRI NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Convex Learning with Invariances NeurIPS 2007 Convex Relaxations of Latent Variable Training NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007 Dynamic Coverage Verification in Mobile Sensor Networks Via Switched Higher Order Laplacians RSS 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Ensemble Clustering using Semidefinite Programming NeurIPS 2007 Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NeurIPS 2007 Fast Iterative Kernel Principal Component Analysis JMLR 2007 Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NeurIPS 2007 From External to Internal Regret JMLR 2007 General Polynomial Time Decomposition Algorithms JMLR 2007 Hierarchical Penalization NeurIPS 2007 Kernel Measures of Conditional Dependence NeurIPS 2007 Learning Equivariant Functions with Matrix Valued Kernels JMLR 2007 Linear programming analysis of loopy belief propagation for weighted matching NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Mapping Large Loops with a Single Hand-Held Camera RSS 2007 Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling JMLR 2007 Message Passing for Max-weight Independent Set NeurIPS 2007