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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

1
16
133
440
1,353
1,441
2000
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Papers (including subtopics)

On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005 Optimal design of robots RSS 2005 Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005 Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005 Time Complexity of Sensor-Based Vehicle Routing RSS 2005 A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation JMLR 2004 Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces JMLR 2004 Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004 Randomized Variable Elimination JMLR 2004 Second Order Cone Programming Formulations for Feature Selection JMLR 2004 A Maximum Likelihood Approach to Single-channel Source Separation JMLR 2003 A Multiscale Framework For Blind Separation of Linearly Mixed Signals JMLR 2003 Blind Source Recovery: A Framework in the State Space JMLR 2003 Concentration Inequalities for the Missing Mass and for Histogram Rule Error JMLR 2003 Learning Rates for Q-learning JMLR 2003 Path Kernels and Multiplicative Updates JMLR 2003 A Robust Minimax Approach to Classification JMLR 2002 Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions JMLR 2002 Efficient Algorithms for Universal Portfolios JMLR 2002 Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling JMLR 2002 Minimal Kernel Classifiers JMLR 2002 On Online Learning of Decision Lists JMLR 2002 Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001 Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms JMLR 2001 Learning Evaluation Functions to Improve Optimization by Local Search JMLR 2000