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

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398

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487

649

812

1,162

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1,487

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372

2000

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Papers (including subtopics)

Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NeurIPS 2006 Graph Laplacian Regularization for Large-Scale Semidefinite Programming NeurIPS 2006 Handling Advertisements of Unknown Quality in Search Advertising NeurIPS 2006 Haptic Playback: Modeling, Controller Design, and Stability Analysis RSS 2006 High-Dimensional Graphical Model Selection Using ℓ_1-Regularized Logistic Regression NeurIPS 2006 implicit Online Learning with Kernels NeurIPS 2006 Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions NeurIPS 2006 Inverse Kinematics for a Serial Chain with Joints Under Distance Constraints RSS 2006 Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NeurIPS 2006 Large-Scale Sparsified Manifold Regularization NeurIPS 2006 Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006 Linearly-solvable Markov decision problems NeurIPS 2006 Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006 Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006 Linear State-Space Models for Blind Source Separation JMLR 2006 Map-Reduce for Machine Learning on Multicore NeurIPS 2006 Max-margin classification of incomplete data NeurIPS 2006 Multi-loop Position Analysis via Iterated Linear Programming RSS 2006 Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NeurIPS 2006 Nonnegative Sparse PCA NeurIPS 2006 No-regret Algorithms for Online Convex Programs NeurIPS 2006 Online Classification for Complex Problems Using Simultaneous Projections NeurIPS 2006 Online Clustering of Moving Hyperplanes NeurIPS 2006 Online Passive-Aggressive Algorithms JMLR 2006 On the Complexity of Learning Lexicographic Strategies JMLR 2006