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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)

A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NeurIPS 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 Adaptive Non-Stationary Kernel Regression for Terrain Modeling RSS 2007 Adaptive Online Gradient Descent NeurIPS 2007 A Discrete Geometric Optimal Control Framework for Systems with Symmetries RSS 2007 A Fast and Practical Algorithm for Generalized Penetration Depth Computation RSS 2007 A Game-Theoretic Approach to Apprenticeship Learning NeurIPS 2007 A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation JMLR 2007 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007 An Implicit Time-Stepping Method for Multibody Systems with Intermittent Contact RSS 2007 An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression JMLR 2007 A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007 A Unified Continuous Optimization Framework for Center-Based Clustering Methods JMLR 2007 A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections NeurIPS 2007 Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains RSS 2007 Better than least squares: comparison of objective functions for estimating linear-nonlinear models NeurIPS 2007 Blind channel identification for speech dereverberation using l1-norm sparse learning NeurIPS 2007 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Catching Change-points with Lasso NeurIPS 2007 Competition Adds Complexity NeurIPS 2007 Compressed Regression NeurIPS 2007 Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NeurIPS 2007