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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

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

Accelerating Stochastic Composition Optimization NeurIPS 2016 A Closer Look at Adaptive Regret JMLR 2016 A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order NeurIPS 2016 A Consensus-Based Framework for Distributed Bundle Adjustment CVPR 2016 A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++ NeurIPS 2016 A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery ICML 2016 AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016 Adaptive Algorithms for Online Convex Optimization with Long-term Constraints ICML 2016 Adaptive Averaging in Accelerated Descent Dynamics NeurIPS 2016 Adaptive Concentration Inequalities for Sequential Decision Problems NeurIPS 2016 Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint NeurIPS 2016 Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy NeurIPS 2016 Adaptive Skills Adaptive Partitions (ASAP) NeurIPS 2016 Additive Approximations in High Dimensional Nonparametric Regression via the SALSA ICML 2016 A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights JMLR 2016 A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length CVPR 2016 A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016 A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016 A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence COLING 2016 A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016 Agnostic Estimation for Misspecified Phase Retrieval Models NeurIPS 2016 Algorithms and matching lower bounds for approximately-convex optimization NeurIPS 2016 Algorithms for Optimizing the Ratio of Submodular Functions ICML 2016 A Light Touch for Heavily Constrained SGD COLT 2016 A Linearly-Convergent Stochastic L-BFGS Algorithm AISTATS 2016