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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
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2000
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Papers (including subtopics)

Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019 Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration NeurIPS 2019 Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling AAAI 2019 Profit-driven Task Assignment in Spatial Crowdsourcing IJCAI 2019 Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm ICCV 2019 Projection-Free Bandit Convex Optimization AISTATS 2019 Projection Free Online Learning over Smooth Sets AISTATS 2019 Projection onto Minkowski Sums with Application to Constrained Learning ICML 2019 Proximal Distance Algorithms: Theory and Practice JMLR 2019 Proximal Splitting Meets Variance Reduction AISTATS 2019 Pseudo-Extended Markov chain Monte Carlo NeurIPS 2019 Pure entropic regularization for metrical task systems COLT 2019 Pure Exploration with Multiple Correct Answers NeurIPS 2019 q-means: A quantum algorithm for unsupervised machine learning NeurIPS 2019 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NeurIPS 2019 Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization IJCAI 2019 Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization ICML 2019 QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge ICCV 2019 Quasi-Perfect Stackelberg Equilibrium AAAI 2019 Query-focused Sentence Compression in Linear Time EMNLP 2019 Radial Distortion Triangulation CVPR 2019 Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice AAAI 2019 Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics JMLR 2019 Randomized Iterative Algorithms for Fisher Discriminant Analysis UAI 2019 Randomized Strategies for Robust Combinatorial Optimization AAAI 2019