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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)

Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NeurIPS 2016 Extremal Mechanisms for Local Differential Privacy JMLR 2016 Fast Algorithms for Linear and Kernel SVM+ CVPR 2016 Fast Algorithms for Robust PCA via Gradient Descent NeurIPS 2016 Fast Algorithms for Segmented Regression ICML 2016 Fast and Provably Good Seedings for k-Means NeurIPS 2016 Fast Constrained Submodular Maximization: Personalized Data Summarization ICML 2016 Fast Convergence of Online Pairwise Learning Algorithms AISTATS 2016 Fast Dictionary Learning with a Smoothed Wasserstein Loss AISTATS 2016 Fast Distributed Submodular Cover: Public-Private Data Summarization NeurIPS 2016 Fast DPP Sampling for Nystrom with Application to Kernel Methods ICML 2016 Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier ICML 2016 Faster Eigenvector Computation via Shift-and-Invert Preconditioning ICML 2016 Faster Projection-free Convex Optimization over the Spectrahedron NeurIPS 2016 Fast k-means with accurate bounds ICML 2016 Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling NeurIPS 2016 Fast recovery from a union of subspaces NeurIPS 2016 Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm AISTATS 2016 Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity ICML 2016 Feature-distributed sparse regression: a screen-and-clean approach NeurIPS 2016 Finite Sample Prediction and Recovery Bounds for Ordinal Embedding NeurIPS 2016 First-order Methods for Geodesically Convex Optimization COLT 2016 Fitting Spectral Decay with the k-Support Norm AISTATS 2016 Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities NeurIPS 2016 Frequency Estimation from Waveforms Using Multi-Layered Neural Networks Interspeech 2016