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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)

A Simple and Strongly-Local Flow-Based Method for Cut Improvement ICML 2016 A Simple Practical Accelerated Method for Finite Sums NeurIPS 2016 A Sparse Interactive Model for Matrix Completion with Side Information NeurIPS 2016 A Spectral Modulation Sensitivity Weighted Pre-Emphasis Filter for Active Noise Control System Interspeech 2016 Assortment Optimization Under the Mallows model NeurIPS 2016 A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares JMLR 2016 A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling ICML 2016 A subtree-based factorization of dependency parsing COLING 2016 A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums ICML 2016 Asynchronous Parallel Greedy Coordinate Descent NeurIPS 2016 A Unified Approach for Learning the Parameters of Sum-Product Networks NeurIPS 2016 Automatic Glottal Inverse Filtering with Non-Negative Matrix Factorization Interspeech 2016 Average-case hardness of RIP certification NeurIPS 2016 Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction NeurIPS 2016 A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation CVPR 2016 (Bandit) Convex Optimization with Biased Noisy Gradient Oracles AISTATS 2016 Basis Learning as an Algorithmic Primitive COLT 2016 Batch Bayesian Optimization via Local Penalization AISTATS 2016 Bayesian Intermittent Demand Forecasting for Large Inventories NeurIPS 2016 Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016 Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian NeurIPS 2016 Best-of-K-bandits COLT 2016 Binary embeddings with structured hashed projections ICML 2016 Bi-Objective Online Matching and Submodular Allocations NeurIPS 2016 Bipartite Correlation Clustering: Maximizing Agreements AISTATS 2016