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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
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2000
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Papers (including subtopics)

Highway Vehicle Counting in Compressed Domain CVPR 2016 Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/ε) NeurIPS 2016 Horizontally Scalable Submodular Maximization ICML 2016 How to calculate partition functions using convex programming hierarchies: provable bounds for variational methods COLT 2016 How to Fake Multiply by a Gaussian Matrix ICML 2016 Hybrid Accelerated Optimization for Speech Recognition Interspeech 2016 Hyperparameter optimization with approximate gradient ICML 2016 Importance Weighting Without Importance Weights: An Efficient Algorithm for Combinatorial Semi-Bandits JMLR 2016 Improved Hamming Distance Search Using Variable Length Substrings CVPR 2016 Improved Learning Complexity in Combinatorial Pure Exploration Bandits AISTATS 2016 Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits NeurIPS 2016 Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016 Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016 Incremental Task and Motion Planning: A Constraint-Based Approach RSS 2016 Instance-dependent Regret Bounds for Dueling Bandits COLT 2016 Interacting Particle Markov Chain Monte Carlo ICML 2016 Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares JMLR 2016 Iterative Regularization for Learning with Convex Loss Functions JMLR 2016 Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization NeurIPS 2016 Joint Probabilistic Matching Using m-Best Solutions CVPR 2016 Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes NeurIPS 2016 Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds CVPR 2016 Kinematic Structure Correspondences via Hypergraph Matching CVPR 2016 Laplacian Patch-Based Image Synthesis CVPR 2016 Large Scale Online Kernel Learning JMLR 2016