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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)

New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014 New Bounds on Compressive Linear Least Squares Regression AISTATS 2014 Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014 Non-convex Robust PCA NeurIPS 2014 Nonlinear Graph Sparsification for SLAM RSS 2014 Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014 Nonnegative Sparse PCA with Provable Guarantees ICML 2014 Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014 Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD CVPR 2014 Nuclear Norm Minimization via Active Subspace Selection ICML 2014 On Communication Cost of Distributed Statistical Estimation and Dimensionality NeurIPS 2014 On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 One Practical Algorithm for Both Stochastic and Adversarial Bandits ICML 2014 On Integrated Clustering and Outlier Detection NeurIPS 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 Online combinatorial optimization with stochastic decision sets and adversarial losses NeurIPS 2014 Online Decision-Making in General Combinatorial Spaces NeurIPS 2014 Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014 Online Linear Optimization via Smoothing COLT 2014 Online Optimization for Max-Norm Regularization NeurIPS 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 On the convergence of no-regret learning in selfish routing ICML 2014 On the Convergence Rate of Decomposable Submodular Function Minimization NeurIPS 2014