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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)

Learning to Round for Discrete Labeling Problems AISTATS 2018 Learning to Solve SMT Formulas NeurIPS 2018 Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NeurIPS 2018 Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach IJCAI 2018 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018 Legendre Decomposition for Tensors NeurIPS 2018 Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games ICML 2018 Level-Set Methods for Finite-Sum Constrained Convex Optimization ICML 2018 Leveraged volume sampling for linear regression NeurIPS 2018 Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms ICML 2018 Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives NeurIPS 2018 Linear Satisfiability Preserving Assignments (Extended Abstract) IJCAI 2018 Linear Spectral Estimators and an Application to Phase Retrieval ICML 2018 Local and Global Optimization Techniques in Graph-Based Clustering CVPR 2018 Local Convergence Properties of SAGA/Prox-SVRG and Acceleration ICML 2018 Local Identifiability of ℓ_1-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018 Locally Private Hypothesis Testing ICML 2018 Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance COLT 2018 Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018 Loss Decomposition for Fast Learning in Large Output Spaces ICML 2018 Lower Bounds for Higher-Order Convex Optimization COLT 2018 Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames NeurIPS 2018 Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018 Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch NeurIPS 2018 LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning IJCAI 2018