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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
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2000
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Papers (including subtopics)

Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models AAAI 2021 Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021 PICCOLO: Point Cloud-Centric Omnidirectional Localization ICCV 2021 PID Accelerated Value Iteration Algorithm ICML 2021 Piper: Multidimensional Planner for DNN Parallelization NeurIPS 2021 PluckerNet: Learn To Register 3D Line Reconstructions CVPR 2021 PoA of Simple Auctions with Interdependent Values AAAI 2021 Pointwise Bounds for Distribution Estimation under Communication Constraints NeurIPS 2021 Polarimetric Normal Stereo CVPR 2021 Policy-Guided Heuristic Search with Guarantees AAAI 2021 POT: Python Optimal Transport JMLR 2021 Power in Liquid Democracy AAAI 2021 Power of Hints for Online Learning with Movement Costs AISTATS 2021 Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient NeurIPS 2021 Practical Null Steering in Millimeter Wave Networks NSDI 2021 Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization NeurIPS 2021 Prediction against a limited adversary JMLR 2021 Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021 Preference-based Online Learning with Dueling Bandits: A Survey JMLR 2021 Preference Elicitation as Average-Case Sorting AAAI 2021 Present-Biased Optimization AAAI 2021 Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator L4DC 2021 Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021 Prior-independent Dynamic Auctions for a Value-maximizing Buyer NeurIPS 2021 Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021