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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)

GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting NeurIPS 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Generalization Analysis of Deep Non-linear Matrix Completion ICML 2024 Generalization Analysis of Stochastic Weight Averaging with General Sampling ICML 2024 Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming NeurIPS 2024 Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation ICML 2024 Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024 Generalized Eigenvalue Problems with Generative Priors NeurIPS 2024 Generalized Fast Exact Conformalization NeurIPS 2024 Generalized Linear Bandits with Limited Adaptivity NeurIPS 2024 Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes ICML 2024 Generalized Sobolev Transport for Probability Measures on a Graph ICML 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024 Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024 GeONet: a neural operator for learning the Wasserstein geodesic UAI 2024 Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division IJCAI 2024 GGD: Grafting Gradient Descent JMLR 2024 Gibbs Sampling of Continuous Potentials on a Quantum Computer ICML 2024 Global Latent Neural Rendering CVPR 2024 Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers NeurIPS 2024 Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NeurIPS 2024 Global Optimality for Non-linear Constrained Restoration Problems via Invexity ICLR 2024 Global Rewards in Restless Multi-Armed Bandits NeurIPS 2024 GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time AAAI 2024