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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
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2000
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Papers (including subtopics)

Accelerating training of batch normalization: A manifold perspective UAI 2022 Acceleration in Distributed Optimization under Similarity AISTATS 2022 Acceleration in Distributed Sparse Regression NeurIPS 2022 Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022 Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations IJCAI 2022 A Combinatorial Perspective on the Optimization of Shallow ReLU Networks NeurIPS 2022 A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NeurIPS 2022 A competitive analysis of online failure-aware assignment UAI 2022 A composable machine-learning approach for steady-state simulations on high-resolution grids NeurIPS 2022 A consistently adaptive trust-region method NeurIPS 2022 A Continuous Time Framework for Discrete Denoising Models NeurIPS 2022 A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows AISTATS 2022 A Convergent and Dimension-Independent Min-Max Optimization Algorithm ICML 2022 Active Labeling: Streaming Stochastic Gradients NeurIPS 2022 Active Learning Polynomial Threshold Functions NeurIPS 2022 Active Structure Learning of Bayesian Networks in an Observational Setting JMLR 2022 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022 AdaGrad Avoids Saddle Points ICML 2022 AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method AAAI 2022 Adam Can Converge Without Any Modification On Update Rules NeurIPS 2022 A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate NeurIPS 2022 Adapting to Mixing Time in Stochastic Optimization with Markovian Data ICML 2022 Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022 Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence AAAI 2022 Adaptive Bandit Convex Optimization with Heterogeneous Curvature COLT 2022