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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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440
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2000
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Papers (including subtopics)

Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes ICLR 2022 Global Convergence and Stability of Stochastic Gradient Descent NeurIPS 2022 Global Convergence of Direct Policy Search for State-Feedback H_∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential NeurIPS 2022 Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NeurIPS 2022 Globally Convergent Policy Search for Output Estimation NeurIPS 2022 Global Optimal K-Medoids Clustering of One Million Samples NeurIPS 2022 Global Optimization Networks ICML 2022 Global Optimization of K-Center Clustering ICML 2022 Global Riemannian Acceleration in Hyperbolic and Spherical Spaces ALT 2022 GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation CoRL 2022 GoTube: Scalable Statistical Verification of Continuous-Depth Models AAAI 2022 GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision CVPR 2022 GraB: Finding Provably Better Data Permutations than Random Reshuffling NeurIPS 2022 Gradient Based Clustering ICML 2022 Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NeurIPS 2022 Gradient-Free Method for Heavily Constrained Nonconvex Optimization ICML 2022 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization NeurIPS 2022 Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction NeurIPS 2022 Graph-Context Attention Networks for Size-Varied Deep Graph Matching CVPR 2022 Graph-Coupled Oscillator Networks ICML 2022 Graphical Representations for Algebraic Constraints of Linear Structural Equations Models PGM 2022 Graph Learning Assisted Multi-Objective Integer Programming NeurIPS 2022 Grassmann Stein Variational Gradient Descent AISTATS 2022 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 Group Meritocratic Fairness in Linear Contextual Bandits NeurIPS 2022