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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
1,441
2000
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Papers (including subtopics)

A Faster Practical Approximation Scheme for the Permanent AAAI 2023 A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023 A Fast Maximum k-Plex Algorithm Parameterized by the Degeneracy Gap IJCAI 2023 A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023 A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NeurIPS 2023 A Formal Metareasoning Model of Concurrent Planning and Execution AAAI 2023 A Formal Perspective on Byte-Pair Encoding ACL 2023 A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback ICML 2023 A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems AAAI 2023 A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023 A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment ACL 2023 A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization AAAI 2023 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance ICLR 2023 A Law of Robustness beyond Isoperimetry ICML 2023 A Learnable Radial Basis Positional Embedding for Coordinate-MLPs AAAI 2023 Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023 Algorithmically Effective Differentially Private Synthetic Data COLT 2023 Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler COLT 2023 Algorithmic Collective Action in Machine Learning ICML 2023 Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random Designs COLT 2023 Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing NeurIPS 2023 Algorithms for bounding contribution for histogram estimation under user-level privacy ICML 2023 Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation NeurIPS 2023