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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)

Decentralized Learning in Online Queuing Systems NeurIPS 2021 Decentralized Multi-Agent Linear Bandits with Safety Constraints AAAI 2021 Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract) IJCAI 2021 Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021 Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021 Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond ICML 2021 Decomposable Submodular Function Minimization via Maximum Flow ICML 2021 Decomposition-Guided Reductions for Argumentation and Treewidth IJCAI 2021 Decomposition Strategies to Count Integer Solutions over Linear Constraints IJCAI 2021 DeEPCA: Decentralized Exact PCA with Linear Convergence Rate JMLR 2021 Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws AAAI 2021 DeepGEM: Generalized Expectation-Maximization for Blind Inversion NeurIPS 2021 Deep Generative Learning via Schrödinger Bridge ICML 2021 Deep Graph Matching Under Quadratic Constraint CVPR 2021 Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures AAAI 2021 DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition CVPR 2021 Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021 Deep Wasserstein Graph Discriminant Learning for Graph Classification AAAI 2021 Defending against Contagious Attacks on a Network with Resource Reallocation AAAI 2021 DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization IJCAI 2021 Dense Deep Unfolding Network With 3D-CNN Prior for Snapshot Compressive Imaging ICCV 2021 Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty AAAI 2021 De-randomizing MCMC dynamics with the diffusion Stein operator NeurIPS 2021 Determinantal Beam Search ACL 2021 Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD NeurIPS 2021