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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)

Network Embedding under Partial Monitoring for Evolving Networks IJCAI 2019 Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B ACL 2019 Neuron birth-death dynamics accelerates gradient descent and converges asymptotically ICML 2019 New Convex Relaxations for MRF Inference With Unknown Graphs ICCV 2019 Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach AISTATS 2019 Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization ICML 2019 Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems NeurIPS 2019 Non-Asymptotic Pure Exploration by Solving Games NeurIPS 2019 Nonconvex Low-Rank Tensor Completion from Noisy Data NeurIPS 2019 Non-Convex Matrix Completion and Related Problems via Strong Duality JMLR 2019 Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019 Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019 Nonconvex Variance Reduced Optimization with Arbitrary Sampling ICML 2019 Nonlinear Acceleration of Primal-Dual Algorithms AISTATS 2019 Non-Local Intrinsic Decomposition With Near-Infrared Priors ICCV 2019 Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity ICML 2019 Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NeurIPS 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams JMLR 2019 Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering IJCAI 2019 Nonstochastic Multiarmed Bandits with Unrestricted Delays NeurIPS 2019 No-regret algorithms for online k-submodular maximization AISTATS 2019 No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019 No-Regret Learning in Unknown Games with Correlated Payoffs NeurIPS 2019 Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT COLT 2019