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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 Dynamical System Approach to Motion and Force Generation in Contact Tasks RSS 2019 A Fast Proximal Point Method for Computing Exact Wasserstein Distance UAI 2019 A Fast Sampling Algorithm for Maximum Inner Product Search AISTATS 2019 A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NeurIPS 2019 A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations UAI 2019 A Framework for Approval-Based Budgeting Methods AAAI 2019 A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes AISTATS 2019 A Generalized Language Model in Tensor Space AAAI 2019 A Generic Acceleration Framework for Stochastic Composite Optimization NeurIPS 2019 A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique AAAI 2019 Aggregated Momentum: Stability Through Passive Damping ICLR 2019 Aggregating Incomplete Pairwise Preferences by Weight IJCAI 2019 A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization ICML 2019 A Graph Theoretic Additive Approximation of Optimal Transport NeurIPS 2019 AI at the Margins: Data, Decisions, and Inclusive Social Impact IJCAI 2019 A*+IDA*: A Simple Hybrid Search Algorithm IJCAI 2019 AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations IJCAI 2019 A Kernel Multiple Change-point Algorithm via Model Selection JMLR 2019 A Kernel Random Matrix-Based Approach for Sparse PCA ICLR 2019 Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NeurIPS 2019 Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors NeurIPS 2019 Algorithms for Average Regret Minimization AAAI 2019 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NeurIPS 2019 A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization NeurIPS 2019 Alleviating Label Switching with Optimal Transport NeurIPS 2019