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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
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2000
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Papers (including subtopics)

Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners NeurIPS 2023 Improving word mover’s distance by leveraging self-attention matrix EMNLP 2023 IMPsys: An Intelligent Mold Processing System for Smart Factory IJCAI 2023 Incentive-aware Contextual Pricing with Non-parametric Market Noise AISTATS 2023 Incentive-Boosted Federated Crowdsourcing AAAI 2023 Incentivizing Exploration with Linear Contexts and Combinatorial Actions ICML 2023 Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023 Individually Fair Learning with One-Sided Feedback ICML 2023 Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations JMLR 2023 InfoOT: Information Maximizing Optimal Transport ICML 2023 Information Design in Multi-Agent Reinforcement Learning NeurIPS 2023 Information-Directed Selection for Top-Two Algorithms COLT 2023 Information-guided Planning: An Online Approach for Partially Observable Problems NeurIPS 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023 Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NeurIPS 2023 Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023 Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023 InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators EMNLP 2023 Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023 In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks? IJCAI 2023 iPlanner: Imperative Path Planning RSS 2023 ISAAC Newton: Input-based Approximate Curvature for Newton's Method ICLR 2023 Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? ICML 2023 Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty AAAI 2023 Is Learning in Games Good for the Learners? NeurIPS 2023