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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)

Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space NeurIPS 2024 Instance-Optimal Private Density Estimation in the Wasserstein Distance NeurIPS 2024 Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation IJCAI 2024 Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning CVPR 2024 Interaction-Force Transport Gradient Flows NeurIPS 2024 Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024 Interpolating Item and User Fairness in Multi-Sided Recommendations NeurIPS 2024 Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences IJCAI 2024 Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024 Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling NeurIPS 2024 Invariant subspaces and PCA in nearly matrix multiplication time NeurIPS 2024 Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions NeurIPS 2024 Inversion-based Latent Bayesian Optimization NeurIPS 2024 Investigation into Training Dynamics of Learned Optimizers (Student Abstract) AAAI 2024 I/O Complexity of Attention, or How Optimal is FlashAttention? ICML 2024 Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions NeurIPS 2024 Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts? ICML 2024 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities ICML 2024 Iterative Methods via Locally Evolving Set Process NeurIPS 2024 Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024 ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning EMNLP 2024 John Ellipsoids via Lazy Updates NeurIPS 2024 Jolteon: Unleashing the Promise of Serverless for Serverless Workflows NSDI 2024 KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem AAAI 2024 Kernel-Based Evaluation of Conditional Biological Sequence Models ICML 2024