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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
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2000
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Papers (including subtopics)

Model Collapse Demystified: The Case of Regression NeurIPS 2024 Model Counting and Sampling via Semiring Extensions AAAI 2024 Model Predictive Control for Aggressive Driving Over Uneven Terrain RSS 2024 Momentum Particle Maximum Likelihood ICML 2024 MoMo: Momentum Models for Adaptive Learning Rates ICML 2024 Monoculture in Matching Markets NeurIPS 2024 Monotone Individual Fairness ICML 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NeurIPS 2024 Moral Uncertainty and the Problem of Fanaticism AAAI 2024 Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy ICML 2024 More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization JMLR 2024 Motif-oriented influence maximization for viral marketing in large-scale social networks NeurIPS 2024 Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024 Multi-agent coverage control with transient behavior consideration L4DC 2024 Multi-Agent Imitation Learning: Value is Easy, Regret is Hard NeurIPS 2024 Multi-armed bandits with guaranteed revenue per arm AISTATS 2024 Multiclass Online Learnability under Bandit Feedback ALT 2024 Multiclass Transductive Online Learning NeurIPS 2024 Multidimensional Fractional Programming for Normalized Cuts NeurIPS 2024 Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity UAI 2024 Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation Interspeech 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024 Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024 Multiple-output composite quantile regression through an optimal transport lens COLT 2024