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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)

Rectangle Search: An Anytime Beam Search AAAI 2024 Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees L4DC 2024 Reducing Balancing Error for Causal Inference via Optimal Transport ICML 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NeurIPS 2024 Refined Characterizations of Approval-Based Committee Scoring Rules AAAI 2024 Refining rtMRI Landmark-Based Vocal Tract Contour Labels with FCN-Based Smoothing and Point-to-Curve Projection COLING 2024 Reflected Schrödinger Bridge for Constrained Generative Modeling UAI 2024 Regret Analysis of Bilateral Trade with a Smoothed Adversary JMLR 2024 Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024 Reinforcement learning-driven parametric curve fitting for snake robot gait design L4DC 2024 Reinforcement Learning with Lookahead Information NeurIPS 2024 Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization ICLR 2024 Reliable Learning of Halfspaces under Gaussian Marginals NeurIPS 2024 Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas ICML 2024 Repeated Fair Allocation of Indivisible Items AAAI 2024 Replicable Learning of Large-Margin Halfspaces ICML 2024 Resolution Limit of Single-Photon LiDAR CVPR 2024 ResPilot: Teleoperated Finger Gaiting via Gaussian Process Residual Learning CoRL 2024 Responsibility in Extensive Form Games AAAI 2024 Restless bandits with rewards generated by a linear Gaussian dynamical system L4DC 2024 Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024 Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits ICML 2024 Rethinking Human Motion Prediction with Symplectic Integral CVPR 2024 Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NeurIPS 2024 Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms ICLR 2024