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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)

Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NeurIPS 2024 Memory-Efficient LLM Training with Online Subspace Descent NeurIPS 2024 Memory-Efficient Sequential Pattern Mining with Hybrid Tries JMLR 2024 MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models NeurIPS 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024 Metric Clustering and MST with Strong and Weak Distance Oracles COLT 2024 Metric Distortion with Elicited Pairwise Comparisons IJCAI 2024 Metric Transforms and Low Rank Representations of Kernels for Fast Attention NeurIPS 2024 MG-Net: Learn to Customize QAOA with Circuit Depth Awareness NeurIPS 2024 MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence NeurIPS 2024 MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness ICML 2024 MILP-StuDio: MILP Instance Generation via Block Structure Decomposition NeurIPS 2024 Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization AAAI 2024 Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value ICML 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents AAAI 2024 Mirror and Preconditioned Gradient Descent in Wasserstein Space NeurIPS 2024 Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024 MiSO: Optimizing brain stimulation to create neural population activity states NeurIPS 2024 Mixed Fair Division: A Survey AAAI 2024 Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion AAAI 2024 MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization ACL 2024 Model-Based Best Arm Identification for Decreasing Bandits AISTATS 2024