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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
1,441
2000
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Papers (including subtopics)

Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation NeurIPS 2024 Learning Pseudo-Contractive Denoisers for Inverse Problems ICML 2024 Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds ICML 2024 Learning Reduced Fluid Dynamics AAAI 2024 Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024 Learning relevant contextual variables within Bayesian optimization UAI 2024 Learning Small Decision Trees with Few Outliers: A Parameterized Perspective AAAI 2024 Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem ICML 2024 Learning Spanning Forests Optimally in Weighted Undirected Graphs with CUT queries ALT 2024 Learning Surrogates for Offline Black-Box Optimization via Gradient Matching ICML 2024 Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024 Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis ICML 2024 Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract) AAAI 2024 Learning to compute Gröbner bases NeurIPS 2024 Learning to Embed Distributions via Maximum Kernel Entropy NeurIPS 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems NeurIPS 2024 Learning to Pivot as a Smart Expert AAAI 2024 Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem UAI 2024 Learning to Price Homogeneous Data NeurIPS 2024 Learning to Rank for Active Learning via Multi-Task Bilevel Optimization UAI 2024 Learning to Remove Cuts in Integer Linear Programming ICML 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets ICML 2024 Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model ICLR 2024 Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming AAAI 2024 Learning to Understand: Identifying Interactions via the Möbius Transform NeurIPS 2024