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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)

Learning to Warm-Start Fixed-Point Optimization Algorithms JMLR 2024 Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024 Learning with Adaptive Resource Allocation ICML 2024 Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024 Learning with Fitzpatrick Losses NeurIPS 2024 Learning with Posterior Sampling for Revenue Management under Time-varying Demand IJCAI 2024 Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize AAAI 2024 Leveraging (Biased) Information: Multi-armed Bandits with Offline Data ICML 2024 Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion CVPR 2024 Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks AISTATS 2024 Leveraging partial stragglers within gradient coding NeurIPS 2024 Lexicographic Optimization: Algorithms and Stability AISTATS 2024 LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NeurIPS 2024 LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch NeurIPS 2024 Lifelong Event Detection via Optimal Transport EMNLP 2024 Lifted Planning: Recent Advances in Planning Using First-Order Representations IJCAI 2024 Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset ICLR 2024 Light Unbalanced Optimal Transport NeurIPS 2024 Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024 Limited Query Graph Connectivity Test AAAI 2024 Limits of Approximating the Median Treatment Effect COLT 2024 Linear Causal Bandits: Unknown Graph and Soft Interventions NeurIPS 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Linear Time Approximation Algorithm for Column Subset Selection with Local Search NeurIPS 2024 Linear-time Differential Inverse Kinematics: an Augmented Lagrangian Perspective RSS 2024