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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)

Score-Based Causal Discovery of Latent Variable Causal Models ICML 2024 SDEs for Minimax Optimization AISTATS 2024 Second-order forward-mode optimization of recurrent neural networks for neuroscience NeurIPS 2024 Second Order Methods for Bandit Optimization and Control COLT 2024 Secret Collusion among AI Agents: Multi-Agent Deception via Steganography NeurIPS 2024 Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method JMLR 2024 Seed Selection in the Heterogeneous Moran Process IJCAI 2024 Seer: Enabling Future-Aware Online Caching in Networked Systems NSDI 2024 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024 Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation ICML 2024 Semidefinite Relaxations of the Gromov-Wasserstein Distance NeurIPS 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 Sequential Kernel Goodness-of-fit Testing ICML 2024 Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024 Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood NeurIPS 2024 ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024 Several Stories about High-Multiplicity EFx Allocation (Student Abstract) AAAI 2024 SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks CVPR 2024 Sharp analysis of power iteration for tensor PCA JMLR 2024 Sharpened Lazy Incremental Quasi-Newton Method AISTATS 2024 Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024 Shifted Interpolation for Differential Privacy ICML 2024 SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024 Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NeurIPS 2024 Sifter: An Inversion-Free and Large-Capacity Programmable Packet Scheduler NSDI 2024