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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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440
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2000
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Papers (including subtopics)

Signal processing algorithm effective for sound quality of hearing loss simulators Interspeech 2024 SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding ICML 2024 SILVER: Single-loop variance reduction and application to federated learning ICML 2024 Simple online learning with consistent oracle COLT 2024 Simulation-Free Schrödinger Bridges via Score and Flow Matching AISTATS 2024 Simulation-Free Training of Neural ODEs on Paired Data NeurIPS 2024 Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms AAAI 2024 Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NeurIPS 2024 Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024 skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024 Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover NeurIPS 2024 Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates ICML 2024 SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NeurIPS 2024 Small coresets via negative dependence: DPPs, linear statistics, and concentration NeurIPS 2024 Small-loss Adaptive Regret for Online Convex Optimization ICML 2024 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NeurIPS 2024 SmartTransit.AI: A Dynamic Paratransit and Microtransit Application IJCAI 2024 Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence ICML 2024 Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning AISTATS 2024 Smooth Tchebycheff Scalarization for Multi-Objective Optimization ICML 2024 SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024 Social-Aware Group Display Configuration in VR Conference AAAI 2024 Soft-constrained Schrödinger Bridge: a Stochastic Control Approach AISTATS 2024 Solving Inverse Problems via Diffusion Optimal Control NeurIPS 2024 Solving Max-Min Fair Resource Allocations Quickly on Large Graphs NSDI 2024