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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)

Semi-random Impossibilities of Condorcet Criterion AAAI 2023 Semi-Random Sparse Recovery in Nearly-Linear Time COLT 2023 Sensitivity-Free Gradient Descent Algorithms JMLR 2023 Sensitivity in Translation Averaging NeurIPS 2023 Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs AAAI 2023 Sequential Counterfactual Risk Minimization ICML 2023 Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023 SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization ICLR 2023 (S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability NeurIPS 2023 SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023 Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation JMLR 2023 Sharper Bounds for ℓ_p Sensitivity Sampling ICML 2023 Sharp Spectral Rates for Koopman Operator Learning NeurIPS 2023 SharpSSAT: A Witness-Generating Stochastic Boolean Satisfiability Solver AAAI 2023 SHEPHERD: Serving DNNs in the Wild NSDI 2023 Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning NSDI 2023 Short-lived High-volume Bandits ICML 2023 Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps AAAI 2023 SIGMA: Scale-Invariant Global Sparse Shape Matching ICCV 2023 SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NeurIPS 2023 Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities NeurIPS 2023 Simplex Random Features ICML 2023 Simplification and Improvement of MMS Approximation IJCAI 2023 Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract) IJCAI 2023 Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning ICML 2023