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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Exploration via linearly perturbed loss minimisation AISTATS 2024
A General Algorithm for Solving Rank-one Matrix Sensing AISTATS 2024
The Solution Path of SLOPE AISTATS 2024
Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization AISTATS 2024
Recovery Guarantees for Distributed-OMP AISTATS 2024
Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024
Learning-Based Algorithms for Graph Searching Problems AISTATS 2024
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization AISTATS 2024
Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024
Robust Sparse Voting AISTATS 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024
Fairness in Submodular Maximization over a Matroid Constraint AISTATS 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024
Submodular Minimax Optimization: Finding Effective Sets AISTATS 2024
Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024
Efficient Graph Laplacian Estimation by Proximal Newton AISTATS 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits AISTATS 2024
Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AISTATS 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024
Simulation-Free Schrödinger Bridges via Score and Flow Matching AISTATS 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024