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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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Papers (including subtopics)

Personalized PCA: Decoupling Shared and Unique Features JMLR 2024 Perturb-and-Project: Differentially Private Similarities and Marginals ICML 2024 Pessimistic Off-Policy Multi-Objective Optimization AISTATS 2024 Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models CVPR 2024 Physics-informed machine learning as a kernel method COLT 2024 Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NeurIPS 2024 Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024 Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NeurIPS 2024 Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024 Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach ICML 2024 Piecewise-Stationary Bandits with Knapsacks NeurIPS 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NeurIPS 2024 Plant-and-Steal: Truthful Fair Allocations via Predictions NeurIPS 2024 Plug-in Performative Optimization ICML 2024 Plum: Prompt Learning using Metaheuristics ACL 2024 Policy Mirror Descent with Lookahead NeurIPS 2024 Polynomial-Time Computation of Exact Φ-Equilibria in Polyhedral Games NeurIPS 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 Position: Optimization in SciML Should Employ the Function Space Geometry ICML 2024 Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems ICML 2024 Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized ICML 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds ICML 2024 Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic JMLR 2024 Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint NeurIPS 2024 Practical Anytime Algorithms for Judicious Partitioning of Active Directory Attack Graphs IJCAI 2024