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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)

Performative Recommendation: Diversifying Content via Strategic Incentives ICML 2023 Performative Reinforcement Learning ICML 2023 PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices CVPR 2023 PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems NeurIPS 2023 Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023 {PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023 PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023 Phase Transitions in the Detection of Correlated Databases ICML 2023 Piecewise Stationary Bandits under Risk Criteria AISTATS 2023 Plateau-Reduced Differentiable Path Tracing CVPR 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023 Policy-Based Self-Competition for Planning Problems ICLR 2023 Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games JMLR 2023 Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games ICML 2023 POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets NSDI 2023 Polynomial Preconditioning for Gradient Methods ICML 2023 Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games NeurIPS 2023 Poseidon: Efficient, Robust, and Practical Datacenter CC via Deployable INT NSDI 2023 Pose Synchronization Under Multiple Pair-Wise Relative Poses CVPR 2023 Power Bundle Adjustment for Large-Scale 3D Reconstruction CVPR 2023 Practical Markov Boundary Learning without Strong Assumptions AAAI 2023 Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity AAAI 2023 Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023 Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent NeurIPS 2023 Prediction Equilibrium for Dynamic Network Flows JMLR 2023