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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
133
440
1,353
1,441
2000
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Papers (including subtopics)

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization AISTATS 2024 Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition IJCAI 2024 Enhancing Sufficient Dimension Reduction via Hellinger Correlation ICML 2024 Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling AAAI 2024 EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024 Ensemble sampling for linear bandits: small ensembles suffice NeurIPS 2024 Entropic Gromov-Wasserstein Distances: Stability and Algorithms JMLR 2024 Envy-Free House Allocation under Uncertain Preferences AAAI 2024 EPVerifier: Accelerating Update Storms Verification with Edge-Predicate NSDI 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Equilibria in Two-Stage Facility Location with Atomic Clients IJCAI 2024 Equilibrium Computation in Multidimensional Congestion Games: CSP and Learning Dynamics Approaches UAI 2024 Equilibrium of Data Markets with Externality ICML 2024 Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context AAAI 2024 Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024 Equivariant Deep Weight Space Alignment ICML 2024 Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NeurIPS 2024 Error-aware Sampling in Adaptive Shells for Neural Surface Reconstruction IJCAI 2024 Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024 Estimating Barycenters of Distributions with Neural Optimal Transport ICML 2024 Estimating Fog Parameters From an Image Sequence Using Non-Linear Optimisation WACV 2024 Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NeurIPS 2024 Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024 Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure JMLR 2024 Evaluation of Project Performance in Participatory Budgeting IJCAI 2024